REQ ID – 35651642
ROLE – ML Applied Scientist/ML Research Engineer
LOCATION – New York, NY - Hybrid
MAIN SKILLS – PyTorch and/or MLX expertise, experience solving real-world problems with LLMs, LLM benchmarking and evaluation, Strong research fundamentals, experience with one or more LLM training or post-training paradigm, experience with ML/AI development and evaluation, ideally in domains like natural language processing, natural language understanding, search, code generation, or language generation, experience using LLMs to solve downstream ML/AI development problems, such as synthetic data generation, auto-labeling, and data curation, Expertise in LLM fine-tuning and/or pre-training, bonus points for RL experience, Publications in relevant conferences (NeurIPS, ICML, ACL, etc.) are a plus but not mandatory
Minimum Qualifications
- Substantive experience solving real-world problems with LLMs
- Experience with LLM benchmarking and evaluation
- Experience applying software engineering best practices to ML development
- Strong research fundamentals
- Substantive experience with one or more LLM training or post-training paradigm
- Experience with PyTorch and/or MLX
Preferred Qualifications
- Substantive experience with ML/AI development and evaluation, ideally in domains like natural language processing, natural language understanding, search, code generation, or language generation
- Extensive experience using LLMs to solve downstream ML/AI development problems, such as synthetic data generation, auto-labeling, and data curation
- Expertise in LLM fine-tuning and/or pre-training, bonus points for RL experience
- PyTorch and/or MLX expertise
- Publications in relevant conferences (NeurIPS, ICML, ACL, etc.) are a plus but not mandatory
Minimum Education & Experience
6+ years of relevant industry experience with a Bachelor's degree; or 4+ years with a Master's degree; or a PhD 3+ years industry experience; or equivalent work experience.
