Lead ML Platform Software Engineer
Team: IT
Location: US
Commitment: Full-time
Workplace Type: remote
Accountabilities:
- Lead internal and external efforts to build, maintain, and enhance ML platforms and workflows.
- Introduce and customize automation in data extraction, labeling, and metrics pipelines.
- Develop infrastructure for training, validating, and deploying ML models in production environments.
- Design monitoring dashboards and analytics tools to track perception system performance.
- Ensure reproducibility, traceability, and observability across all ML workflows.
- Collaborate with cross-functional teams to define requirements, implement solutions, and support milestones for prototype and production systems.
- Strong proficiency in Python or C++, with experience in building ML platforms and pipelines.
- Hands-on experience with cloud-based ML workflow frameworks (e.g., Ray, Argo, Kubeflow).
- Leadership experience managing cross-functional teams and collaborative projects.
- Experience handling large multimodal datasets, data curation, and quality assurance.
- Self-starter capable of developing end-to-end solutions from high-level requirements.
- Strong problem-solving skills with customer-focused outcomes and excellent communication abilities.
- Desirable: 5+ years in modern C++ development, robotics or autonomous vehicle platforms, ML model deployment in production-grade systems, familiarity with Docker, Kubernetes, AWS, and 3D visualization tools for LiDAR data.
- π» Remote Work β Flexible work environment supporting productivity and autonomy.
- π° Competitive Salary β Commensurate with experience and market benchmarks.
- π₯ Comprehensive Health Coverage β Medical, dental, and vision insurance.
- π΄ Paid Time Off β Generous vacation, personal, and parental leave.
- π Professional Growth β Opportunities to work on cutting-edge autonomous mobility systems.
- π Access to Advanced Technology β Work with state-of-the-art ML, robotics, and perception tools.
- π¨βπ©βπ§βπ¦ Inclusive Culture β Supportive, collaborative, and diverse work environment.
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