Technical Lead Manager, Wayve
Behavior and Language
+Stock Options
More information about location
2-5 days a week in office
Autonomous mobility driven by AI
Open for applications
Autonomous mobility driven by AI
201-500 employees
Open for applications
+Stock Options
More information about location
2-5 days a week in office
201-500 employees
Company mission
To reimagine autonomous mobility through embodied intelligence.
Role
Who you are
- We’re looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles
- We are looking for an experienced Research Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving
- 7+ years of ML engineering / applied science experience in an industrial research environment
- 2+ years of experience managing small teams
- Experience in GenAI, EfficientAI, LLMs, World Models, Reinforcement Learning, and Autonomous Driving
- Passion for working in a team on research ideas that have real-world impact
- Strong software engineering experience in Python and other relevant languages (e.g., C++ and CUDA)
- Several years of experience working on machine learning algorithms and systems
- A good grasp of machine learning literature
- Comfortable working with large quantities of image and video data
- Good insight into the practical aspects of training, validation, testing, and metrics for deep learning features/models
- MS, PhD or above in Machine Learning, Computer Science, Engineering, or a related technical discipline, or equivalent experience
What the job involves
- We’re a growing start-up building our first cohort of engineers, and you can be at the heart of this!
- You’ll be working across our research team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving
Salary benchmarks
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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