At a Glance
- Tasks: Join a top-tier team to enhance ultra-realistic AV simulations using cutting-edge ML techniques.
- Company: Be part of an innovative company leading the way in autonomous vehicle technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and career advancement.
- Why this job: Make a real impact by transforming research into practical applications in AV simulations.
- Qualifications: 5+ years in Deep Learning, coding skills, and experience in data analysis.
The predicted salary is between 60000 - 80000 € per year.
Requirements:
- 5+ years experience in applied Deep Learning
- 5+ 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:
- In this hybrid role, you will report to an Engineering Director
- 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
Staff Machine Learning Engineer (Simulation) in London employer: Deepstreamtech
As a Staff Machine Learning Engineer at our cutting-edge company, you will join a world-class research engineering team dedicated to advancing ultra-realistic autonomous vehicle simulations. We pride ourselves on fostering a collaborative and innovative work culture, offering exceptional employee growth opportunities through hands-on experience with state-of-the-art ML techniques and the chance to contribute to groundbreaking projects. Located in Oxford, you will benefit from a vibrant tech community and access to top-tier talent, making this an ideal environment for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Machine Learning Engineer (Simulation) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at companies you're keen on. A friendly chat can sometimes lead to opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and experiments in machine learning. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—this is where you can really shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us.
We think you need these skills to ace Staff Machine Learning Engineer (Simulation) in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 5+ years of experience in applied Deep Learning and coding. We want to see how you've tackled complex production problems, so share specific examples that showcase your skills!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Mention your expertise in Data Analysis or Data Science and how it relates to the role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Deepstreamtech
✨Know Your Deep Learning Inside Out
Make sure you brush up on your deep learning knowledge. Be prepared to discuss your past projects and how you've applied state-of-the-art ML techniques to solve complex problems. Highlight specific examples where you've taken research to production.
✨Showcase Your Coding Skills
Since coding is a big part of this role, practice coding challenges related to machine learning. Be ready to demonstrate your design skills and explain your thought process during the interview. It’s all about showing how you can translate theory into practical solutions.
✨Understand the Role of Simulation
Familiarise yourself with ultra-realistic AV simulations and the metrics used to measure their realism. Be prepared to discuss how you would design experiments to push the boundaries of simulation technology and how large models can enhance this process.
✨Emphasise Collaboration and Teamwork
This role involves working closely with teams, so be ready to talk about your experience in collaborative environments. Share examples of how you've worked with diverse teams to achieve common goals, especially in research engineering contexts.
