Senior Data Scientist (AI)

Location: Hybrid role based in the office in either London, UK or Sunnyvale, US, with time spent working from home.

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic automated driving systems.

What you will do

• Build and own the analytical layer for weekly autonomous-driving model evaluation and release decisions.
• Improve simulation and offline metrics, evaluation suites, scoring logic, and measurement coverage.
• Analyze on-road experiments and determine how findings should improve offline tests and model evaluation.
• Apply statistical methods to experiments and evaluation data to provide evidence-based model promotion recommendations.
• Develop richer measures of model quality using behavioral and operational signals beyond intervention rates.
• Partner with Data Science, Validation, Product, engineering, safety, and OEM quality workflows to turn investigations into durable improvements.

Requirements

• Strong analytical and investigative skills, including the ability to turn unclear issues into evidence-backed conclusions.
• Experience with machine-learning evaluation data, driving-performance metrics, or complex test results at scale.
• Statistical experience with A/B testing and experimentation, including confidence intervals, distributions, and sampling.
• Proficiency in Python or SQL and experience querying and analyzing large datasets.
• Ability to work autonomously in a fast-moving environment and communicate concise recommendations to technical and non-technical audiences.
• Ability to work from the London, UK or Sunnyvale, US office under a hybrid policy.

Nice to have

• Experience in autonomous driving, robotics, or safety-critical machine-learning systems.
• Familiarity with simulation-based testing, on-road experiment analysis, or statistical comparison of model behavior.
• Experience defining quality standards across product, safety, and engineering teams.
• Exposure to OEM or partner validation workflows.
• Experience improving evaluation infrastructure or measurement methodology.

Culture & Benefits

• Hybrid work combining office and workshop collaboration with working from home.
• Inclusive, diverse, and respectful working environment.
• Support for accommodations and adjustments during the interview process.
• Opportunities to work on self-driving technology and complex safety-focused AI problems.

Hiring process

• Reasonable accommodations and adjustments are available for the interview process on request.