As a Senior Applied Scientist, Autonomy Evaluation, you'll drive impact focused projects that address the everyday challenges that our AV's face on urban roads- ones that do not have standard solutions available.
What you'll be doing:
As a Senior Applied Scientist, you will demonstrate your leadership by:
- Driving evaluation strategies and roadmaps, monitoring and analysis incorporating safety, roadcraft and compliance metrics for core autonomous capabilities.
- Supporting comprehensive validation of AV performance with high fidelity signals.
- Driving testing and road monitoring process in collaboration with AV Engineers to build a fast feedback loop to AV model development.
- Fostering a positive, collaborative work environment.
- Role-modeling a positive, humble and growth-oriented attitude.
As an individual contributor, you will be responsible for:
- Building high quality data miners and metrics that serves testing, road monitoring, and model training
- Analyzing AV performance data to extract insights and opportunities for optimization.
- Developing new methodologies, e.g., machine learning based approaches, to scalably improve the quality of metrics
- Test and deploy and your methods in our simulation environment
- Collaborating with AV Software Engineers, Systems Engineers, Test Engineers along with Product Management and other stakeholders to build shareable tools, methods, and dashboards
- Converting insights into actionable recommendations for AV software development and launch readiness decisions, and succinctly communicate these findings to partners and leadership
What you must have:
- A Masters or PhD degree or equivalent experience in Robotics or other relevant industry experience
- 3+ years post-academic experience in evaluating large models, data science, machine learning, or a closely-related field
- Strong software engineering foundation and proficiency in production-environment coding and best practices
- Proficiency in SQL and Python
- Experience designing, training, and critically analyzing machine learning models for big data
- Solid statistical foundations, familiarity with hypothesis testing, statistical power, and common biases in data
- Experience designing, developing and maintaining automated reporting tools for management and other partners
- Creative, inventive, and passionate about seeking new solutions to problems and opportunities
- A track record of leading multi-functional initiatives and collaborating with engineering and product teams
- 3+ years of experience mentoring other data scientists
Bonus Points!
- Experience in the autonomous driving industry
- Experience in C++
The salary range for this position is $161,200 - $237,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.