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Applied Scientist

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Wayve

Sep 6

  • Job
    Full-time
    Mid & Senior Level
  • Research & Development
    Engineering
  • Vancouver
  • Quick Apply

AI generated summary

  • You must have a strong research background, Python and deep learning skills, experience in full ML development, problem-solving ability, and teamwork experience. A PhD is desirable.
  • You will tackle complex problems in autonomous driving, develop advanced models, utilize real-world data, collaborate on production solutions, and potentially contribute to top-tier academic publications.

Requirements

  • Essential
  • Proven track record of research in one or more of the topics above demonstrated through deployed applications or publications.
  • Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc.
  • Experience bringing a machine learning research concept through the full ML development cycle
  • Excellent problem-solving skills and the ability to work independently as well as in a team environment.
  • Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.
  • Desirable
  • Experience bringing an ML research concept through to production and at scale
  • PhD in Computer Science, Computer Engineering, or a related field

Responsibilities

  • - You'll be working on some of the world's hardest problems, and able to attack them in new ways.
  • - You'll be a key member of our diverse, cross-disciplinary team, helping teach our robots how to drive safely and comfortably in complex real-world environments. This encompasses many aspects of research across perception, prediction, planning, and control, including:
  • - How to leverage our large, rich, and diverse sources of real-world driving data
  • - How to architect our models to best employ the latest advances in foundation models, transformers, world models, etc, evaluating and incorporating state-of-the-art techniques into our workflows.
  • - Which learning algorithms to use (e.g. reinforcement learning, behavioural cloning)
  • - How to leverage simulation for controlled experimental insight, training data augmentation, and re-simulation
  • - How to scale models efficiently across data, model size, and compute, while maintaining efficient deployment on the car
  • - Collaborate with cross-functional teams to integrate research findings into scalable, production-level solutions.
  • - You also have the potential to contribute to academic publications for top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL etc. working in a world-class team, contributing to the scientific community and establishing Wayve as a leader in the field.

FAQs

What is the main focus of Wayve as a company?

Wayve is focused on advancing autonomous vehicle technology through breakthroughs in Embodied AI, creating intelligent, mapless, and hardware-agnostic solutions for navigating complex environments.

What qualifications are essential for the Applied Scientist position?

Essential qualifications include a proven track record of research in relevant AI topics, strong programming skills in Python, experience with deep learning frameworks, and the ability to work collaboratively in a fast-paced team environment.

Is a PhD required for the Applied Scientist role?

A PhD in Computer Science, Computer Engineering, or a related field is desirable but not strictly required.

What specific areas of research is the Vancouver team focusing on?

The Vancouver team is focusing on areas such as foundation models for robotics, model-free and model-based reinforcement learning, offline reinforcement learning, planning with learned models, imitation learning, and more.

Will there be opportunities for academic work or publications?

Yes, there is the potential to contribute to academic publications for top-tier conferences while working in a world-class team, which will help establish Wayve as a leader in the field.

What kind of working environment can I expect at Wayve?

You can expect a dynamic and fast-paced work environment that emphasizes learning, collaboration, and support, with a culture that is ego-free, respectful, and welcoming.

Does Wayve provide benefits and competitive compensation?

Yes, Wayve offers competitive compensation and benefits as part of the employment package.

How does Wayve approach diversity and inclusion?

Wayve is committed to creating a diverse, fair, and respectful culture that includes everyone based on their unique skills and perspectives, regardless of various factors such as gender, race, or disability.

What kind of team structure does Wayve encourage?

Wayve encourages a cross-disciplinary team structure where collaboration among diverse skill sets is essential to solving complex problems related to autonomous driving.

How does the hybrid working policy at Wayve function?

The hybrid working policy combines time spent in offices and workshops to foster innovation and relationships with the flexibility of working from home, allowing teams to determine the routines that work best for them.

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Wayve

We're Wayve, a leading developer of embodied intelligence for autonomous vehicles.

Technology
Industry
51-200
Employees
2017
Founded Year

Mission & Purpose

We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK. Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!