Applied AI Scientist/Researcher (Senior/Staff) - VC Backed Startups
Tasks
- Adapt foundation models through fine tuning post training and prompt optimization
- Build prototypes and proofs of concept
- Communicate findings tradeoffs and technical recommendations
- Curate generate and evaluate training and fine tuning datasets
- Design experiments for model architectures training and data
- Develop evaluation frameworks benchmarks for model quality safety and performance
- Improve model accuracy reasoning latency efficiency robustness and cost
- Investigate model failures edge cases and unexpected behavior
- Mentor other scientists and contribute to research culture and roadmap
- Publish research contribute to open source and represent company technically
- Research develop evaluate machine learning methods
- Stay current with AI research and assess practical product value
- Translate experiments into production systems
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Computer Vision | Databricks | Deep learning | Diffusion Models | Distillation | Distributed Training | Experimental Design | Fine Tuning | GPUs | Generative AI | Hugging Face | Human evaluation | Inference | Interpretability | JAX | Kubernetes | Language Models | Language Processing | Large Language Models | Learning from feedback | Machine Learning | Model Evaluation | Model Observability | Model Training | Model routing | Multimodal Learning | Multimodal Models | Natural Language | Natural Language Processing | Optimization | Post-training | Preference optimization | Prompt Optimization | PyTorch | Python | Recommendation Systems | Red Teaming | Reinforcement Learning | Reinforcement Learning from Feedback | Retrieval-Augmented Generation | Scikit-learn | Snowflake | Spark | Speech | Statistics | Synthetic data | TensorFlow | Transformers | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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