Machine Learning Engineer, Physical AI
Encord
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Tech Stack
About the role
- Experiment with and adapt latest ML technologies to fit into existing tech stack
- Solve idiosyncratic statistical, geometric, and engineering problems
- Work closely with a full stack tech team to assist implementation of research solutions into the product
- Contribute to hiring additional talent to our rapidly growing team
Requirements
- Passion for solving ML problems
- Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai, and Keras
- Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning
Benefits
- Competitive salary and equity in a hyper growth startup.
- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.
- Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach.
- Flexible PTO to recharge.
- Annual learning and development budget.
- 18 paid vacation days + federal holidays.
- Lots of opportunities for travel (all around the US, to London & Europe).
- Bi-annual off-sites and monthly socials.
- Health, dental and vision insurance.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningOpenCVPyTorchTensorFlowFast.aiKerasmathematical programmingalgorithmic problem solvingapplied machine learning
Soft Skills
problem solvingteam collaborationtalent acquisition