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 a competitive salary, 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 the AV industry.
- Qualifications: 5+ years in Deep Learning, coding skills, and experience in data analysis or data science.
The predicted salary is between 70000 - 90000 € 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) employer: Deepstreamtech
As a Staff Machine Learning Engineer at our innovative 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 work culture that encourages creativity and professional growth, offering ample opportunities for skill development and career progression. Located in the vibrant tech hub of Oxford, our company provides a unique environment where cutting-edge research meets practical application, making it an exceptional place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Machine Learning Engineer (Simulation)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working on AV simulations or deep learning. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning and data analysis. This is your chance to demonstrate how you've taken research to production and solved complex problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding and design skills. Practice solving real-world problems using state-of-the-art ML techniques, as this will be crucial in impressing your potential employers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates who are eager to join our collaborative research engineering team. Your next big opportunity could be just a click away!
We think you need these skills to ace Staff Machine Learning Engineer (Simulation)
Some tips for your application 🫡
Showcase 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 and taken research to production, so don’t hold back!
Be Specific About Your Skills:When you mention your expertise in Data Analysis or Data Science, give us concrete examples. We love details that show how you've used state-of-the-art ML techniques in real-world scenarios.
Tailor Your Application:Take a moment to tailor your application to the job description. Mention how your background aligns with our goals in ultra-realistic AV simulations and how you can contribute to our collaborative team.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Deepstreamtech
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning knowledge. Be ready to discuss your past projects and how you've applied state-of-the-art ML techniques to solve complex problems. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Coding Skills
Since coding is a big part of this role, be prepared to demonstrate your design skills. Bring examples of your code or projects where you've taken research to production. Practising coding challenges beforehand can really help you feel more confident.
✨Understand AV Simulations
Familiarise yourself with ultra-realistic autonomous vehicle simulations. Know the metrics used to measure realism and be ready to discuss how you would design experiments to push the boundaries in this area. Showing genuine interest in their work will definitely set you apart!
✨Collaborative Mindset
This role involves working closely with teams, so highlight your collaborative experiences. Share examples of how you've worked with diverse teams in the past and how you contributed to hiring outstanding talent. They’ll appreciate a team player who values collaboration!
