Senior Machine Learning Engineer
3 weeks ago
We are seeking an experienced software engineer to join our team at Zoox, where you will be responsible for architecting and scaling the core capabilities of our platform.
You will work cross-functionally with engineers in AI, simulation, ML platform, and infra to push the boundaries of scalability and performance, and bring state-of-the-art machine learning and optimization applications to production.
Key Responsibilities:
- Build the foundational blocks of our machine learning engine used for simulations, and improve its core capabilities
- Design and support large-scale high-performance infrastructure services
- Lead complex cross-functional projects
- Keep up with the state-of-the-art distributed systems and AI frameworks
- Communicate your work to other teams at Zoox
Qualifications:
- 6+ years of industry experience in architecting and scaling distributed systems in production
- Experience building high-performance machine learning workflows
- BS/MS in Computer Science or equivalent experience
- Fluency in production-level Python
Bonus Qualifications:
- Experience building resilient high-performance services in the cloud
- Experience with hyperparameter optimization or large-scale simulations
- Experience with CUDA
- Fluency in C++
- Experience with autonomous vehicles
Compensation:
The salary range for this position is $196,000 to $246,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level.
Zoox also offers a comprehensive package of benefits including paid time off, unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox:
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.
We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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