You will:

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

Ideally you’d have:

• Degree in computer science, or related field
• US citizenship and US Government Security Clearance is a requirement
• Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment
• Solid background in algorithms, data structures, and object-oriented programming
• Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch

Nice to haves:

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

The base salary range for this full-time position in our hub locations of San Francisco, New York, Seattle or Washington, DC, is $200,800.00 - $251,000.00. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.”