Senior Staff Applied Scientist, AI/ML
Tasks
- Build production ready prototypes
- Collaborate with platform architects and MLOps
- Conduct architectural review for production readiness
- Define long-term technical strategy
- Define rigorous evaluation methodology
- Design and execute proof-of-concepts
- Develop and prototype scalable machine learning services
- Evaluate experiments and drive go no go decisions
- Mentor machine learning developers
- Resolve cross team technical impediments
- Review deployment risks and scalability issues
- Set standards for model reproducibility
- Set standards for model robustness
- Translate research challenges into machine learning solutions
Perks/Benefits
- Flexible vacation
- Flexible work options
- Hackathons
- Mentorship programs
- Recognition programs
- Referral rewards
- Training and career development
- Virtual fitness classes
- Well-being programs
Skills/Tech-stack
AWS | Azure | Bayesian Methods | Deep learning | Distributed Computing | Docker | Embeddings | GCP | Generative Models | Knowledge Distillation | Kubernetes | Language Models | Language Processing | Large Language Models | Linear Algebra | Linux | MLOps | Machine Learning | Model Explainability | Natural Language | Natural Language Processing | Optimization | Pandas | Probability | Prompt engineering | Python | Quantization | RAG | Regularization | Retrieval-Augmented Generation | Spark | Statistical Methods | Statistics | Stochastic Processes | Transfer Learning | Transformers | Vector Databases
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
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