At a Glance
- Tasks: Research and develop machine learning tools for cutting-edge chip design verification.
- Company: Dynamic deep-tech startup focused on transforming integrated circuit verification.
- Benefits: Competitive salary, bonuses, equity, and flexible remote/hybrid work options.
- Other info: Join a small, senior team with direct access to customers and exciting projects.
- Why this job: Make a real impact in silicon with high autonomy and visible results.
- Qualifications: PhD in Machine Learning, strong Python skills, and experience in research and implementation.
The predicted salary is between 60000 - 80000 £ per year.
I’m working with a deep‑tech startup specialising in machine learning, building next‑generation tools to transform how complex integrated circuits are verified. Their technology accelerates simulation coverage and reduces tapeout risk — giving chip design teams a step‑change in capability. This is a high‑impact opportunity for a Machine Learning Researcher who wants high‑autonomy and for their research to matter in silicon.
What They’re Looking For
- Degree in Physics/Engineering/Electronics and a PhD in Machine Learning
- Strong Python + PyTorch/JAX skills
- Publication record in ML or EDA venues
- Ability to move between research and implementation
- Clear communication across ML and circuit‑design audiences
- Experience modelling dynamic systems
- Familiarity with SPICE data and analogue circuits
- Knowledge of behavioural modelling languages or EDA tools
- Startup or applied‑research experience
Why Consider It
- Competitive salary, bonus, and meaningful equity
- Flexible remote/hybrid working with London/Cambridge/Oxford bases
- Direct access to real customers testing your models on real silicon
- Small, senior team where your work ships and has visible impact
Please contact Chris Amison for more information.
Machine Learning Researcher employer: IC Resources
Join a pioneering deep-tech startup that is at the forefront of machine learning innovation, where your contributions as a Machine Learning Researcher will directly influence the future of integrated circuit verification. Enjoy a competitive salary, flexible remote/hybrid working options, and the unique opportunity to see your research come to life on real silicon, all within a small, dynamic team that values autonomy and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher
✨Tip Number 1
Network like a pro! Reach out to folks in the machine learning and semiconductor space on LinkedIn. Join relevant groups and engage in discussions; you never know who might have a lead on that perfect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and PyTorch/JAX. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your research and how it applies to real-world problems, especially in circuit design. Clear communication is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and any relevant projects you've worked on. We want to see how your skills in Python and PyTorch/JAX shine through, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for the role. Explain why you’re excited about working with deep-tech startups and how your research can make a real impact in silicon. Keep it engaging!
Showcase Your Publications:If you've got a publication record in ML or EDA venues, make sure to include it! This is a great way to demonstrate your expertise and commitment to the field. We love seeing your work out there!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get your journey started!
How to prepare for a job interview at IC Resources
✨Know Your Stuff
Make sure you brush up on your Python and PyTorch/JAX skills before the interview. Be ready to discuss your past projects and how you've applied machine learning in real-world scenarios, especially in relation to integrated circuits.
✨Showcase Your Research
Prepare to talk about your publication record and any relevant research you've conducted. Highlight how your work has contributed to the field of machine learning or electronic design automation (EDA) and be ready to explain complex concepts in a way that’s accessible to both ML and circuit-design audiences.
✨Demonstrate Flexibility
This role requires moving between research and implementation, so be prepared to discuss examples where you've successfully navigated this transition. Share experiences that showcase your adaptability and how you’ve tackled challenges in a startup or applied-research environment.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s technology and future projects. This shows your genuine interest in their work and gives you a chance to demonstrate your knowledge about SPICE data, analogue circuits, and behavioural modelling languages.
