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aws python gcp tensorflow pytorch📋 Description
- Define Technical Strategy & Roadmaps for core ML systems.
- Architect system-level solutions for data mining and real-time inference.
- Drive cross-functional execution across teams.
- Elevate ML engineering standards and deployment practices.
- Operate as a generalist expert across ML techniques.
- Mentor engineers; lead architectural reviews.
🎯 Requirements
- BS in Computer Science, ML, or related field (or equivalent experience)
- 8+ years of hands-on ML engineering with architecture ownership
- Experience with multimodal foundation models in production systems
- Technical leadership: roadmaps, multi-person initiatives, strategy
- Expert Python and ML frameworks (PyTorch, TF, or JAX) with strong software fundamentals
- Broad ML generalist knowledge: training, DL architectures, evaluation, deployment
- Cloud deployment experience (AWS/GCP/Azure) optimizing latency and throughput
- Mentor peers and explain trade-offs to leadership; drive consensus
🎁 Benefits
- Hybrid schedule with in-office time in Boston/Pittsburgh/Las Vegas; remote possible.
- Benefits include medical, dental, vision, 401k with match, HSA, and more.
- Inclusive culture and opportunities to scale ML platforms.
- Remote-friendly and distributed work environment.
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