At a Glance
- Tasks: Innovate algorithms for real-time adaptation and collaborate across tech domains.
- Company: Dynamic AI company focused on building efficient, adaptable intelligence.
- Benefits: Flexible work, travel stipend, lunch allowance, and comprehensive medical benefits.
- Other info: Join a team of builders and thinkers ready to shape the future of AI.
- Why this job: Make a real-world impact with cutting-edge AI technology and creative collaboration.
- Qualifications: PhD or equivalent experience in computer science and strong programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Our Research Principles
- Sweat the details. Technical excellence requires obsessing over every detail. We co-design serving, algorithms, and interface as one system to maximize efficiency and enable real-time adaptation.
- Move with conviction. Extraordinary results require extraordinary effort. We operate with urgency as a unified team, concentrating resources on a few high-conviction bets where research and impact intersect.
- Metrics that matter. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. Research ideas are tested through working products. If it doesn't improve what users can do, we question whether it matters. We share what moves the field; we don't optimize for paper count.
The Role
This is a research role which is focused on real world impact. We care about building our frontier innovation around efficiency, gradient-free exploration, real‑time learning and interface design. A revolution is underway where the cost of generating synthetic data is now low enough that we can treat the data space as malleable and something which can be optimized. We can steer synthetic data towards desirable properties and make previously invisible worlds with limited data coverage more visible. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. This means for the first time researchers who care about intelligence need also be obsessed with how a model interacts. If any of these statements resonate with you, we would like to hear from you.
Responsibilities
- Innovation: innovate on our product to co‑design algorithms that react real‑time to product signal and feedback. Design new ways of giving feedback that drive better algorithms.
- Cross‑Stack Optimization: collaborate across software, hardware, and algorithmic domains to achieve system‑wide efficiency gains.
- Measure what matters: we believe strongly that the ultimate signal of value is whether we have real‑world impact. Our current algorithms are capable of interacting with the world which is why product matters so much.
Qualifications
- A PhD or equivalent research experience in a computer science field.
- 4–5+ years of industry experience.
- Deep expertise in at least one area: model efficiency, real‑time alignment, or algorithmic optimization.
- Systems thinking ability to understand and optimize across the full ML stack.
- Strong programming skills in Python.
- Experience with deep learning frameworks (PyTorch, JAX, TensorFlow).
- Knowledge of model optimization techniques (RLHF, finetuning).
- Experience in an industry lab with computing at scale.
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
About Us
Most AI is frozen in place – it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real‑time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible – it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Benefits
- Flexible work: In‑person collaboration in the Bay Area, a distributed global‑first team, and team offsites.
- Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
- Lunch Stipend: Weekly meal allowance for take‑out or grocery delivery.
- Well‑Being: Comprehensive medical benefits and generous paid time off.
Research Scientist / Research Engineer employer: Adaption
As a Research Scientist or Engineer at our innovative company, you'll be part of a dynamic team dedicated to real-world impact through cutting-edge AI research. We offer a flexible work environment in the Bay Area, fostering collaboration and creativity, alongside unique benefits like an annual travel stipend and a weekly lunch allowance. With a strong focus on employee growth and well-being, we empower our team to push boundaries and explore new horizons in their professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist / Research Engineer
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Adaption, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Adaption. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Scientist / Research Engineer
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Adaption. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Adaption. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Adaption
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Adaption. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Adaption to drive research projects forward.
