AI Evaluation Scientist

Steampunk, Inc.; McLean (VA); On-site; USD 105,000 - 145,000; Full time

Job summary

Steampunk seeks an AI Evaluation Scientist to design and execute evaluation processes ensuring AI systems are accurate, reliable, safe, and aligned with mission requirements.

You will collaborate with AI Developers, LLMOps Engineers, and Data Scientists to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment across the AI lifecycle.

Qualifications

• Bachelor’s degree and 5+ years of experience.
• Master’s degree and 3+ years of experience.
• 2+ years evaluating ML models, NLP systems, or generative AI models (LLMs preferred).
• Proficiency in Python and relevant libraries (PyTorch, Hugging Face, scikit-learn, LangChain).
• Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design.

Responsibilities

• Design evaluation processes to ensure accuracy, reliability, safety, and alignment with mission requirements.
• Develop benchmarks, test harnesses, and pipelines to monitor performance drift.
• Perform structured error analysis and audits of LLMs, RAG, and predictive models.

Skills

Python

PyTorch

Hugging Face

scikit-learn

LangChain

Education

Bachelor's degree in CS/Stats/ML/etc.

Master's degree in CS/Stats/ML/etc.

Tools

OpenTelemetry

Ragas/DeepEval

Job description

We are looking for an AI Evaluation Scientist to design and execute evaluation processes that ensure our predictive and generative AI systems are accurate, reliable, safe, and aligned with mission requirements. This role is essential for establishing trust in AI solutions and supporting continuous improvement across the AI lifecycle. The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment.

Contributions

• Implement evaluation frameworks for AI models, including accuracy, robustness, relevance, bias, hallucination rate, and safety metrics.
• Build and maintain automated evaluation scripts, tests, and pipelines that assess AI model outputs and detect performance drift over time.
• Develop benchmark datasets, challenge sets, and scenario-based test cases tailored to mission and user needs.
• Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
• Collaborate with AI Developers, LLMOps Engineers, and Data Scientists to support iterative experimentation, model hardening, and quality improvements.
• Contribute to the design of human-in-the-loop evaluation workflows, integrating qualitative and quantitative insight into evaluation reports.
• Assist in mapping evaluation outcomes to responsible AI principles such as fairness, transparency, reliability, and safety.
• Partner with AI Governance Analysts to ensure evaluation outputs support compliance, documentation, and risk assessments.
• Stay current with emerging evaluation tools, frameworks, metrics, and research related to LLM assessment and generative AI reliability.
• Document evaluation processes, criteria, and results for both technical and non-technical audiences.
• You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications

• Ability to hold a position of public trust with the U.S. government.
• Bachelor’s degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 5+ years of experience.
• Master’s degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 3+ years of experience.
• 2+ years of experience evaluating machine learning models, NLP systems, or generative AI models (LLMs preferred).
• Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems.
• Proficiency in Python and relevant libraries such as PyTorch, Hugging Face, scikit-learn, LangChain.
• Proficiency in AI evaluation frameworks such as Ragas or DeepEval.
• Proficiency in AI traceability/observability tools based on the OpenTelemetry protocol.
• Experience analyzing structured and unstructured data, including text, documents, and embeddings.
• Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures.
• Exposure to responsible AI concepts and governance-aligned evaluation criteria (e.g., fairness, transparency, reliability).
• Strong analytical skills with the ability to interpret model weaknesses, extract insights, and recommend actionable improvements.
• Excellent written and verbal communication skills, with the ability to present evaluation findings clearly to technical and non-technical stakeholders.
• Experience working in agile or iterative development environments is a plus.
• Familiarity with OWASP LLM Top 10 Risks
• Relevant certifications (helpful but not required): NIST AI RMF (AISIC), INFORMS CAP, AWS/Azure/Google ML Certifications.

About Steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $105,000 to $145,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees.

Learn more about additional Steampunk benefits here.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com .