<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>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>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>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 looking for a strong candidate to be a part of our Platform Engineering team. This candidate will have experience managing systems at scale and be passionate about reliability, resiliency, and scalability. This candidate would have a background managing systems at scale in the cloud, preferably AWS.&nbsp;</div>

Scale is looking for a strong candidate to be a part of our Platform Engineering team. This candidate will have experience managing systems at scale and be passionate about reliability, resiliency, and scalability. This candidate would have a background managing systems at scale in the cloud, preferably AWS. 


<li>Collaborate with software engineering teams to develop, deploy and operate our systems.</li><li>Continually improve the reliability of systems across the company</li><li>Champion the concepts of observability, Infrastructure as Code, and stateless applications throughout the organization</li><li>Ensure high availability across all services with well-exercised disaster recovery plans</li>

<li>3+ years experience in DevOps or SRE</li><li>Experience using Amazon Web Services, Kubernetes, Terraform, MongoDB, PostgreSQL</li><li>Comfortable working with CI/CD and monitoring tools like CircleCI, Datadog, NewRelic, Pagerduty</li><li>Hands-on coding ability, familiar with Javascript, Typescript, Node, Python — or comparable technologies</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>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>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>As a member of our operations team, you'll be accountable for driving revenue by ensuring that our taskers meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. </div><div><br></div><div> You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.</div><div><br></div><div>The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results.&nbsp;</div>

As a member of our operations team, you'll be accountable for driving revenue by ensuring that our taskers meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. 

 You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.

The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results. 


<li>Build and drive some of our most critical operational processes: the delivery of SLAs for our customers</li><li>Own the day-to-day delivery of customer commitments</li><li>Create an effective feedback loop between the front line, product, strategy, and customers</li><li>Collaborate with stakeholders to improve processes for new and existing customers&nbsp;</li>

<li>2+ years of industry experience in an operational role and/or 2+ years in a top-tier consulting firm</li><li>An undergraduate degree with an analytics heavy major (e.g., Engineering, Math or Economics) and/or a graduate degree in Engineering, Economics, or Business</li><li>An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results</li><li>Analytical, planning, and process improvement capability</li>

<li>Experience with reading SQL and/or another database language</li><li>Experience with Python and/or Mode Notepad scripting</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>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>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>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. 


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