Responsibilities
Design and implement ML pipelines for training, evaluation, and deployment.
Integrate ML models into ROS2-based robotic systems using Python and C++.
Collaborate with ML engineers, robotics teams, and product stakeholders.
Evaluate model performance and develop monitoring systems.
Improve ML infrastructure and engineering best practices.
Support data engineering tasks including dataset management and synthetic data generation.
Build user-facing tools to simplify AI deployment in robotics workflows.
- All About You
- We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.
Required Qualifications
BS or MS in Computer Science, Software Engineering, or related field.
3–6 years of experience in software development with ML applications.
Strong programming skills in Python; familiarity with C++.
Experience with PyTorch or similar ML frameworks.
Understanding of ML concepts and evaluation methodologies.
Experience with ROS2 and robotic systems is a plus.
Strong collaboration and communication skills.
Preferred Qualifications
Experience in robotics, industrial automation, or manufacturing.
Background in computer vision for robotics (e.g., object detection, segmentation).
Familiarity with MLOps tools and practices.
Exposure to reinforcement learning, anomaly detection, or VLA models.
Experience with interpretability techniques (e.g., SHAP, LIME).
Demonstrated ability to stay current with AI/ML research and apply it in practice.
We are only considering candidates local to position location and are unable to provide relocation for this position.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
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