What are the responsibilities and job description for the ML Applied Scientist position at netPolarity, Inc. (Saicon Consultants, Inc.)?
Duration : 12 months Contract W2 only
Location : New York, NY ( must be local to NYC )
No C2C or Corp to Corp
As a ML Applied Scientist, you will
Become intimately familiar with product use cases, requirements, and data in order to develop the insights required for solving hard evaluation problems
Develop models and systems that reliably solve complex evaluation problems
Develop and refine benchmarks that help feature engineers advance the state-of-the-art
Research and develop methodological innovations that advance the state-of-the-art in AI evaluation
Collaborate on an applied R&D team that is oriented around principles of continuous delivery, iterative development, and fault tolerance
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.
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