Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team.
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems
Design, run, and iterate on machine learning experiments to improve model quality and product impact
Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems
Analyze model errors and failure modes to understand limitations, biases, and opportunities for improvement.

Requirements

2+ years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research.
Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis
Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems
Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems
You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength.
Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)
Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve
You are a team-player, self-learner and autonomous
MS, PhD, or equivalent practical experience in machine learning, data science, or a related technical field.

Benefits

Flexible paid time off that allows you to have an enhanced work-life balance.
Excellent medical, dental, and vision options
401(k) matching, life insurance, commuter benefits, and parental leave plans
Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
Energetic work environment with a hybrid work style, providing the balance you need.
Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningfeature engineeringmodel selectiontrainingvalidationerror analysisPythonRustScalaJava

Soft Skills

team playerself-learnerautonomouscollaborationproblem solvingcommunicationadaptabilitymotivationcritical thinkingcreativity

Certifications

MS in machine learningPhD in machine learningequivalent practical experience in data science