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We’re looking for a Forward Deployed Engineer who is technical and excited to build AI and machine learning models and 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.
You will:
  • Solve hard problems and deploy solutions for our technical customers
  • Interact with customers on a day-to-day basis to understand their pain points and design solutions
  • Impact our product by integrating customer feedback directly to our product 
  • Build and contribute to our models as a service product as an early team member on this team
  • Work cross-functionally with Customer Operations and Engineering team while independently driving key initiatives
You’d have:
  • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
  • Experience working with technical and nontechnical cross-functional partners and clients
  • At least a Bachelor’s degree (or equivalent) in a relevant field
  • Proficiency in languages such as Javascript, Python, or similar languages
  • Strong problem-solving mindset and attitude to solve ambiguous challenges 
Nice to haves:
  • Experience in AI
  • Previous experience as a Forward Deployed Engineer

About Us:
At Scale, our mission is to accelerate the development of Machine Learning and AI applications across multiple markets. Our first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Our customers include Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more

Additional Information:
Scale is an equal opportunity employer. We aim for every person at Scale to feel like they matter, belong, and can be their authentic selves so they can do their best work. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.