Staff ML Engineer (Robotics)
Full Time
full time
3 Oct 2025
Verified by Turrior
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
90 / 100
Offer value
Exceptional opportunity to lead ML advancements in robotics, offering a robust compensation and highly innovative work environment.
- Competitive compensation for advanced ML engineering role
- Opportunity to lead innovations in robotics
- Strong remote work flexibility and collaborative culture
- Requires substantial experience and skill in ML and robotics
Pros
- Leading-edge role in robotics and machine learning space
- Highly competitive salary and strong benefits
- Influence over long-term ML architecture and innovations
Cons
- Strict experience requirements (8+ years in ML and robotics)
- Complexity and responsibility may lead to higher stress
- Potential for high expectations in terms of innovation pace
Who it's for
Senior to Expert • Remote
Good fit
- Senior ML engineers with a robotics focus
- Candidates eager to impact future healthcare technology
- Individuals with strong skills in software integration for robotics
Not recommended for
- Junior engineers without extensive experience
- Candidates not open to remote work
- Those seeking roles without technical depth
Motivation fit
Desire to innovate and lead in robotics technologyInterest in applying ML to real-world applicationsKeen to be part of a mission-driven technology team
Key skills
Machine learning and deep learning expertiseRobotics perception and navigationSoftware engineering skills in Python and C++
Score: 90/100 AI verified analysis
About the job
Requirements
- Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field ,
- 8+ years of experience in applied machine learning, computer vision, or robotics perception ,
- Strong background in deep learning frameworks (PyTorch, TensorFlow, JAX) ,
- Hands-on experience with real-time perception/navigation tasks (detection, tracking, segmentation,path planning) ,
- Expertise in one or more sensor modalities: RGB/depth cameras, LIDAR, radar, or multimodal fusion ,
- Experience deploying ML models on edge/embedded hardware (e.g., Jetson, TPU, ARM-based platforms) ,
- Familiarity with SLAM, mapping, and navigation pipelines ,
- Solid software engineering skills in Python and C++ for ML system integration ,
- Proven ability to take ML models from research prototype to production deployment ,
- Strong debugging skills for diagnosing ML performance gaps in fielded systems
What the job involves
- As a Staff ML Engineer, Perception / Robotics, you will develop, deploy, and optimize machine learning models that enable robots to understand and navigate complex human environments ,
- You will lead the design of ML systems, from sensor fusion to real-time inference, ensuring robustness in safety-critical, real-world deployments ,
- Develop and deploy ML models for perception/navigation tasks such as object detection, semantic segmentation, tracking, scene understanding, localization, and path prediction ,
- Design and implement sensor fusion and mapping pipelines combining vision, depth, LIDAR, IMU, and other signals for robust perception and navigation in dynamic spaces ,
- Build real-time ML inference pipelines optimized for robotic hardware and embedded compute ,
- Setup data collection, labeling strategies, dataset curation, and synthetic data augmentation for training and evaluation ,
- Establish metrics, benchmarks, and test frameworks to validate ML models in both simulation and real-world environments ,
- Collaborate with robotics software engineers to integrate perception and navigation intelligence into autonomy stacks ,
- Work with operations to analyze field data, diagnose performance gaps, and iterate on model improvements ,
- Contribute to long-term ML and perception and navigation architecture decisions, influencing the roadmap for future robots ,
- Mentor junior ML engineers and contribute to building strong applied ML best practices within the team
Benefits
- A collaborative and mission-driven team working on challenging problems that promise to radically change the future of healthcare ,
- Competitive health plan coverage for individuals and dependents ,
- Experience working with some of the leading experts in human-robot interaction ,
- A positive and supportive working environment in Austin, TX
