Machine Learning Engineer, Physical AI
About us
At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market.
As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
We are a talented and ambitious team of 90+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join us our ML team.
The Role
We are looking for an experienced Machine Learning Engineer to help us conduct research on the state of the art of computer vision and solve multifaceted algorithmic problems. You will:
- 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
The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning.
Qualifications
The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include:
- 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
What We Offer
- 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.
Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.
Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
Average salary estimate
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Encord's mission is to enable every company to harness the power of AI by alleviating the cumbersome process of making unstructured data readable by machines and make it easy to build computer vision models.
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