Wayve on cord

Wayve

Principal Machine Learning Engineer

External position
London, UK
Hiring internally for Wayve?
Automotive · Machine Learning and AI
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles.
Posted
15 hours ago
Checked
cord regularly checks that external positions are still open
15 hours ago

Skills & Experience

Job roles: Machine Learning Engineer
Experience level: Lead, Leadership
Core skills considered: Python, Machine Learning, Deep Learning, Data Analysis, Agile
Other skills considered: Scrum, Building Teams, Technical Direction, Data Modeling

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

The Driving Product team owns Wayve's core end to end driving model, the algorithm that directly shapes how our vehicles behave on the road. This model already underpins production agreements with Nissan and Mercedes, with further OEM partnerships in the works, so the team's output is tied directly to Wayve's near term commercial milestones. The team is highly iterative: it looks at the top issues we see on the road, root causes them, and drives them out through data, model and evaluation changes, working closely with other teams across the business to resolve issues that span the model and vehicle interface.


Your day-to-day

  • Lead the team iterating on L2 driving performance, balancing hands-on technical work with team leadership
  • Diagnose the highest impact issues seen on the road, root cause them, and resolve them through data and model iteration
  • Own changes to data recipes, model architecture, evaluation and release readiness for the driving model
  • Partner with other teams to resolve cross-functional issues, including model and vehicle interface problems
  • Act as one of the team's key hands-on developers, writing code and running experiments alongside directing the team's priorities

What you'll be working on:

  • The end to end driving model that powers Wayve's L2 product and sits at the centre of our OEM partnerships with Nissan and Mercedes, with further partners in the pipeline
  • Scaling the driving model's performance across different geographies and vehicle platforms while hitting performance and compliance KPIs
  • Data led iteration cycles: using on road and off road evaluation to identify the biggest performance gaps and close them
  • Cross-functional resolution of model and vehicle interface issues, working with specialists across the business
  • Growing and shaping a small, high impact team (initially up to five people) as the driving model programme scales

You should apply if:

  • You're highly technical and hands-on, comfortable writing Python and doing model and data iteration yourself, not just directing others
  • You've delivered deployed, production ML models, ideally in robotics or autonomous vehicles, with experience shipping and iterating on ML for embodied AI applications
  • Alternatively, you've productionised ML models at another company and have experience delivering incremental improvements to a live system over time
  • Your experience is production focused rather than primarily research or early stage exploration
  • You want to keep doing deeply technical work, whether or not you've managed people before. We're looking for strong ICs or tech leads just as much as experienced managers, and are happy to ease the right person into managing a small team

Company Benefits

  • Competitive compensation with salary and equity
  • Immersion in a team of world-class researchers, engineers and entrepreneurs
  • A position to shape the future of autonomous driving and to tackle the biggest challenges of our time
  • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
Principal Machine Learning Engineer at Wayve
Position posted 15 hours ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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