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- Tasks: Join a team to develop AI-powered creative tools and solve complex problems in computational creativity.
- Company: Leading applied research lab focused on innovative AI solutions.
- Benefits: Competitive salary, medical insurance, 401(k), and generous parental leave.
- Why this job: Make a real impact in the future of creativity with cutting-edge technology.
- Qualifications: Deep knowledge of ML, proficiency in PyTorch or JAX, and experience in creative applications.
- Other info: Relocation support available; we encourage diverse talent to apply!
This role is based in New York and will require relocation – sponsorship will be supported. We are partnered with an applied research lab that is building the future of AI‑powered creative tools – systems that turn cutting‑edge research into production‑ready technology that empowers creators worldwide. They are seeking exceptional talent across three specialist roles to help solve the hardest problems in computational creativity.
Opportunity 1: ML Engineer – Turn cutting‑edge research into production systems that generate creative content. You’ll build multi‑stage inference for video, text, images, audio and 3D with real‑time feedback and refinement. They are looking for:
- Deep knowledge of modern deep‑learning architectures, optimisation, and tooling.
- Proficiency in PyTorch or JAX.
- Experience designing, training, and evaluating deep learning systems.
- Breadth across ML literature beyond just generative models.
Opportunity 2: ML Research Scientist – Invent new methods to teach machines to be creative. You will invent new methods beyond pattern matching to build creative reasoning and artistic decision‑making and will build models that generalise and create across a variety of mediums. They are looking for:
- Ability to invent new methods from scratch, requiring deep knowledge of ML fundamentals (math, probability, optimisation) rather than just applying existing GenAI frameworks.
- PhD in Computer Science or Machine Learning preferred.
- Proven ability to advance the state of the art, evidenced by multiple peer‑reviewed papers at top venues like NeurIPS, ICML, ICLR, or AAAI.
Opportunity 3: ML Engineer/Research – Computer Vision (Generative Media) – Build CV systems that generate minutes of studio‑grade content and turn professional editing tools into model controls: relighting, grading, camera moves – all inside the generator. They are looking for:
- Broad knowledge of computer vision literature.
- Experience developing CV models for images and video.
Work at the intersection of art and technology. Access world‑class compute resources. Collaborate with leading researchers and artists. Ship systems that millions of creators will use to bring their visions to life. Will offer sponsorship for the right candidate.
We encourage under‑represented talent to apply to all our roles & support accessibility needs.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Research Services and Market Research
Benefits include medical insurance, vision insurance, 401(k), paid maternity leave, and paid paternity leave.
Machine Learning Engineer/Researcher in England employer: Primis
Contact Detail:
Primis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer/Researcher in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to machine learning. You never know who might have a lead on your dream job or can introduce you to someone at Primis Talent.
✨Show Off Your Skills
Create a portfolio showcasing your projects and research. Whether it's GitHub repos or a personal website, make sure to highlight your work with PyTorch or JAX. This is your chance to demonstrate your deep knowledge of ML architectures and optimisation!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML fundamentals and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and approach problems!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. And remember, even if you don’t meet every single requirement, we still want to hear from you. So go ahead and hit that apply button!
We think you need these skills to ace Machine Learning Engineer/Researcher in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your deep knowledge of modern deep-learning architectures and any relevant projects you've worked on. We want to see how you can turn cutting-edge research into production systems!
Showcase Your Projects: Include specific examples of your work with PyTorch or JAX, especially if you've designed, trained, or evaluated deep learning systems. This is your chance to shine, so don’t hold back on sharing your achievements with us!
Be Authentic: Don’t stress if you don’t meet every single requirement. If you feel you’re a fit for the role, go ahead and apply! We value diverse backgrounds and experiences, so let your unique perspective come through in your application.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and get the ball rolling on your potential future with us at StudySmarter!
How to prepare for a job interview at Primis
✨Know Your Stuff
Make sure you brush up on the latest deep learning architectures and tools like PyTorch or JAX. Be ready to discuss your experience with designing, training, and evaluating deep learning systems, as well as your understanding of the broader ML literature.
✨Showcase Your Creativity
Since this role is all about computational creativity, think of examples where you've invented new methods or solved complex problems in innovative ways. Prepare to discuss how you can apply your knowledge to create artistic decision-making models.
✨Prepare for Technical Questions
Expect some challenging technical questions that test your understanding of ML fundamentals, optimisation, and probability. Practise explaining complex concepts clearly and concisely, as you may need to demonstrate your thought process during the interview.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, their approach to AI-powered creative tools, and how they support innovation. This shows your genuine interest and helps you assess if it's the right fit for you.
