about 3 hours ago
Seattle, WA, USA
Senior / Staff+
H1B Sponsor
Base Salary
$160k - $256k/yr
Responsibilities
- Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products.
- Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making.
- Develop and deploy models across cloud and edge environments, including resource-constrained devices.
- Architect and optimize full-stack AI pipelines.
- Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems.
- Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems.
- Optimize solutions for hardware-specific acceleration and edge deployment.
- Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety.
- Lead technical direction for complex, ambiguous problems and influence system architecture across teams.
- Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy.
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering, or related field.
- 8+ years (L8) or 10+ years (L9) of industry experience building production systems.
- Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow).
- Proven experience delivering end-to-end systems from concept to production.
- Deep expertise in building and scaling distributed systems or cloud-based ML pipelines.
- Experience optimizing models for latency, cost, and deployment constraints.
Benefits
- Competitive salary and 401k with employer match.
- Discretionary paid time off.
- Paid parental leave for all.
- Medical, Dental, Vision plans.
- Fitness Programs.
- Emotional & Mental Wellness support.
- Learning & Development programs.
- Snacks in the offices.
Tech Stack
AWSC++PythonPyTorchTensorFlow
Categories
AI & MLData EngineeringFull Stack