ghSMART

We help CEOs, boards and investors develop winning executive teams and make high-stakes leadership decisions.

Machine Learning Engineer, LLMs / RAG

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 51-200Since 1995H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

54 days ago

Salary

$160K - $175K / year

Bachelor Degree5 yrs expEnglishAzureSFDC

Job Description

• Design, build, and extend ML models (LLMs and traditional ML) that deliver high-accuracy insights from ghSMART’s structured leadership dataset; own end-to-end experimentation, evaluation, and deployment. • Develop RAG-based agents and algorithms to unlock novel leadership insights from our research database. • Integrate advanced solutions and AI Agents into the Leadership Intelligence Platform and partner cross-functionally to align features with strategic objectives and user needs. • Optimize data pipelines and workflows to ensure robust, efficient data ingestion, transformation, and model serving across engineering teams. • Collaborate on research with academic partners and contribute to publications and thought leadership by validating findings with rigorous methods.

Job Requirements

  • 5+ years of ML engineering experience building and shipping large-scale models and systems (training, tuning, inference, MLOps, monitoring).
  • Hands-on expertise with RAG frameworks and LLMs, including designing retrieval strategies, prompt orchestration, evaluation, and deployment at scale. Experience building AI agents via the LangChain, LangGraph framework is a plus.
  • Strong data engineering fundamentals across pipelines, data quality, and feature engineering to support reliable ML workflows. Experience with Databricks and Azure is a plus.
  • Security and privacy mindset, with experience applying best practices to protect sensitive data in ML systems.
  • Collaborative, remote-first working style with clear communication and ownership; familiarity with Salesforce (SFDC), Jira, Confluence, and Git.

Benefits

  • 401(k) plan with an annual employer contribution
  • Comprehensive benefits package
  • Flexible schedules to support life outside of work

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