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- Tasks: Lead innovation in data adaptation and improve data quality for AI.
- Company: Join a cutting-edge tech company focused on adaptable intelligence.
- Benefits: Competitive salary, equity, learning budget, medical benefits, and generous PTO.
- Why this job: Make a real impact in AI research and development at an early-stage company.
- Qualifications: Expertise in model efficiency, programming skills in Python, and systems thinking.
- Other info: Dynamic startup environment with high ownership and career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Data Adaptation Research Engineer role at Adaption.
About Us
We believe the future is adaptable, and not one‑size‑fits‑all. We will lead in real‑time efficient adaptation that combines algorithm with innovative interface design. Our global team—based in SF and beyond—brings together top talent in AI innovation. Backed by world‑class investors, we're building Adaptable Intelligence.
The Role
We believe one of the most profound paradigm shifts is allowing for malleable data spaces, and adaptation of data on the‑fly for better optimization. We are obsessed with efficiency—allowing for real‑time evolution of AI depends on making adaptable data and algorithms extremely efficient. We co‑design our algorithms with hardware requirements and serving in mind. We treat data as a first‑class citizen and are obsessed with algorithms that enable better data quality for modeling the world around us. Every person from the most senior to the most junior inspects the data at every stage and knows what datasets fuel the algorithms.
Responsibilities
- Innovation: take a leading role on our focused bets on data adaptation, including innovating on algorithmic recipes that result in large improvements in data quality, downstream performance, and data efficiency.
- Research & Development: explore new research directions in data adaptation across modalities and data for different stages of the life cycle. This role is at the intersection of cutting‑edge AI research and practical application, focusing on studying the adaptable data strategies critical for real time intelligence.
- Hands‑on Impact: explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Adaptable Labs to drive innovation. This position requires creativity in addressing novel challenges related to data, interaction, and evaluation.
Qualifications
- Deep expertise in at least one area: model efficiency, distributed systems, hardware acceleration, or algorithmic optimization.
- Systems thinking ability to understand and optimize across the full ML stack.
- Strong programming skills in Python, with experience using deep learning frameworks (PyTorch, JAX, TensorFlow).
- Knowledge of model optimization techniques (RLHF, fine‑tuning).
- Experience in an industry lab with computing at scale (a plus).
- Nice to have: Experience in a fast‑paced startup environment.
What We Offer
- Competitive salary + meaningful equity.
- Learning and development budget.
- Medical benefits and generous PTO.
- High ownership and career‑defining impact at an early‑stage company.
Seniority Level: Entry level
Employment Type: Full‑time
Job Function: Engineering and Information Technology
Industries: Technology, Information and Internet
Data Adaptation Research Engineer employer: Adaption
Contact Detail:
Adaption Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Adaptation Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Adaption. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a project or a portfolio that highlights your expertise in data adaptation or algorithmic optimisation, make sure to share it during interviews or networking events.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding deep learning frameworks. Practice coding challenges that focus on model efficiency and algorithm optimisation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Data Adaptation Research Engineer
Some tips for your application 🫡
Show Your Passion for Adaptability: When writing your application, let us see your enthusiasm for adaptable data and AI innovation. Share any personal projects or experiences that highlight your interest in real-time data adaptation and how it can lead to better outcomes.
Tailor Your Skills to the Role: Make sure to align your skills with the qualifications we’re looking for. If you’ve got expertise in model efficiency or algorithmic optimisation, don’t be shy—show us how your background fits perfectly with our mission at Adaptation.
Be Creative and Authentic: We love creativity! Use your application to showcase your unique approach to problem-solving. Whether it’s through a project or an innovative idea, let your personality shine through while keeping it relevant to the role.
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 the Data Adaptation Research Engineer role. Plus, it’s super easy!
How to prepare for a job interview at Adaption
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithmic optimization and model efficiency. Be ready to discuss specific techniques you've used in the past, especially in Python with frameworks like PyTorch or TensorFlow. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Creativity
Since the role involves addressing novel challenges, think of examples where you've had to innovate or adapt data strategies. Prepare to share how you approached these challenges creatively, as this will demonstrate your problem-solving skills and ability to think outside the box.
✨Understand the Data Landscape
Familiarise yourself with the concept of adaptable data spaces and how they can impact AI performance. Be prepared to discuss how you would approach data quality and efficiency in real-time applications, as this aligns closely with what the company is looking for.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future directions in data adaptation. This shows your genuine interest in their work and helps you gauge if the company culture and goals align with your own aspirations.
