Related skills
cloud python tensorflow pytorch ci/cd📋 Description
- Define technical strategy and multi-quarter roadmaps for ML systems.
- Architect system-level ML solutions for large-scale data mining and real-time inference.
- Drive cross-functional execution and align partner roadmaps across teams.
- Elevate engineering standards for ML design, testing, and deployment.
- Apply broad ML toolkit to solve complex, ambiguous problems and unblock teams.
- Mentor engineers, lead architectural reviews, and raise Motional’s engineering culture.
🎯 Requirements
- BS in CS/ML or equivalent practical experience.
- 8+ years hands-on ML engineering, owning architecture and deployment.
- Experience deploying multimodal foundation models in production across modalities.
- Proven technical leadership: roadmaps, multi-person initiatives, strategy.
- Python and ML frameworks (PyTorch, TensorFlow, or JAX); CI/CD and containerization.
- Cloud deployment: AWS, GCP, or Azure; optimize latency and throughput.
- Mentor peers and drive consensus across teams.
🎁 Benefits
- Hybrid schedule with in-office time at Boston, Pittsburgh, or Las Vegas; or remote.
- Motional is an EOE; participates in E-Verify.
- Benefits include medical, dental, vision, 401k with company match, HSA, life, pet insurance.
- Diverse, inclusive culture focused on collaboration and impact.
- Opportunity to work on industry-leading autonomous driving tech and ML platforms.
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