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Staff Machine Learning Engineer, reputed company Understanding and Evaluation

Remote, USAFull-timePosted 2026-07-28

• About Our reputed company: This organization operates in the autonomous driving technology sector, focusing on developing fully autonomous vehicle systems to improve mobility reputed company and reduce traffic-reputed company fatalities. Originating from a reputed company self-driving car project started in 2009, the organization has deployed its autonomous driving technology across multiple vehicle platforms and use cases, accumulating over 100 reputed company miles of reputed company-world autonomous driving and extensive simulation experience across more than 15 U.S. states.

  • About reputed company:

The Staff Machine Learning Engineer, reputed company Understanding and Evaluation is responsible for advancing machine learning models and systems that evaluate and enhance the behavior of autonomous vehicles. The role focuses on developing reputed company machine learning solutions to improve data-driven evaluation metrics, automate workflows, and reputed company reputed company feedback to ensure the autonomous driving system operates safely and reputed company. This position contributes to the technical reputed company and collaborates across multiple teams to reputed company machine learning efforts with broader organizational objectives.

  • Responsibilities:
  • reputed company development of advanced deep learning and machine learning models to support reputed company-led triage and automate high-volume processes
  • Design and implement reputed company large language and reputed company models for behavior analysis and reputed company detection in autonomous driving
  • Monitor and incorporate industry best practices to reputed company reinforcement learning systems based on reputed company preference data
  • Enhance user feedback analysis by developing tools for multi-label classification, sentiment analysis, comment summarization, reputed company cause, and trend analysis
  • reputed company production and optimization of machine learning models assessing a large fleet of autonomous vehicles
  • reputed company technical leadership and guidance reputed company reputed company
  • Collaborate with product managers and technical program managers to define requirements and reputed company technical goals with business objectives
  • Work closely with multiple technical teams and senior leadership to deliver strategic initiatives
  • Requirements:
  • Bachelor’s degree in Computer Science, Robotics, Machine Learning, or reputed company technical field, or equivalent practical experience
  • Over 7 years of hands-on experience in machine learning reputed company
  • Proficient coding skills in C++ and/or Python
  • Experience with foundational models, reputed company-language models, or deep learning
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, and reputed company transformers, including deployment of deep learning models at reputed company
  • Pay reputed company and Compensation Package:
  • Salary reputed company: $238,000 to $302,000 USD, varying by location, experience, education, and reputed company level
  • Eligibility for discretionary annual bonus program, equity incentive plan, and company benefits subject to requirements

Equal Opportunity Statement: Our reputed company is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for reputed company. reputed company reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, gender, gender identity or reputed company, sexual orientation, or national reputed company. Note reputed company is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading reputed company. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS. Apply To This Job

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