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For Companies At a Glance
- Tasks: Build cutting-edge Vision-Language-Action models for robotics and collaborate on innovative projects.
- Company: Join a pioneering tech company focused on Physical AI in Paris or London.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on quality and creativity.
- Why this job: Make a real impact in robotics and AI while working with passionate experts.
- Qualifications: 5+ years in machine learning, strong Python skills, and a passion for innovation.
The predicted salary is between 54000 - 84000 £ per year.
What You'll Do
- Build Vision-Language-Action models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments.
- Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets.
- Curate the world’s best Internet-scale datasets for embodied perception and first-person robot video generation.
- Design new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions.
- Collaborate with a team of driven individuals committed to building general-purpose Physical AI.
What You'll Bring
- Passion for your craft and demonstrated excellence in full-stack foundation model research and engineering.
- Exceptional ownership and initiative—finding and solving problems independently.
- Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications or impactful projects (5+ years).
- A relentless commitment to data and code quality, rigorous evaluation, and meticulous attention to detail.
- Production-level expertise in modern Python.
- Bonus: Experience with Vision-Language-Action models for robotics or web agents, embodied perception, or video generation.
Member of Technical Staff, Foundations (Paris, London) employer: Genesis AI
Contact Detail:
Genesis AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff, Foundations (Paris, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Vision-Language-Action models or robotics. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common interview questions and coding challenges relevant to machine learning and robotics. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you on board!
We think you need these skills to ace Member of Technical Staff, Foundations (Paris, London)
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for the role! Share your experiences and projects that highlight your love for full-stack foundation model research and engineering. We want to know what drives you!
Be Specific About Your Experience: When detailing your background, focus on your extensive experience in machine learning. Mention specific projects or publications that showcase your skills and how you've tackled challenges in the past. We appreciate clarity and detail!
Highlight Collaboration Skills: Since we value teamwork, make sure to mention any collaborative projects you've worked on, especially those involving robotics or data curation. Show us how you’ve contributed to a team and what you learned from those experiences.
Tailor Your Application: Take the time to customise your application for this role. Use keywords from the job description and align your skills with what we’re looking for. Remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Genesis AI
✨Know Your Stuff
Make sure you’re well-versed in Vision-Language-Action models and the latest trends in robotics. Brush up on your Python skills and be ready to discuss your past projects or publications that showcase your expertise.
✨Show Your Passion
During the interview, let your enthusiasm for machine learning and robotics shine through. Share specific examples of how you've taken initiative in your previous roles and how you’ve tackled challenges head-on.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Prepare to explain your approach to data curation, model architecture, and evaluation methods. Practise articulating complex concepts clearly and concisely.
✨Collaborative Mindset
Since collaboration is key, be ready to discuss how you’ve worked with cross-functional teams in the past. Highlight your ability to communicate effectively and contribute to a team environment, especially in high-stakes projects.