Senior Machine Learning Engineer
Seattle, Washington, United States
R
USD 150K-241K Senior-level Full Time
Tasks
- Architect train evaluate deploy and monitor ML models
- Bridge edge and cloud ML constraints
- Build reusable ML platforms and developer tooling
- Develop model training and fine tuning pipelines
- Establish ML engineering best practices for testing observability and reproducibility
- Evaluate and operate large generative AI models
- Implement secure and privacy preserving AI systems
- Optimize inference for performance and latency
- Own technical problems end-to-end
- Prototype AI proof-of-concepts
- Translate research into production ML systems
- Turn emerging AI research into products
Perks/Benefits
- Discretionary paid time off
- Emotional and mental wellness support
- Employer 401k match
- Fitness programs
- Learning and development programs
- Medical, dental, vision plans
- Paid parental leave
- Snacks
Skills/Tech-stack
C++ | Cloud Architecture | Computer Vision | Data Pipelines | Fine Tuning | Generative AI | Inference Optimization | Infrastructure as Code | Knowledge Distillation | Language Processing | Large Language Model | Large Language Model Ops | Linux | Machine Learning | Model Evaluation | Model Monitoring | Model Ops | Natural Language | Natural Language Processing | Privacy-preserving | Privacy-preserving machine learning | Production Machine Learning | PyTorch | Python | Quantization | Responsible AI | Scalable evaluation | Security | Speech Recognition | TensorFlow | “as-code”
Education
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