At a Glance
- Tasks: Join a team creating ultra-realistic simulations for autonomous vehicles using cutting-edge machine learning.
- Company: Waymo, a leader in autonomous vehicle technology with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and career advancement.
- Why this job: Make a real impact in the future of transportation by pushing the boundaries of simulation technology.
- Qualifications: 4+ years in deep learning, coding skills, and experience in data analysis or data science.
The predicted salary is between 70000 - 90000 £ per year.
Requirements:
- 4+ years experience in applied Deep Learning
- 4+ years coding and design skills
- Experience solving complex production problems using state-of-the-art ML techniques
- Experience taking research to production
- Expertise in Data Analysis or Data Science
What the job involves:
The Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly setup and rollout multiple scenarios to subject our driver to.
We have set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for research engineers to work on these exciting problems. In this hybrid role, you will report to an Engineering Manager.
Be part of a world class research engineering team to grow the state-of-the-art of ultra realistic AV simulations using foundation models. Collaborate with teams in Waymo Oxford to use large models to improve sim realism. Design experiments that push the frontiers of AV simulations. Develop metrics that measure the realism of simulated worlds. Train and evaluate large models and integrate them into the simulator and its downstream applications. Help hire outstanding research engineers from diverse backgrounds. Be a part of a collaborative research engineering team that takes research ideas and productionizes them.
Senior Machine Learning Engineer (London, UK-LON-40BR, Simulation 7XW) employer: Waymo
As a Senior Machine Learning Engineer at our London office, you will join a world-class team dedicated to pushing the boundaries of autonomous vehicle simulations. We foster a collaborative and innovative work culture that values diversity and encourages professional growth through challenging projects and mentorship opportunities. With access to cutting-edge technology and a commitment to employee development, we offer a unique environment where your contributions can make a significant impact on the future of transportation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (London, UK-LON-40BR, Simulation 7XW)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working on machine learning and simulations. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and data analysis. Use GitHub to share your code and document your thought process. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding and design skills. Practice solving complex problems using state-of-the-art ML techniques. Websites like LeetCode or HackerRank can help you get into the right mindset and sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals to join our team. Tailor your application to highlight your experience with productionising research and working with large models, as that’s what we’re all about!
We think you need these skills to ace Senior Machine Learning Engineer (London, UK-LON-40BR, Simulation 7XW)
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 4+ years of experience in applied Deep Learning and coding. We want to see how you've tackled complex production problems using state-of-the-art ML techniques, so don’t hold back!
Tailor Your Application:When applying, customise your CV and cover letter to reflect the job description. Mention your expertise in Data Analysis or Data Science and how it relates to building realistic simulations. This helps us see you as a perfect fit!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points for your skills and experiences, making it easy for us to spot what makes you stand out. Remember, we love a well-structured application!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Waymo
✨Know Your Deep Learning Inside Out
Make sure you brush up on your deep learning knowledge, especially the techniques you've applied in past projects. Be ready to discuss specific challenges you've faced and how you solved them using state-of-the-art ML methods.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning and data analysis to show off your design skills.
✨Talk About Real-World Applications
Be prepared to discuss how you've taken research to production. Share examples of how you've implemented machine learning solutions in real-world scenarios, particularly those that relate to simulations or complex production problems.
✨Collaborate and Communicate
Since this role involves working with teams across different locations, highlight your collaboration skills. Share experiences where you've successfully worked in a team setting, especially in research engineering contexts, to show you're a great fit for their collaborative environment.
