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For Companies At a Glance
- Tasks: Develop cutting-edge motor policies and lead innovative AI research.
- Company: Join a leading tech recruitment firm focused on IT & Engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI with your deep learning expertise and creativity.
- Qualifications: 3+ years in deep learning with hands-on experience in VLMs or generative models.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a Senior Deep Learning Engineer to build the future of Embodied AI. This is a role for those who work 'in the weeds' of model architecture and training loops, not API wrappers or prompt engineers.
The Mission
- Architect Behavior: Own the development of motor policies using Behavior Cloning and RL.
- Scale VLA Research: Lead pre/post-training on our Vision-Language-Action (VLA) stack.
- Engineered Data: Build automated pipelines to ingest teleop logs/synthetic data, apply weak-supervision, and curate high-quality datasets.
- Failure Analysis: Systematically identify and solve failure modes through retraining loops.
Technical Requirements
- Experience: 3+ years in deep learning (shipped models, research papers, or major OSS).
- Domain Depth: Hands-on expertise in VLMs, Diffusion/Generative Video, or LLM Pre-training.
- Frameworks: Mastery of Python and PyTorch or JAX.
- Systems: Experience with distributed training and complex numerical debugging.
Senior Deep Learning Engineer in City of London employer: Randstad Digital
Contact Detail:
Randstad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Deep Learning Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects, especially those involving VLMs or generative models. We want to see your work in action, so don’t be shy about sharing your GitHub or any relevant research papers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Senior Deep Learning Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deep learning and showcases any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back on those juicy details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Embodied AI and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role dives deep into model architecture and training loops, make sure to highlight your mastery of Python, PyTorch, or JAX. Include specific examples of your work with VLMs or generative models to really impress us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Randstad Digital
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning knowledge, especially around model architecture and training loops. Be ready to discuss your past projects, the models you've shipped, and any research papers you've contributed to. This is your chance to show off your expertise!
✨Get Familiar with VLA and Failure Analysis
Since the role involves working with Vision-Language-Action stacks and failure analysis, dive deep into these topics. Prepare examples of how you've tackled failure modes in previous projects and be ready to explain your thought process during retraining loops.
✨Show Off Your Technical Skills
You’ll need to demonstrate your mastery of Python and frameworks like PyTorch or JAX. Consider preparing a small coding challenge or discussing a complex numerical debugging scenario you've faced. This will help you stand out as a candidate who can handle the technical demands of the role.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions about their current projects, team dynamics, or future goals in Embodied AI. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
