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ExperiencedAIRobotics

Senior Perception Learning Engineer

Apptronik · Sunnyvale, CA

Posted Oct 15, 2026

Est. total comp~$207K–$341K

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From the posting

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.

We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

You will drive research and development of advanced perception systems that empower Apptronik’s humanoid robots to understand and interact with complex human environments. Your work will focus heavily on SLAM, visual-inertial odometry, world modeling, and learning-based perception, alongside object detection and multi-sensor fusion, creating the foundation for robust autonomy in real-world settings.

You will design and optimize deep learning models for real-time detection, tracking, segmentation, scene understanding, and state estimation while contributing to scalable pipelines for training, evaluation, and deployment. …

Excerpt from Apptronik's public job board. Read the full posting.

Job inventory

Required 9 items

Education: PhD

Skills and tools: Python, C++, Computer vision, Deep learning, PyTorch, TensorFlow, Embedded, Robotics

Preferred 1 item

  • ROS

Skills and tools: ROS

We have not read this posting carefully yet, so it cannot show as Mission Ready. These items come from a keyword scan.

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About this listing. Pulled automatically from Apptronik's public job board and refreshed daily; closed roles are removed. Mars Mining Co. is not the employer, does not take applications and does not screen candidates. Field and level labels come from the job title and can be wrong.

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About the pay figures (~): These are estimates. Yearly figures are estimated total comp ranges: the employer's posted pay range, or, with no posted pay, the median to 90th-percentile BLS wage for similar jobs, plus typical benefits and bonus, without stock. Hourly figures for internships and contract roles are posted rates or BLS hourly wage ranges. Figures outside the U.S. and for loosely matched titles are rough ballparks. How we estimate