<div>Scale is at the forefront of enabling Machine Learning across multiple industries including self driving cars.  As one of Scale's Operations product managers, you'll be designing and building new solutions, tools, and processes to solve new problems that arise as we grow.  We are growing operations rapidly and on-boarding new customers and launching products all the time.  This raises new strategic questions we need to answer as well as tactical challenges we need to overcome. </div><div><br></div><div> You will be part of a team of cross functional communicators and collaborators who will shape our operations products  and solutions. You are relentless in driving stellar product and process designs, running pilots, tests, and experiments, then hand over new designs to a team of skilled operators. </div><div><br></div><div> The blend of strategy, implementation, and design make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe.</div><div><br></div><div> The ideal candidate is scrappy, analytical, outcome focused, and above all a leader who gets and inspires results.&nbsp;</div>

Scale is at the forefront of enabling Machine Learning across multiple industries including self driving cars.  As one of Scale's Operations product managers, you'll be designing and building new solutions, tools, and processes to solve new problems that arise as we grow.  We are growing operations rapidly and on-boarding new customers and launching products all the time.  This raises new strategic questions we need to answer as well as tactical challenges we need to overcome. 

 You will be part of a team of cross functional communicators and collaborators who will shape our operations products  and solutions. You are relentless in driving stellar product and process designs, running pilots, tests, and experiments, then hand over new designs to a team of skilled operators. 

 The blend of strategy, implementation, and design make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe.

 The ideal candidate is scrappy, analytical, outcome focused, and above all a leader who gets and inspires results. 


<li><b>Build &amp; Iterate:</b> Design new processes and tools and drive their implementation across the organization within the US and globally. Collaborate with stakeholders to improve processes for new and existing customers.</li><li><b>Analyze &amp; Experiment: </b>Use quantitative experimentation to derive result-oriented actions for user acquisition, retention, experience, and performance. </li><li><b>Plan &amp; Strategize: </b>Problem solve some of our most pressing strategic operations challenges.</li><li><b>Work cross-functionally: </b>Partner with Product teams to drive step-function changes in how we can scale operations. Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy.</li>

<li>1+ years of industry experience in an operational role and/or 2+ years in a top tier consulting firm.&nbsp;</li><li>An undergraduate from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business.</li><li>Experience leading and influencing without authority.</li><li>An entrepreneurial mindset that balances creative problem solving with the desire to run through walls to deliver outcomes.</li><li>Analytical, planning, and process building capability.</li>

<div>The Quality Assurance Specialist role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a self-starter, detail-oriented and great at multitasking. The role will be focused on monitoring and maintaining the quality of completed tasks. You would be juggling multiple tasks a day, perfect for individuals who value variety and challenge in their work. You would be working cross-functionally with Customer Operations, Sales, Product, Supply Ops, and Engineering to drive improvements in quality. </div><div><br></div>

The Quality Assurance Specialist role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a self-starter, detail-oriented and great at multitasking. The role will be focused on monitoring and maintaining the quality of completed tasks. You would be juggling multiple tasks a day, perfect for individuals who value variety and challenge in their work. You would be working cross-functionally with Customer Operations, Sales, Product, Supply Ops, and Engineering to drive improvements in quality. 



<li>Label machine learning data from customers</li><li>Complete tasks in a timely manner, meeting SLA deadlines</li><li>Do post-process audits and write error reports on data and tasks</li><li>Work in-sync with Supply Managers to meet weekly goals</li><li>Follow up with Customer Operations in regards to questions about quality</li><li>Identify and resolve the root cause of low quality and provide feedback to respective teams on product improvements</li>

<li>Advanced English skills</li><li>.5 to 3 years of customer-service or general work experience </li><li>Help create processes and best practices&nbsp;</li><li>Strong attention to detail&nbsp;</li><li>Great communication skills to work well with others</li><div><br></div><div><br></div>

<li>Data labeling experience</li><li>Previous QA experience</li><li>You play video games! </li>

<div>The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are Computer Vision ( 2D/3D detection, 2D/3D segmentation, object tracking), Machine Learning (e.g. semi-supervised learning, active learning) and Natural Language Processing.&nbsp; </div><div><br></div><div>We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.</div>

The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are Computer Vision ( 2D/3D detection, 2D/3D segmentation, object tracking), Machine Learning (e.g. semi-supervised learning, active learning) and Natural Language Processing.  

We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.


<li>Research and develop machine learning solutions to assist humans in the loop.</li><li>Aid in the creation of high quality ground truth data with speed and accuracy.</li><li>Engage with the international research community by publishing research papers and attend academic conferences.</li>

As an Applied Research Scientist, you will:

<li>PhD degree in a machine learning related discipline or equivalent practical experience</li><li>Experience in one or more of the following: Computer Vision, Deep Learning and Deep Reinforcement Learning, Natural Language Processing</li><li>Strong programming skills in Python, experience in Tensorflow or PyTorch</li><li>Experience in data structures and algorithms is a plus</li>

<div>As a Business Data Analyst, you will build our business analytics vertical and drive insights that lead to step-function operational improvements. In this role, you will partner with leadership and teams from across the business—from sales to finance—to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will vary from one-off investigations to building core dashboards and tables, and it will directly evolve how Scale operates and measures itself. We are looking for candidates who are incessantly curious and who love creating insights out of ambiguity.</div>

As a Business Data Analyst, you will build our business analytics vertical and drive insights that lead to step-function operational improvements. In this role, you will partner with leadership and teams from across the business—from sales to finance—to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will vary from one-off investigations to building core dashboards and tables, and it will directly evolve how Scale operates and measures itself. We are looking for candidates who are incessantly curious and who love creating insights out of ambiguity.


<li>Collaborate with leadership, finance, marketing, and sales teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making</li><li>Work closely with other teams to investigate problems, uncover root causes, and drive quantitative solutions</li><li>Measure and effectively communicate results to the entire organization</li><li>Help operators across the business better understand our customers, taskers, and pipeline efficiency</li><li>Develop repeatable, scalable analytical solutions, such as dashboards, models, or better underlying tables</li>

<li>2+ years of relevant work experience in a role requiring application of data and analytics to business problems</li><li>Mastery of SQL and relational databases; experience with scripting languages (e.g., Python/R), </li><li>Experience with BI tools (e.g., Tableau), and Excel preferred</li><li>Experience designing and building dashboards (Tableau) - understanding which metrics are most meaningful to the business and the cadence required to measure them</li><li>Excellent communication and data visualization skills, and the ability to convey complex ideas succinctly </li><li>Ability to initiate and drive projects to completion with minimal guidance</li>

<li>Experience with finance and US GAAP accounting principles</li><li>Familiarity with Salesforce&nbsp;</li>

<div>As Scale’s first Product Data Scientist, you will lead the charge on building our product analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented product data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.</div>

As Scale’s first Product Data Scientist, you will lead the charge on building our product analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented product data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.


<li>Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.</li><li>Ensure product areas are performing in line with our high expectations and be able to identify, diagnose, and recommend projects to improve our performance.</li><li>Influence product teams through presentation of data-based recommendations.</li><li>Identify operational efficiencies to the business that will enable Scale to continue growing sustainably.</li><li>Design, run, and analyze experiments.</li><li>Apply statistical models to identify root causes and predict the future performance of tasks, users, and products.</li><li>Conduct statistical and trend analysis to identify opportunities, highlight strengths, and provide recommended corrective actions.</li>

<li>4-6+ years of industry experience in product data science broadly</li><li>Strong proficiency in writing complex SQL queries</li><li>Mastery with data science tools such as R, and/or Python</li><li>Experience with statistical modeling and experimental design</li><li>A detail-oriented and analytical mindset, with emphasis on accuracy</li>

<div>Scale is hiring a Product Designer to lead our 2D product vertical. Our suite of <a href="https://scale.com/computer-vision" class="postings-link">computer vision applications</a> is used by decentralized labeling teams to annotate training data that teaches machine learning models how to function. Our 2D data platform offerings include image, video, and mapping annotation task types, as well as new collaborations with our 3D and NLP product teams.</div><div><br></div><div>You will drive the design vision for these interactive tools, making them more intuitive and powerful while integrating cutting-edge AI active learning workflows. Additionally, you will be the key advocate for supporting the livelihoods of <a href="https://scale.com/blog/positive-externalities" class="postings-link">thousands of labelers around the world</a>. As such, our Product Designer role is extremely cross-functional, involving everything from tooling design to operational dashboards.</div><div><br></div><div>There are only a handful of designers working in AI, so you will have an outsized influence defining how to sustainably democratize machine learning and empower all people in the ecosystem.</div>

Scale is hiring a Product Designer to lead our 2D product vertical. Our suite of computer vision applications is used by decentralized labeling teams to annotate training data that teaches machine learning models how to function. Our 2D data platform offerings include image, video, and mapping annotation task types, as well as new collaborations with our 3D and NLP product teams.

You will drive the design vision for these interactive tools, making them more intuitive and powerful while integrating cutting-edge AI active learning workflows. Additionally, you will be the key advocate for supporting the livelihoods of thousands of labelers around the world. As such, our Product Designer role is extremely cross-functional, involving everything from tooling design to operational dashboards.

There are only a handful of designers working in AI, so you will have an outsized influence defining how to sustainably democratize machine learning and empower all people in the ecosystem.


<li><b>Design</b> user flows with our 2D computer vision team to invent new products and make labeling applications more intuitive. The nature of our work calls for special focus on elegant interaction design.</li><li><b>Partner</b> with PMs, Engineers, and Ops folks to solve product challenges. As the design leader of your vertical, advocate for the voice of the user and prioritize your work given high amounts of ambiguity.</li><li><b>Evolve</b> the company-wide design system to provide a high quality experience.</li><li><b>Share</b> your perspective through hiring, mentoring, and establishing an empathetic design culture within the company.</li><li><b>Go beyond</b> the pixels. We're not territorial here, so designers are frequent contributors on company strategy, product direction, and anything else you're interested in.</li>

<li><b>Leadership</b>. A track record of driving digital product design projects from research through release and shipping at scale (3+ years of experience).</li><li><b>Portfolio</b>. An impressive body of work that highlights your diverse design skillset.</li><li><b>Domain expertise</b>. Unique viewpoints on design tools, mapping software, data visualization, and graphics applications that add something new to the team.</li><li><b>Technical chops</b>. Exposure to AI, machine learning, or computer vision will be helpful. Bonus points for frontend web development.</li><li><b>Internationalization</b>. Experience designing for a global audiences with a variety of different needs.</li><li><b>Initiative</b>. Examples of how you have proactively identified problems and rallied support in the past.</li>

<li><b>Who are we?</b> Design is a lean team of 7: three Product Designers, a hybrid Designer-Engineer, a UI Developer, a Brand Director, and a Design Manager. We come from a diverse mix of different countries and backgrounds, with origin stories as architects, coders, marketers, and mechanical engineers.</li><li><b>Collaboration at our core.</b> Our stack is Figma, Zoom, the prototyping tool of your choice, and a Slack channel full of lively discussion and fun diversions. We own our own areas, but sit together every day, run a feedback session every week, and hold an offsite every year.</li><li><b>Design sets us apart.</b> Scale regards design as a core differentiator and powerful lever in building an amazing customer experience.</li><li><b>Join a (really) fast-growing company.</b> Scale is a Series C startup that reached a <a href="https://scale.com/blog/series-c" class="postings-link">$1B valuation</a> with less than 100 employees. We’re blazing the trail in an AI industry that’s growing tremendously year over year!</li>

<div>As Demand Generation Manager, you will be handling a portfolio of highly effective and visible multi-touch, multi-channel marketing programs that support the company’s pipeline and revenue goals. You will be responsible for aligning yourself with the sales organization and helping them to target their most important accounts in a productive and effective way. </div><div><br></div><div> What will make you successful is also to have a strong traditional background working with sales and demand generation including planning, message development and execution of marketing programs. This role is best suited for a data driven high-achiever with proven ability to develop B2B marketing programs both on the strategic and tactical level.&nbsp;</div>

As Demand Generation Manager, you will be handling a portfolio of highly effective and visible multi-touch, multi-channel marketing programs that support the company’s pipeline and revenue goals. You will be responsible for aligning yourself with the sales organization and helping them to target their most important accounts in a productive and effective way. 

 What will make you successful is also to have a strong traditional background working with sales and demand generation including planning, message development and execution of marketing programs. This role is best suited for a data driven high-achiever with proven ability to develop B2B marketing programs both on the strategic and tactical level. 


<li>Work closely with sales leadership, sales directors and sales development</li><li>Communicate and educate the sales organization regarding new and upcoming programs and campaigns.</li><li>Understand content/messaging to guide sales representatives on how to engage with their top accounts</li><li>Develop audience segments based on to each persona/industry to effectively target and fuel the pipeline</li><li>Manage end-to-end multi-channel demand generation and ABM programs and campaigns including direct mail, display advertising, paid social and email marketing</li><li>Create custom landing pages with the help of sales representatives and content team</li>

<li>3+ years of prior demand generation marketing experience</li><li>Understand lead to contact lifecycle journey of as they become MQLs, opportunities, and customers. You will be extremely data-driven and will know how all of our different audiences are converting throughout the funnel.</li><li>Ability to learn new technologies, products and systems quickly.</li><li>Experience in evolving marketing programs based on account intelligence, performance data, ground level feedback from sales and understanding of the business.</li><li>Experience with online and offline marketing programs with knowledge of current trends, media and tools.</li><li>Experience using Salesforce.com and marketing automation tools (preferably Hubspot) to capture, track and report on leads.</li><li>Creative spark as expressed in ideas for messaging, creative design, etc.</li><li>Must pay maniacal attention to detail, strong project management and time management skills.</li><li>Creative, innovative, resourceful, with a get-it-done and why not faster mentality.</li><li>Ability to work successfully in an ever-changing environment with competing priorities.</li>

<li>Proficient experience with Photoshop, Figma, or Sketch</li><li>Strong problem solving skills, including the ability to define problems, collect data, establish facts and draw valid conclusions</li><li>Strong analytical orientation</li><li>Excellent prioritization skills and ability to deal with ambiguity</li><li>Working knowledge of web development; HTML, CSS, SQL</li>

<div>Scale is a rapidly growing, venture backed series-C startup that is changing the way organizations around the world build AI applications. We are looking for a strong business development leader who can help us offer our product to government agencies as the US govt. continues to build up its capabilities surrounding AI and ML. This role will have a high degree of autonomy, be deeply involved in overall strategy, help establish a new line of business for Scale, and have massive impact on the adoption of cutting edge technologies for the nation.&nbsp;</div>

Scale is a rapidly growing, venture backed series-C startup that is changing the way organizations around the world build AI applications. We are looking for a strong business development leader who can help us offer our product to government agencies as the US govt. continues to build up its capabilities surrounding AI and ML. This role will have a high degree of autonomy, be deeply involved in overall strategy, help establish a new line of business for Scale, and have massive impact on the adoption of cutting edge technologies for the nation. 


<li>Map out the federal government to identify key areas of opportunity for Scale’s business and offerings.</li><li>Pursue those opportunities and then establish a clear GTM strategy</li><li>Be involved in everything from writing RFPs to pitching directly to key stakeholders on what Scale’s business can offer. </li><li>Leverage technical teams and other key stakeholders across the executive level to help discuss emerging trends in AI/ML</li>

<li>5-7+ years of experience in business development or a similar function</li><li>Experience with selling directly into federal agencies</li><li>Established relationships or connections in the industry</li><li>A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment.</li><li>Experience in AI/ML</li><li>Desire to work and learn with a highly technical product and team.</li>

<div>Scale's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong Scale users. As a member of our Customer Operations team, you own the account plan, manage day to day execution for customers and ensure an incredible customer experience.  You are the ultimate all-rounder, triaging customer issues and support, using data and analytics to align internal resources around a successful customer experience, while also being the main contact and advocate for customers' senior executives and engineering teams. Your bias towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on SLAs. You have a track record of managing customers to renewal and supporting sales teams managing upsells. And you are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions.</div>

Scale's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong Scale users. As a member of our Customer Operations team, you own the account plan, manage day to day execution for customers and ensure an incredible customer experience.  You are the ultimate all-rounder, triaging customer issues and support, using data and analytics to align internal resources around a successful customer experience, while also being the main contact and advocate for customers' senior executives and engineering teams. Your bias towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on SLAs. You have a track record of managing customers to renewal and supporting sales teams managing upsells. And you are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions.


<li>Manage customer relationships from the executive to the front-line, including planning and executing operational and quarterly business reviews </li><li>Oversee on-boarding and successful implementation for all new accounts</li><li>Develop and manage all aspects of the customer experience, including SLA achievement and account plans</li><li>Manage the long-term health of the customer base by identifying and preempting areas of risk or concern</li><li>Strategically identify ways we can make customer success repeatable and solve issues for future customers</li><li>Partner with clients to understand operational issues and advocate for their fixes with Scale engineers</li><li>Work directly with customer's engineering teams, answering questions and addressing issues with use of our API</li>

<li>Minimum 2 and ideally 3 years of total work experience, with experience in a customer-facing technical program management role in industry or professional services engagement management</li><li>Senior Consultant (or strong trajectory) / Engagement Management role at a Big 3 Consulting Firm</li><li>A technical background (education or professional experience with CS, Economic, Statistics, Engineering)</li><li>A proven track record in B2B client facing roles and expanding client relationships</li><li>Ability to understand the Scale API and build great relationships with technical customers</li><li>Great cross-functional experience and collaborative ability</li><li>Excellent verbal and written communications</li><li>A track record of structured, analytics-driven problem solving</li><li>A history of diligence and organization across multiple work streams</li>

<li>Prior experience at an API technology company and / or managing technical customers using an API</li>

<div>We’re looking for a Field Engineer who is technical and excited to build solutions for our clients. The role is first and foremost an engineer and a builder who will maintain strong relationships with our technical clients and help scale their problems. This individual would also adapt a product mindset to have significant impact on our core product (NLP, 2D, and 3D labelling) while working on integrations and systems design for customers. The work will vary day to day, and we’re looking for technical experts who are excited to solve tough problems.</div>

We’re looking for a Field Engineer who is technical and excited to build solutions for our clients. The role is first and foremost an engineer and a builder who will maintain strong relationships with our technical clients and help scale their problems. This individual would also adapt a product mindset to have significant impact on our core product (NLP, 2D, and 3D labelling) while working on integrations and systems design for customers. The work will vary day to day, and we’re looking for technical experts who are excited to solve tough problems.


<li>Solve hard problems and deploy solutions for our technical customers</li><li>Interact with customers on a day-to-day basis to understand their pain points and design solutions</li><li>Impact our product by integrating customer feedback directly to our product&nbsp;</li><li>Work cross-functionally with Customer Operations and Engineering team while independently driving key initiatives</li>

<li>Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields</li><li>Experience working with technical and nontechnical cross-functional partners and clients</li><li>At least a Bachelor’s degree (or equivalent) in a relevant field</li><li>Proficiency in languages such as Javascript, Python, or similar languages</li><li>Strong problem-solving mindset and attitude to solve ambiguous challenges&nbsp;</li>

<li>Experience in AI </li><li>Previous experience as a Field Engineer</li>

<div>As an Operations Program Manager, you will manage the day-to-day operations of our data labeling system and will be involved with everything from hiring, to personnel management, to ensuring that SLAs are delivered at a high level of quality and on time. You will build a team of high quality data labelers, align with our customers to understand what they want and improve and deliver high quality data annotations as efficiently as possible.</div>

As an Operations Program Manager, you will manage the day-to-day operations of our data labeling system and will be involved with everything from hiring, to personnel management, to ensuring that SLAs are delivered at a high level of quality and on time. You will build a team of high quality data labelers, align with our customers to understand what they want and improve and deliver high quality data annotations as efficiently as possible.


<li>Hire and build a team from scratch</li><li> Work with other functions of the company such as quality operations, product operations and engineering to execute on delivering SLAs</li><li>Manage over 50 people to ensure delivering on all federal projects for Scale</li><li>Be in-charge of several SLAs with high profile customers</li><li>Partner with leadership on certain federal focused projects</li>

<li>3-5+ years of experience in a program manager/ general manager position or a similar operations role</li><li>Experience growing and owning an org</li><li>An analytical, problem solving and grit mindset to deliver results </li><li>Low-ego and willing to hustle and grind</li><li>Someone who has "owned" a number in the past, ideally outside of sales</li>

<li>Advanced SQL knowledge</li><li>Experience working with federal government, security clearance </li><li>Experience coding </li>

<div>Scale is building out one of the largest hybrid human-machine systems. Our self-regulating system automatically trains workers and ensures continuous quality and optimal allocation. We have thousands of human labelers that complete millions of tasks a month, and that comes with a host of interesting technical challenges. From product to systems to infrastructure engineering, we’re tackling it all to accelerate the development of AI. </div>

Scale is building out one of the largest hybrid human-machine systems. Our self-regulating system automatically trains workers and ensures continuous quality and optimal allocation. We have thousands of human labelers that complete millions of tasks a month, and that comes with a host of interesting technical challenges. From product to systems to infrastructure engineering, we’re tackling it all to accelerate the development of AI. 


<li>Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.</li><li>Properly route tasks from customers to labelers for low turnaround and high accuracy.</li><li>Build methods to automatically measure and train labelers and optimally match labelers to tasks based on performance.</li><li>Create optimized and efficient UI/UX tooling for Scalers to complete hundreds of complex tasks.</li><li>Build robust machine learning models to automate requests and improve our labelers’ efficiency.</li>

<li>Industry experience as a software engineer post graduation</li><li>Systems engineering experience with real-time and distributed system architecture.</li><li>Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services.</li><li>Experience building systems that process large volumes of data.</li><li>Experience with React, <a href="http://Node.js" class="postings-link">Node.js</a> and/or MongoDB.</li><li>At least a Bachelor’s degree (or equivalent) in a relevant field. </li>

<div>The goal of a research engineer at scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve <a href="http://scale.ai" class="postings-link">scale.ai</a>’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.</div><div><br></div><div> We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.&nbsp;</div>

The goal of a research engineer at scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.

 We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly. 


<li>Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.</li><li>Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics</li><li>Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines</li><li>Work with massive datasets to develop both generic models as well as fine tune models for specific products</li><li>Build the scalable ML platform to automate our ML services</li><li>Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization</li><li>Be able, and willing, to multi-task and learn new technologies quickly</li>

<li>Degree in computer science, or related field</li><li>Experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment</li><li>Solid background in algorithms, data structures, and object-oriented programming</li><li>Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch</li>

<li>Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization</li><li>Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment</li>

<div>As Scale's Technical Product Marketing Manager, you will provide an important internal voice for our customer needs, helping shape our product roadmap and working closely with our team to strategically bring our products, vision, and voice to the market. As part of this role, you will create content for our our products and campaigns, and other collateral to drive clear results across a variety of customer channels. You'll collaborate with coworkers from across Scale to deeply understand our product and vision for the future, and use these insights to craft an engineer-focused brand voice that resonates with technical and business buyers alike.&nbsp;</div>

As Scale's Technical Product Marketing Manager, you will provide an important internal voice for our customer needs, helping shape our product roadmap and working closely with our team to strategically bring our products, vision, and voice to the market. As part of this role, you will create content for our our products and campaigns, and other collateral to drive clear results across a variety of customer channels. You'll collaborate with coworkers from across Scale to deeply understand our product and vision for the future, and use these insights to craft an engineer-focused brand voice that resonates with technical and business buyers alike. 


<li>Become an expert on Scale and AI to develop product positioning for different customers, industries, and use cases</li><li>Partner with and participate in Sales deals to gather first-hand information on customer needs</li><li>Work with leadership to develop and refine Scale's messaging, brand positioning, event participation, and PR activities</li><li>Create one-to-many content pieces which evangelize Scale and educate potential customers</li><li>Work closely with cross-functional stakeholders on product, engineering, and design</li><li>Engage with customers and collaborate on case studies </li><li>Interact with current and prospective customers &amp; workers in various forums to evangelize Scale</li><li>Stay abreast of market developments and trends in order to create work that is both relevant and informative</li><li>Analyze the impact of your work and use that to strategically shape future content </li><li>Collaborate on marketing programs such as events and thought-leadership content</li>

<li>3+ years of experience in product marketing, particularly in B2B enterprise environments</li><li>A technical background, or an aptitude for and interest in technical subjects</li><li>Intuition for how to build content that appeals to Machine Learning Engineers and other highly technical customers</li><li>A strong interest in creating demonstrable impact, and an aptitude for defining and pursuing quantifiable metrics</li><li>Exceptional communication, proofreading, prioritization, and time management skills</li><li>Ability to thrive in fast-paced environments and wear multiple hats</li><li>Outstanding level of attention to detail</li><li>Demonstrated the importance of data and having a data-driven mindset  </li><li>A critical eye and history of taking well articulated, defensible stances on complex and ambiguous subjects</li>

<li>Experience with AI</li><li>Experience with BI/Analytics&nbsp;</li>

<div>The goal of a research engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve <a href="http://scale.ai" class="postings-link">scale.ai</a>’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.</div><div><br></div><div> We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.&nbsp;</div>

The goal of a research engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.

 We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly. 


<div>The Quality Assurance Specialist role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a self-starter, detail-oriented and great at multitasking. The role will be focused on monitoring and maintaining the quality of completed tasks. You will be juggling multiple tasks a day, perfect for individuals who value variety and challenge in their work. You will be working cross-functionally with Supply Ops and Engineering to drive improvements in quality.&nbsp;</div>

The Quality Assurance Specialist role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a self-starter, detail-oriented and great at multitasking. The role will be focused on monitoring and maintaining the quality of completed tasks. You will be juggling multiple tasks a day, perfect for individuals who value variety and challenge in their work. You will be working cross-functionally with Supply Ops and Engineering to drive improvements in quality. 


<li>Label machine learning data from customers </li><li>Complete tasks in a timely manner, meeting SLA deadlines </li><li>Do post-process audits and write error reports on data and tasks </li><li>Work in-sync with Supply Managers to meet weekly goals </li><li>Identify and resolve the root cause of low quality and provide feedback to respective teams on product improvements&nbsp;</li>

<li>Must be a US Citizen, and must be able to pass Background Check</li><li>Must be willing and have ability to obtain and maintain a Secret Security Clearance</li><li>Highly organized and able to take direction well</li><li>Ability to work full-time hours (8-hour workdays)</li><li>Ability to work independently, cooperatively, and collaboratively as a team member</li><li>Possession of excellent oral and written skills, including non-technical writing</li><li>Excellent analytical skills, coupled with a strong sense of ownership, urgency, and drive</li><li>Proficient in Microsoft Office products</li><li>Ability to handle ambiguity and changing priorities</li>

<div>We are looking for a talented, motivated Engineering Leader to join our Infrastructure Engineering team and help us continue to scale as quickly as we can. The team is looking for a leader who wants to bring their passion for infrastructure to help build our world class products. In this role, you would be expected to lead and manage the Infrastructure/Platform Team. The mission of this team is to provide cutting edge, reliable and easy to use infrastructure for numerous Engineering, Data, and Analytics customers within scale. This team is responsible for powering the core of the business including; data ingestion, distributed compute framework, querying infrastructure and platform security.</div>

We are looking for a talented, motivated Engineering Leader to join our Infrastructure Engineering team and help us continue to scale as quickly as we can. The team is looking for a leader who wants to bring their passion for infrastructure to help build our world class products. In this role, you would be expected to lead and manage the Infrastructure/Platform Team. The mission of this team is to provide cutting edge, reliable and easy to use infrastructure for numerous Engineering, Data, and Analytics customers within scale. This team is responsible for powering the core of the business including; data ingestion, distributed compute framework, querying infrastructure and platform security.


<li>Be responsible for growing and developing a team of talented and motivated engineers with high expectations around individual ownership and impact</li><li>Set the direction of your team; anticipate strategic and scaling-related challenges via thoughtful planning, both from a personnel and technical standpoint</li><li>Foster a collaborative, ambitious, and outcome-driven culture that embodies our values.</li><li>Work hands on with the engineers/program managers to design new solutions and take on technical problems yourself</li><li>As the engineering lead for a infrastructure team, work closely with the various partner teams to understand and align with their roadmaps and goals to maximize your team’s impact</li><li>Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams in a high availability way</li><li>Partner with our People team to attract and engage top talent</li><li>Use your strong technical background to discuss and guide on complex problems</li><li>Be responsible for accelerating velocity for our infra/data org</li><li>Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members</li>

<li>Prior startup experience to help us grow responsibly</li><li>Experience with core AWS technologies such as VPC, EC2, ALB, ASG, Spot Instances </li><li>Experience in operating or managing Infrastructure such as Spark, Presto, Hive</li><li>Experience working with Docker, Kubernetes, and Infrastructure as code (eg terraform); especially for running GPU workloads</li><li>Experience with compliance programs such as SOC2, ISO27001, FedRAMP, HIPAA, PCI or operating within a compliance driven environment.</li><li>2+ years experience leading and growing successful backend, data, or infrastructure teams</li><li>Experience managing teams up to 10-30 people</li><li>Experience in operational product focused companies</li>

Engineering Manager - Infrastructure Engineering

<div>Our ML engineering team is growing rapidly, and we're looking for an ML Engineering Manager to help us grow responsibly from both technical and people-related standpoints. In this role, you'll be given the opportunity to have a large amount of impact and autonomy. Ideally, you'll be able to grow as our company grows and be afforded the opportunity to lead larger teams as we scale.&nbsp;</div><div><br></div><div>You will:</div><div><br></div><div>* Be responsible for growing and developing a team of talented and motivated engineers with high expectations around individual ownership and impact</div><div>* Set the direction of your team; anticipate strategic and scaling-related challenges via thoughtful planning, both from a personnel and technical standpoint</div><div>* Foster a collaborative, ambitious, and outcome-driven culture that embodies our values</div><div>* Work hands on with the engineers to design new solutions and take on technical problems yourself</div><div>* Partner with our People team to attract and engage top talent</div><div>* Use your strong technical background to discuss and guide on complex problems</div><div><br></div><div>Nice to haves:</div><div><br></div><div>* Prior startup experience to help us grow responsibly</div><div>* Experience at other API technology companies</div><div>* PhD/MS or published academic Machine Learning experience</div><div>* Experience with production ML systems</div><div>* Experience managing teams up to 10-30 people</div><div>* Experience in operational companies</div><div><br></div>

Our ML engineering team is growing rapidly, and we're looking for an ML Engineering Manager to help us grow responsibly from both technical and people-related standpoints. In this role, you'll be given the opportunity to have a large amount of impact and autonomy. Ideally, you'll be able to grow as our company grows and be afforded the opportunity to lead larger teams as we scale. 

You will:

* Be responsible for growing and developing a team of talented and motivated engineers with high expectations around individual ownership and impact
* Set the direction of your team; anticipate strategic and scaling-related challenges via thoughtful planning, both from a personnel and technical standpoint
* Foster a collaborative, ambitious, and outcome-driven culture that embodies our values
* Work hands on with the engineers to design new solutions and take on technical problems yourself
* Partner with our People team to attract and engage top talent
* Use your strong technical background to discuss and guide on complex problems

Nice to haves:

* Prior startup experience to help us grow responsibly
* Experience at other API technology companies
* PhD/MS or published academic Machine Learning experience
* Experience with production ML systems
* Experience managing teams up to 10-30 people
* Experience in operational companies



<div>We are building the Strategic Finance team to help make data-driven and financially sound decisions for Scale. The Strategic Finance team is responsible for improving strategic, financial and operational decisions by partnering with the leadership team in making critical decisions across Scale. </div><div><br></div><div> We are looking for analytical, driven individuals to join our Strategic Finance team. The team is responsible for owning the company’s budget, help drive quarterly and annual planning processes, allocating and deploying company’s resources efficiently, and performing financial analyses in partnership with all departments across the company. You will have a unique opportunity to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across Scale. The ideal candidate will not only have the technical skills to support their recommendations, but also strong interpersonal skills to manage various stakeholders. We hope you'll join us!</div>

We are building the Strategic Finance team to help make data-driven and financially sound decisions for Scale. The Strategic Finance team is responsible for improving strategic, financial and operational decisions by partnering with the leadership team in making critical decisions across Scale. 

 We are looking for analytical, driven individuals to join our Strategic Finance team. The team is responsible for owning the company’s budget, help drive quarterly and annual planning processes, allocating and deploying company’s resources efficiently, and performing financial analyses in partnership with all departments across the company. You will have a unique opportunity to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across Scale. The ideal candidate will not only have the technical skills to support their recommendations, but also strong interpersonal skills to manage various stakeholders. We hope you'll join us!


<li>Lead the budgeting, financial forecasting, and operating planning processes at Scale in partnership with the Head of Strategic Finance</li><li>Own and evolve revenue model to include tracking for company’s KPIs and drivers in partnership with the Go-To-Market teams</li><li>Complete key business analysis projects that have financial benefits to Scale, such as customer lifetime value (LTV), customer acquisition cost (CAC) and payback period across multiple product investments</li><li>Partner closely with the accounting team during the month-end close process to ensure accurate general ledger and company-wide financial statement reporting</li><li>Perform a weekly and monthly performance review of Scale’s financial statements by analyzing variances to operating plan</li><li>Help grow the team’s impact by partnering with Scale’s department heads to respond to internal customer needs</li><div><br></div>

<li>5+ years of financial analysis experience working directly in a Corporate Finance and FP&amp;A role</li><li>Experience working with Sales, Marketing and Sales Operations teams</li><li>Demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement</li><li>Strong knowledge of Google Suite, MS Office (Excel, Word, PowerPoint); expert Excel modeling skills&nbsp;</li>

<li>A Bachelor’s degree with a major in finance and/or accounting</li><li>Experience in SQL and Business Intelligence tools a plus</li><li>2 years of experience in a highly strategic, analytical and operational role within a rapidly growing company</li><li>Experience in banking</li>

<div>Scale is looking for a Sr Security Engineer to establish our security engineering function. You will be responsible for all aspects of security at Scale to keep our employees and infrastructure protected against threats. Ideal candidates have led security efforts in early-stage companies in the past. You will have a broad mandate and will be expected to drive change and be an evangelist of security throughout the company.  This means working at all levels of system building: network, infrastructure, application, phishing, fraud prevention, compliance, and everything in between.</div>

Scale is looking for a Sr Security Engineer to establish our security engineering function. You will be responsible for all aspects of security at Scale to keep our employees and infrastructure protected against threats. Ideal candidates have led security efforts in early-stage companies in the past. You will have a broad mandate and will be expected to drive change and be an evangelist of security throughout the company.  This means working at all levels of system building: network, infrastructure, application, phishing, fraud prevention, compliance, and everything in between.


<li>Propose, design, build, and deploy security improvements across all aspects of Scale’s infrastructure and product surface. </li><li>Build and monitor integrations between security solutions and ensure the completeness and accuracy of ingested data.</li><li>Identify opportunities for implementing additional technology controls to build more visibility or defend key points of attack.</li><li>Work with our advisors and third party vendors and auditors on pen test, security report and compliance projects.&nbsp;</li>

<li>4+ years of experience in a similar role</li><li>Expert understanding of system, network, infrastructure and security concepts.</li><li>Experience securing SaaS, PaaS, and IaaS cloud environments.</li><li>Familiar with Javascript, Node, Python, Linux, and AWS — or comparable technologies — and are able to think through the security implications of systems built using them.</li><li>Expert level of knowledge of network security monitoring (NSM) techniques.</li>

<div>Our engineering team is growing rapidly, and we're looking for engineering managers to help us grow responsibly from both technical and people-related standpoints. In this role, you'll be given the opportunity to have a large amount of impact and autonomy. Ideally, you'll be able to grow as our company grows and be afforded the opportunity to lead larger teams as we scale. You could serve as a leader across a variety of disciplines, including but not limited to machine learning, frontend, backend, and DevOps.</div>

Our engineering team is growing rapidly, and we're looking for engineering managers to help us grow responsibly from both technical and people-related standpoints. In this role, you'll be given the opportunity to have a large amount of impact and autonomy. Ideally, you'll be able to grow as our company grows and be afforded the opportunity to lead larger teams as we scale. You could serve as a leader across a variety of disciplines, including but not limited to machine learning, frontend, backend, and DevOps.


<li>Be responsible for growing and developing a team of talented and motivated engineers with high expectations around individual ownership and impact </li><li>Set the direction of your team; anticipate strategic and scaling-related challenges via thoughtful planning, both from a personnel and technical standpoint</li><li>Foster a collaborative, ambitious, and outcome-driven culture that embodies our values.</li><li>Partner with our People team to attract and engage top talent</li><li>Use your strong technical background to discuss and guide on complex problems</li><li>Use prior startup experience to help us grow responsibly </li>

<li>Experience in crowdsourcing</li><li>Experience at other API technology companies</li><li>Engineering or academic experience in machine learning and systems design</li>

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