Job Title: Machine Learning Engineer, Intelligent Scheduling Systems at Tesla Tesla is seeking a Machine Learning Engineer to join our cross-functional team focused on building and scaling intelligent scheduling systems that enhance service operations globally. The role involves solving complex problems such as vehicle routing, resource allocation, demand forecasting, and operational optimization. Responsibilities include: Designing, building, and maintaining production-grade AI-powered scheduling systems. Managing the full lifecycle of ML models from exploration to deployment and monitoring. Developing workflows that leverage AI for decision-making and automation. Implementing prompt engineering and orchestration techniques to optimize system performance. Conducting exploratory data analysis to inform modeling and product decisions. Contributing to system architecture, especially where AI and operational scale intersect. Collaborating cross-functionally to align solutions with operational needs and user impact. Applying best practices in software engineering, including version control, testing, CI/CD, and containerization. Qualifications: Degree in Computer Science, AI, Data Science, Operations Research, or related fields; MS/PhD preferred. 2-4 years of experience with ML models and data pipelines in production. Experience with large language models, AI agents, prompt engineering, and platforms like OpenAI, HuggingFace, LangChain, LlamaIndex. Strong foundation in statistics, probability, ML, and optimization. Proficiency in Python and data tools such as SQL, pandas, numpy, Jupyter. Familiarity or willingness to learn Golang. Experience delivering data-driven projects from inception to deployment. Excellent communication and collaboration skills. Proactive mindset, comfortable with ambiguity and ownership. Benefits: As a full-time Tesla employee, you are eligible for benefits from day one, including health plans, family-building benefits, dental and vision coverage, HSA contributions, flexible spending accounts, 401(k) with employer match, stock purchase plans, insurance, employee assistance, paid time off, childcare resources, voluntary benefits, wellness programs, and employee discounts. Compensation: $133,440 - $200,160 annually plus cash and stock awards and benefits. Compensation may vary based on experience and location. Additional Details: Seniority Level: Entry level Employment Type: Full-time Job Function: Engineering and IT Industries: Automotive, Renewable Energy, Semiconductor, Utilities Referrals can increase your chances of interviewing at Tesla. Sign in to set job alerts for “Machine Learning Engineer” roles in various locations. #J-18808-Ljbffr Tesla
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