Applied AI Scientist/Researcher (Senior/Staff) - VC Backed Startups
Remote - No Preference
R
USD 170K-250K (estimate) Senior-level Full Time
Tasks
- Analyze model failures edge cases and unexpected behavior
- Build evaluation frameworks and benchmarks
- Collaborate with engineers to productionize models
- Communicate findings to product and engineering stakeholders
- Curate generate and evaluate datasets
- Design experiments test model architectures training approaches data strategies
- Develop prototypes and proofs of concept
- Fine tune and adapt foundation models
- Improve model accuracy reasoning latency efficiency robustness and cost
- Mentor other scientists and contribute to AI roadmap
- Optimize prompts and retrieval augmented generation
- Publish research and contribute to open-source
- Research develop evaluate machine learning methods
- Stay current with AI research and assess practical value
Perks/Benefits
- N/A
Skills/Tech-stack
Agents | Benchmarking | Computer Vision | Databricks | Distillation | Distributed Training | Fine Tuning | GPU Computing | Generative AI | Hugging Face | Human Feedback | Human evaluation | Interpretability | JAX | Kubernetes | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Model Evaluation | Model Observability | Multimodal Learning | Natural Language | Natural Language Processing | Preference optimization | Prompt Optimization | PyTorch | Python | Recommendation Systems | Red Teaming | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Scikit-learn | Snowflake | Spark | Synthetic data | TensorFlow | Transformers | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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