Machine Learning Engineer, Wayve
Foundation Models
+ Equity
More information about location
2-5 days a week in office (Mountain View, CA)
Autonomous mobility driven by AI
Open for applications
Autonomous mobility driven by AI
201-500 employees
Open for applications
+ Equity
More information about location
2-5 days a week in office (Mountain View, CA)
201-500 employees
Company mission
To reimagine autonomous mobility through embodied intelligence.
Role
Who you are
- You champion engineering best practices, ensuring solutions are scalable, efficient, and maintainable. You prioritize code quality, readability, and reusability, understanding that these qualities are key to long-term success
- You excel in ambiguous, fast-paced environments, adept at navigating and thriving amidst change
- You get excited about optimizing pre-training runs, for example, including data pre-processing, CUDA optimization, model quantization and optimization, increasing throughput of training jobs (e.g., FP-8)
- (A plus) You have experience with MLOps or ML Infrastructure, reflecting your ability to streamline machine learning workflows
- 2+ years of experience with a BS or MS in Computer Science, Engineering, or related discipline, or equivalent experience
- Solid experience with Python or proficiency in a systems/backend programming language with the ability to quickly adapt to Python
- Demonstrated experience in system design, capable of architecting robust, scalable solutions
- Proven track record of working in teams to successfully deliver open-ended projects
- Ability to work cross-functionally, bridging gaps between teams to drive collective goals
What the job involves
- Collaborate with Applied Scientists and Machine Learning Engineers on advanced, multimodal, embodied Foundation Models, enhancing your Machine Learning Engineering (MLE) skills
- Develop and manage comprehensive datasets and data engineering pipelines, supporting complex research initiatives
- Craft and refine tools for rapid exploration and detailed visualizations, pushing the boundaries of research efficiency
- Drive observability, monitoring, and performance optimizations to elevate system reliability and performance
- Create tools specifically designed to expedite solving research problems, showcasing your problem-solving capabilities
- Work seamlessly with platform teams, facilitating integration and leveraging shared resources for broader impact
Our take
Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.
The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.
Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
28% female employees
24% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2024
$1.1bn
SERIES C
Jan 2022
$200m
SERIES B
Total funding: $1.3bn
Company benefits
- Learning budget
- In-house chef
- Flexible Working
- Private health insurance and therapy
- Workplace nursery scheme
- Onsite bar
- Large social budgets
- Enhanced parental leave
Company values
- Pave new roads, explore unknown horizons: We take calculated risks and embrace unknown territory
- Leave positive tracks: A big reason for working on autonomous vehicles is for the positive impact they can have to the environment, the lives they will save, the opportunities they will create for others and more!
- Autonomous in thought, collective in action: We are built of strong, curious individuals coming from all walks of life, but who, together, want to achieve a common goal.
- Drive each other forward: We are a company that stands strong upon the foundation which it has created. This foundation is the team, the individuals who make Wayve, Wayve.
Company HQ
London, UK
Articles
Leadership
Alex Kendall
(CEO)Has a PhD from Cambridge in Computer Vision & Robotics. Previously Research Engineer at Skydio and Advisor to Scape Technologies
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