
Senior Agentic AI β Data Science Applied Researcher
Posted Aug 4

Posted Aug 4
This is a fully remote position, open to applicants in California, +2 more states.
β’ Work collaboratively with software and solutions teams to pinpoint significant opportunities for implementing agentic AI technologies.
β’ Oversee the design, development, and enhancement of agentic AI solutions tailored for data science and machine learning workflows.
β’ Create and sustain agentic AI benchmarks applicable to various use cases.
β’ Develop agentic AI solutions that streamline parts or the entirety of data science pipelines, including data elicitation, curation, iterative experimentation, model training and evaluation workflows, diagnostics, and ablation studies.
β’ Implement solutions for enterprise data science projects and machine learning competitions.
β’ Collaborate with internal teams and organizations.
β’ Produce work that is utilized in products on a global scale.
β’ A bachelor's degree in computer science, electrical engineering, or a related field, or equivalent experience.
β’ Over 5 years of experience in industry or academia focused on AI data science systems development.
β’ Familiarity with fine-tuning models, reinforcement learning, agents, or orchestration frameworks.
β’ Practical experience with deep learning frameworks and inference stacks.
β’ Strong proficiency in Python.
β’ Competence in at least one of PyTorch or JAX/TensorFlow.
β’ Experience utilizing coding agents such as Claude Code, Codex, or Cursor for developing and maintaining sophisticated codebases.
β’ Background in developing agentic or automated systems that interact with external storage and reporting tools.
β’ Knowledge of safety measures, guardrails, and policy enforcement for autonomous systems.
β’ Extensive expertise in constructing, training, and fine-tuning models.
β’ Experience in designing, executing, and analyzing autonomous AI systems for data science and machine learning applications.
β’ Proven leadership in open-source initiatives related to agentic AI systems for data science.
β’ Successful outcomes in machine learning competitions and benchmarks.
β’ Comprehensive benefits package.
β’ Equity options.
β’ Highly competitive salary.
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