Senior Machine Learning Engineer - Perception in San Jose, California at Bonsai Robotics

About Bonsai Robotics

Bonsai Robotics develops affordable, vision-based autonomy that makes off-road equipment smarter, safer, and more productive. We are redefining outdoor autonomy with Bonsai Intelligence, a connected platform that’s inspired by biology to see, think, and act with precision like a human. We bring together advanced perception, embodied AI, integrations with equipment manufacturers, and our compact, modular Amiga vehicles to deliver reliable automation to the world’s most demanding field operations—reducing costs and increasing operational efficiencies.

About the role

We are seeking a highly skilled Sr. CV Engineer to join our team. As a CV Engineer, you will develop, implement, and optimize our custom CVML algorithms for our robotics systems. You should have a strong background in any of the following technologies: ML modeling (preferably object detection & segmentation), classical CV algorithms and multi-view geometry. The ideal candidate will be proficient in programming languages such as C++ and Python.

What you'll do

• Develop, implement, and optimize CV/ML algorithms for robotics systems
• Train, test and deploy custom ML models on embedded systems
• Collaborate with cross-functional teams to integrate models and algorithms technology into our products.
• Stay up to date with latest research in computer vision and devise custom algorithms
• Create and maintain code documentation and unit tests

Qualifications

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering or related field
• Strong background in most of the following technologies: ML modeling (preferably object detection & segmentation), classical CV algorithms and multiview geometry
• Experience with training multi-head DL architectures
• Familiarity with all DL architectures related to 3D vision
• Developing scalable training pipelines in the cloud
• Proficient in Pytorch
• Strong foundations in multi-view geometry
• Proficiency in programming languages such as C++ and Python
• Bonus: Experience with ROS 2, TensorRT
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Strong verbal and written communication skills.

Life at Bonsai Robotics

At Bonsai, we're building the future of robotics and we know that means investing in our people. We're committed to creating a workplace where you can do your best work, grow your skills, and feel genuinely part of something bigger.

Hybrid Flexibility (for selective roles)

We operate on a hybrid model because we believe the best collaboration happens both in person and from where you work best. You'll have the flexibility to split your time between our office and home, so you can stay connected to the team while maintaining the balance that works for you.

Work-life Balance

The best employees are those who create balance in their lives, which is why we prioritize balance and well-being for everyone at Bonsai. We foster a supportive environment where teammates look out for each other.

Covered Lunch

On in-office days, we've got lunch covered. It's a small thing that makes a big difference, with more time to connect with teammates and less to worry about.

Wellness and Benefits

Your health matters. We offer comprehensive health insurance (medical, dental, vision), mental health support, and wellness programs designed to help you thrive both physically and mentally.

Collaborative Culture

At Bonsai, you're not just part of a team, you're part of a community. We celebrate wins together, support each other through challenges, and genuinely enjoy the people we work with. From team events to cross-functional collaboration, we're building something together.

Mission-driven Work

Every day, you're contributing to advancements in robotics that matter. If you're excited about innovation and impact, you'll find it here.

Bonsai Robotics is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status or any other category protected by law.