Red Hat · 23 hours ago
Senior Machine Learning Engineer - AI Eval & Safety
Boston, MA
Full-time
Hybrid
Senior Level
$171K/yr - $282K/yr
5+ years expRed Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. They are seeking a Senior Machine Learning Engineer who will be responsible for building infrastructure that ensures AI models are safe, reliable, and aligned with human values, while leading the development of evaluation platforms for large language models and agents.
Enterprise SoftwareInsurTechLinuxOpen SourceOperating SystemsSoftware
Responsibilities
Architect and lead development of large-scale evaluation platforms for LLMs and agents, enabling automated, reproducible, and extensible assessment of accuracy, reliability, safety, and performance across diverse domains
Define organizational standards and metrics for LLM/agent evaluation, covering hallucination detection, factuality, bias, robustness, interpretability, and alignment drift
Build platform components and APIs that allow product teams to integrate evaluation seamlessly into training, fine-tuning, deployment, and continuous monitoring workflows
Design automated pipelines and benchmarks for adversarial testing, red-teaming, and stress testing of LLMs and retrieval-augmented generation (RAG) systems
Lead initiatives in multi-dimensional evaluation, including safety (toxicity, bias, harmful outputs), grounding (retrieval correctness, source attribution), and agent behaviors (tool use, planning, trustworthiness)
Collaborate with cross-functional stakeholders (safety, product, research, infrastructure) to translate abstract evaluation goals into measurable, system-level frameworks
Advance interpretability and observability, developing tools that allow teams to understand, debug, and explain LLM behaviors in production
Mentor engineers and establish best practices, driving adoption of evaluation-driven development across the organization
Influence technical roadmaps and industry direction, representing the team’s evaluation-first approach in external forums and publications
Qualification
Required
5+ years of ML engineering experience, with 3+ years focused on large-scale evaluation of transformer-based LLMs and/or agentic systems
Proven experience building evaluation platforms or frameworks that operate across training, deployment, and post-deployment contexts
Deep expertise in designing and implementing LLM evaluation metrics (factuality, hallucination detection, grounding, toxicity, robustness)
Strong background in scalable platform engineering, including APIs, pipelines, and integrations used by multiple product teams
Demonstrated ability to bridge research and engineering, operationalizing safety and alignment techniques into production evaluation systems
Proficiency in Python, PyTorch, Hugging Face, and modern ML ops/deployment environments
Track record of technical leadership, including mentoring, architecture design, and defining org-wide practices
Preferred
Experience with multi-agent evaluation frameworks and graph-based metrics for agent interactions
Background in retrieval-augmented generation (RAG) evaluation (retrieval precision/recall, grounding, attribution)
Contributions to AI safety or evaluation research in industry or academia
Familiarity with adversarial testing methodologies and automated red-teaming
Knowledge of interpretability and transparency methods for LLMs
Advanced degree in ML/CS or related field with focus on evaluation, safety, or interpretability
Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Company
Red Hat
Red Hat is a software company that offers enterprise open-source software solutions. It is a sub-organization of IBM.
10001+ employees
H1B Sponsorship
Red Hat has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (159)
2024 (148)
2023 (156)
2022 (181)
2021 (154)
2020 (106)
Funding
Current Stage
Public CompanyTotal Funding
unknown2018-10-28Acquired
1999-08-20IPO
1999-03-09Corporate Round
Leadership Team
Chris Wright
Chief Technology Officer and Senior Vice President Global Engineering
Mark Little
CTO JBoss
Recent News
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