Research Scientist, Human-AI Systems (Remote-friendly)

snorkelai; Stati Uniti; Ibrido; USD 200.000 - 375.000; Tempo pieno

Descrizione del lavoro

snorkelai is seeking a Research Scientist to advance high-quality datasets and agentic environments, spanning applied ML research, data engineering, and production systems. You will design experiments, collaborate with domain experts, and ship research into production workflows.

The role emphasizes developing reusable pipelines, rigorous experimentation, and cross-functional collaboration to close performance gaps for advanced models. Remote-friendly with options to base in major US tech hubs.

Competenze

• PhD in machine learning, NLP, or related field preferred; equivalent industry or research lab experience considered.
• Experience developing and evaluating new ML methods.
• Experience building environments for AI agents and synthetic data generation.
• Strong experimental design with hypothesis definition and ablation studies.
• Solid software engineering with clean code and version control.

Mansioni

• Design and optimize reusable pipelines combining AI with expert judgment to accelerate data and environment creation.
• Run rigorous experiments and ablations to assess impact on data quality and model performance.
• Collaborate with engineers, data ops, domain experts, and customers to productionize research.
• Work with SMEs to design tests for authoring, reviewing, and refining data and environments.
• Surface findings with product and data teams to inform roadmaps.
• Stay current with synthetic data and agent environments research and apply best practices.
• Represent the team’s research via publications, blogs, talks, and customer engagements.

Conoscenze

AI research

NLP / LLMs

Experiment design

Collaboration

Software engineering

Formazione

PhD in ML / NLP or related field

Strumenti

Python

Git

Descrizione del lavoro

snorkelai is seeking a Research Scientist to advance high-quality datasets and agentic environments, spanning applied ML research, data engineering, and production systems. You will design experiments, collaborate with domain experts, and ship research into production workflows.

The role emphasizes developing reusable pipelines, rigorous experimentation, and cross-functional collaboration to close performance gaps for advanced models. Remote-friendly with options to base in major US tech hubs.