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Engineer (early career)
Career Insights for Machine Learning Engineer
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$168,439 / year median in California
Job Description
Engineer (early career) at StaffGreat.com Engineer (early career) at StaffGreat.com in San Leandro, California Posted in about 6 hours ago.
Type:
full-time Our client is a fast-moving startup doing ambitious work in AI. They're hiring early-career engineers with raw ability rather than domain experience.
The role is deliberately broad:
machine learning, geometry, graphics, and AI, spanning geometry and data pipelines, evaluation harnesses, internal tooling, and training and experiment support. They want real strength in one of those areas and curiosity about the rest. What will you be doing? Build and maintain geometry and data pipelines. Parse CAD, convert formats, extract features, and verify that what comes out matches what went in. Write the evaluation harnesses and tooling that tell the team whether a model actually got better. Support training and experiment runs. Instrument them, debug failures, and turn results into something readable at a glance. Build internal tools that remove friction for everyone else. Take well-scoped pieces of larger research and engineering efforts, then grow your scope as you earn it. Dealbreaker Work experience Experience with ML training, data pipelines, or internal tooling Internships or research at organizations with a high hiring bar: top aerospace, automotive, or robotics companies, leading AI research labs, or major tech companies, or a lab affiliation Education BS or MS in CS, engineering, math, physics, or a related technical field, from a highly competitive, top-tier program Hard skills Proficient in Python and/or C/C++ Baseline Seniority 0-2 years of experience (ONLY) in software engineering, including internships and research Miscellaneous Willing to start as a generalist before specializing Nice-to-have Hard skills Exposure to one of four adjacent domains: CAD, robotics, perception, or graphics and game design. Coursework or projects count; depth is not expected.