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Machine Learning Engineer
2 months ago
- We are backed by CRV, Y Combinator Continuity, the Harvard Management Company, top industry executives, and other leading Bay Area investors.
AI feels to us like what the early days of computing or the internet must have felt like, where the potential of the technology is clear, but the tools and processes surrounding it are terrible.
- We have devised a unique methodology for automating the tasks related to preparing quality training data, in effect turning the training data problem into a data science problem.
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
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, , and Keras
- Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning
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, and agriculture.
- We offer competitive compensation and equity options in the business for the right candidate.
- Software to help you safely develop, test, and deploy AI systems
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