Senior Data Scientist AI Evaluation

We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!

We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

• →Design AI evaluations: Define ground truth, metrics, and scoring methods for models and agents.
• →Build repeatable eval loops: Track quality over time and catch regressions before release.
• →Partner on infrastructure: Work with engineering and analytics engineering to operationalize eval harnesses.
• →Drive iteration: Translate eval results into actionable recommendations for system improvements.
• →Establish quality standards: Set evaluation guidelines, documentation, and review practices.
• →Mentor and align: Foster evaluation best practices and build a culture of measurable AI quality across the team.

• Track record of quantitative measurement rigor (e.g., LLM/model evaluation, metric validation, or experimentation).
• Strong statistical and ML foundation—you treat evaluations as experiments (sample sizing, confidence intervals, significance, handling non-determinism) and validate automated graders against human ground truth.
• Proficiency in Python and SQL, with experience evaluating models in production environments.
• Strong judgment in defining quality metrics and ground truth for ambiguous outputs.
• Excellent communication and cross-functional collaboration skills to align technical teams and leadership.
• Strong problem-solving ability in fast-paced, greenfield environments.
• 6–10 years in quantitative data science or ML, with focused experience in measurement or evaluation. A quantitative degree is a plus; equivalent industry experience is equally welcome.

• Hands-on LLM/agent evaluation in production, including eval harnesses, LLM-as-judge calibration, and CI regression gates.
• Experience evaluating text-to-SQL, analytics agents, or other systems where correctness is verifiable against data.
• Background in fintech, brokerage, or other domains where a wrong answer has real business or risk consequences.
• Fluency with AI tools in research and engineering workflows.

• Competitive Salary & Stock Options
• Health Benefits
• New Hire Home-Office Setup: One-time USD $500
• Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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