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- Tasks: Innovate AI systems that adapt in real-time and enhance user interaction.
- Company: Join a forward-thinking tech company focused on evolving intelligence.
- Benefits: Flexible work, travel stipend, lunch allowance, and comprehensive medical benefits.
- Why this job: Shape the future of AI with impactful research and creative collaboration.
- Qualifications: PhD or equivalent experience in computer science and strong programming skills.
- Other info: Dynamic team culture that values bold ideas and adaptability.
The predicted salary is between 36000 - 60000 £ per year.
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.
Our research principles guide how we work and what we value in our approach to building intelligent systems:
- 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.
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.
Benefits:
- Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and quarterly 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 employer: Adaption
Contact Detail:
Adaption Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and research. This is your chance to demonstrate your expertise in model efficiency and algorithmic optimisation, so let your work speak for itself!
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. Understand their approach to real-time learning and system-wide efficiency gains. We want to see how you can contribute to their vision of building intelligent systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team and pushing the boundaries of AI together.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and real-time learning shine through. We want to see how your experiences align with our vision of building flexible and efficient intelligence.
Be Specific About Your Skills: Highlight your expertise in model efficiency, algorithmic optimisation, or any relevant programming skills. We love details, so don’t hold back on showcasing your technical prowess and how it can contribute to our mission.
Connect Your Experience to Our Values: Make sure to tie your past experiences to our research principles. Whether it's sweating the details or moving with conviction, show us how you embody these values in your work.
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’re considered for this exciting opportunity to shape the future of intelligence.
How to prepare for a job interview at Adaption
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially around real-time adaptation and model efficiency. Be ready to discuss your past projects and how they align with the company's vision of building intelligent systems that evolve.
✨Show Your Passion for Innovation
This role is all about pushing boundaries, so come prepared with bold ideas! Think about how you can innovate on existing algorithms or design new feedback mechanisms. Share your thoughts on what could drive better algorithms and how you envision real-world impact.
✨Demonstrate Systems Thinking
Be ready to talk about how you approach problems across the full ML stack. Highlight any experiences where you collaborated across software, hardware, and algorithmic domains to achieve efficiency gains. This will show that you understand the bigger picture.
✨Be Adaptable and Team-Oriented
The company values great teammates who make work feel lighter. Share examples of how you've adapted to challenges in the past and how you foster collaboration within a team. Emphasise your willingness to go out on a limb with creative solutions.
