Staff Data Scientist (Safety Evaluation)

TL;DR

Staff Data Scientist (Safety Evaluation): Develop safety evaluation frameworks and ML models to ensure autonomous vehicle safety with an accent on statistical methods, data analysis pipelines, and cross-functional collaboration. Focus on designing robust validation frameworks, analyzing simulation data, and advancing safety-critical ML techniques.

Location: Mountain View, California, United States (Onsite)

Salary: $238,000–$302,000 USD

Company

hirify.global is an autonomous driving technology company focused on building the world's most experienced and trusted autonomous driver to improve mobility and safety.

What you will do

• Develop safety evaluation frameworks critical to ML model improvements.
• Design and implement robust data analysis pipelines and validation frameworks.
• Apply statistical methods and ML models to analyze historical and simulation data for safety assessment.
• Collaborate with cross-functional teams like Simulation and Planning for comprehensive safety evaluation.

Requirements

• Location: Must be onsite in Mountain View, California, United States
• PhD in a quantitative field such as Statistics, Mathematics, or Physics.
• 7+ years of industry experience solving large-scale complex problems.
• Expertise in advanced statistical methods including ML models, hypothesis testing, and causal analysis.
• Proficiency with Python, SQL, and R data analysis libraries.
• Ability to handle ambiguous data and complex business requirements.

Nice to have

• Experience with Autonomous Driving related problems.
• Knowledge of advanced ML techniques like Deep Learning and Diffusion models.
• Hands-on experience with Google infrastructure tools such as PLX, Borg, and GCL.

Culture & Benefits

• Top-notch medical, dental, and vision insurance plus mental wellness support.
• Competitive compensation, bonus opportunities, equity, and employee discounts.
• Flexible work options including onsite, hybrid, and remote opportunities.
• Generous paid time off including parental leave and bereavement.
• Education reimbursement, professional development, mentorship, and volunteer time.
• Access to Google offices, wellness centers, and at-home fitness classes.