Quantitative Researcher, Autonomous Car Startup

Who is Recruiting from Scratch : Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. About Our Client At our client, their mission is to make self-driving for everyone. They build autonomous driving software for automakers, based on a breakthrough in artificial intelligence that finally makes highway autonomy safe and scalable for the consumer car market. Our client has 100+ employees across its headquarters in Mountain View and additional offices in Dallas and Sydney. They have raised $165 million from investors including Mike Speiser at Sutter Hill Ventures, Keith Rabois at Founders Fund, and Vinod Khosla at Khosla Ventures. The Role As a Model Engineer at our client, you will be responsible for building and testing the models that literally drive our vehicles. Operating on the noisy data of a real-world environment, the problems you face will be complex and open-ended, and the solutions you create have the potential for enormous impact. With a proven founding team and compelling plan, our client knows where it is going - but how it gets there will be up to you. You likely have a PhD in Software, Physics, Electrical Engineering, or similar disciplines Professional experience working with real-world, physical data A track record of having shipped models and code into production Strong programming skills in object-oriented languages (functional programming is a plus), including ability to debug and optimize code Ability to fine tune GPT models Working knowledge of machine learning, data engineering, deep learning frameworks, and related testing techniques Base Salary Compensation for this role consists of a base salary and an options grant, with the base salary expected to range from $175,000 to $275,000+. Individual compensation will be commensurate with the candidate's experience.

Created: 2024-11-01