Data & ML Engineer

Build the data and model layer behind an AI-enabled decision-support system in an accredited environment, including data ingestion, record matching, relevance scoring, retrieval, grounded generation, model serving, provenance, auditability, validation, and secure release practices.

Responsibilities

• Design and maintain graphs of entities, records, and typed relationships
• Implement probabilistic matching, candidate generation, scoring, clustering, and threshold policies
• Build deduplication and known-record suppression
• Establish provenance for source records
• Develop relevance and priority models
• Design calibration, threshold, and abstention policies
• Perform feature engineering and error analysis
• Implement embeddings, vector storage, retrieval, and grounded generation
• Build secure ingestion, transformation, validation, and publishing pipelines
• Implement quality checks, schema validation, lineage capture, audit logging, and source drift detection
• Package, serve, version, and roll back models
• Maintain audit trails and submit changes through gated release processes

Requirements

• 5+ years of experience in data engineering, data architecture, applied machine learning, ML engineering, or production analytics engineering
• Strong Python and SQL skills
• Experience delivering systems for sustained operational use
• Experience working with large, imperfect operational data
• Routine use of AI-assisted development
• Ability to explain technical decisions to stakeholders
• US citizenship required
• Active US Secret clearance
• CAC eligibility
• Willingness to travel up to 25%
• Preferred experience with probabilistic matching, graph data modeling, PostgreSQL, pgvector, scikit-learn, XGBoost, PyTorch, retrieval-augmented generation, AWS Glue, Airflow, dbt, Spark, Kafka, or NiFi

Benefits

• Fully remote work
• Employer-paid medical, dental, and vision insurance for employees and their families
• Unlimited paid time off
• Flexible work schedule
• 14 weeks of fully paid parental leave
• 401(k) option
• FSA
• Equity incentives
• Mental health benefits
• GLP-1 solutions