Fullstack Software Engineer, Machine Learning Platform, AI Infrastructure
7 days ago
What To ExpectAs a Software Engineer within the Autopilot AI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components supporting AI research activities for Autopilot and the Optimus.At the core of our autonomy capabilities are neural networks that the research team is designing to train on very large amounts of data, across large-scale GPU clusters and our supercomputer Dojo. Robustly training these models at scale and in the shortest amount of time is critical to our mission.We are building out the Machine Learning Platform that our engineers and leadership use to schedule, manage and monitor machine learning experiments, data pipelines and artifacts.What You'll Do- Architect and implement scalable, user-friendly tools for AI workflows to track and visualize the lifecycle of machine learning experiments and models- Build robust tools and infrastructure to improve the machine learning team's velocity. This includes training and evaluation code in Python to back-end and front-end work in JavaScript- Collaborate closely with ML engineers to ensure tools are aligned with research needs- Design dashboards to provide real-time insights into performance and progress for our ML engineers and leadership- Coordinate required hardware resources with the team managing the cluster hardware to maintain high availabilityWhat You'll Bring- Strong knowledge of Python, React, and Linux- Experience working with backend infrastructure components (relational databases, in-memory caches, message brokers)- Experience building modern web applications using Flask/Django and React/Redux or similar component-based libraries- Experience deploying services on Kubernetes and setting up CI/CD flows- Solid understanding of security principles and best practices- UI and graphic design sensibilities- Experience working with HPC clusters- Knowledge of machine learning, computer vision, or neural networksBenefitsCompensation and BenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation$132,000 - $390,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment., Tesla
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Senior Machine Learning Engineer
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Palo Alto, California, United States JPMorganChase Full timeJOB DESCRIPTIONAs a Software Engineer III/ML Engineer, you have an opportunity to be part of team to build, launch and scale an AI/ML platform for the firmAs a Software Engineer III/ML Engineer, you have the chance to shape the future of AI/ML at a global financial services leader. Join our AIML Technology team to build and scale advanced machine learning...
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Chief Machine Learning Engineer
2 hours ago
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Machine Learning Engineer
7 days ago
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Palo Alto, California, United States Amazon Full timeDESCRIPTIONAbout Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences,...
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Palo Alto, California, United States Hippocratic AI Full time $125,000 - $175,000 per yearAbout UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why...
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Palo Alto, California, United States Woven by Toyota Full timeWoven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what "mobility" means and how it serves society.Our work centers on four pillars: AD/ADAS, our...
