Staff Applied Research Scientist, Perception

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Join Cruise: Pioneering the Future of Self-Driving Cars

Welcome to Cruise, where we're shaping the future of urban mobility with our advanced self-driving services. Our mission is to create autonomous vehicles that safely connect people to their destinations, enhancing the quality of urban living.

Why Cruise?

At Cruise, our culture is built on the diverse experiences and contributions of our team. We believe in fostering an inclusive environment where everyone can thrive and achieve their best work. Our commitment to diversity, equity, and inclusion extends beyond our workplace to our products, ensuring a positive impact on the world.

About the Role: Machine Learning Engineer in Perception

If you're passionate about revolutionizing the world with self-driving technology, we invite you to join us as a Machine Learning Engineer in Perception. In this role, you will develop innovative, long-term software solutions addressing complex urban challenges through applied ML, sensor research, and model development.

Key Responsibilities

  • Explore, prototype, validate, and iterate new algorithms from a research perspective.
  • Optimize, supervise, and refine on-road model performance from development to production.
  • Support hardware projects including sensitivity studies and architecture investigations.
  • Champion high-quality engineering, crafting solutions for the toughest challenges.

Required Qualifications

  • Strong understanding of computer vision and ML model development and training.
  • Experience with first principles analysis of perception models to support HW sensor development.
  • Capability to run and retrain machine learning models, evaluating performance using various metrics.
  • Independent and collaborative mindset to work across HW and perception teams.
  • Hands-on experience with sensor data and practical understanding of experimental data.
  • Basic knowledge of sensing physics and familiarity with different sensing modalities (lidar, cameras, radars, ultrasonic sensors).
  • Growing expertise with ML frameworks like Tensorflow, Caffe, and PyTorch.
  • Proficient programming skills in Python, C++, or similar languages.
  • Passion for self-driving car technology and its societal impact.

Bonus Points

  • PhD in machine learning or computer science.
  • Research experience in computational cameras, physics-based computer vision systems, or related fields.
  • 4+ years of industry experience in Machine Learning.
  • Experience with ROS, OpenCV, Gazebo, or PCL.
  • Proven track record in deploying perception algorithms in real-world environments.
  • Experience with autonomous driving technologies.

Compensation and Benefits

The salary range for this position is $183,600 - $270,000, with compensation varying based on location, knowledge, skills, and experience. We also offer a comprehensive benefits package, which includes:

  • Competitive salary and benefits
  • Medical, dental, and vision insurance
  • Life and AD&D insurance
  • Subsidized mental health benefits
  • Paid time off and holidays
  • Paid parental, medical, family care, and military leave
  • 401(k) Cruise matching program
  • Fertility benefits
  • Dependent Care Flexible Spending Account
  • Flexible Spending Account & Health Saving Account
  • Perks Wallet program for benefits and perks
  • Pre-tax commuter benefit plan for local employees
  • CruiseFlex, our location-flexible work policy

Integrated and Funded

Through our partnerships with General Motors and Honda, we're the only self-driving company with fully integrated manufacturing at scale. Additionally, investment from GM, Honda, Microsoft, T. Rowe Price, and Walmart underscores our technological advancement and vision, propelling us forward as a leading entity in the autonomous vehicle industry.

Equal Opportunity Employer

Cruise LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants of all backgrounds to apply and ensure no discrimination based on race, color, ethnicity, age, religion, gender, sexual