Researcher: Model Architecture, UK
Researcher: Model Architecture, UK

Researcher: Model Architecture, UK

City of London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Conduct groundbreaking research in neural network architecture design and develop innovative models.
  • Company: Join a pioneering AI startup with a collaborative and inclusive culture.
  • Benefits: Enjoy free meals, comprehensive health insurance, and relocation support.
  • Why this job: Make a real impact in the AI field while working with cutting-edge technologies.
  • Qualifications: Deep expertise in architecture design and strong programming skills in deep learning frameworks.
  • Other info: Dynamic environment with opportunities for rapid innovation and career growth.

The predicted salary is between 36000 - 60000 £ per year.

Overview

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About Cartesia

Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device. We\\\’re pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We\\\’re funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We\\\’re fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world\\\’s foremost experts in AI.

Role Responsibilities

We’re opening our first ever office in Europe, and looking to hire incredible talent in London to advance our mission of building real-time multimodal intelligence.

  • Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures).
  • Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.
  • Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization.
  • Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency.
  • Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings.
  • Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications.

What You\\\’ll Bring

  • Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).
  • Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.
  • Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text).
  • Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models.
  • A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures.
  • Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement.
  • Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance.

Nice-to-Haves

  • Prior research or publications in state space models, efficient Transformers or other alternative architectures.
  • Research or practical experience in designing architectures for multi-modal systems.
  • Early-stage startup experience or a track record of rapid innovation in R&D environments.

Our culture

🏢 We’re an in-person team based out of San Francisco, Bangalore & London. We love being in the office, hanging out together and learning from each other everyday.

🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality and design along the way.

🤝 We support each other. We have an open and inclusive culture that’s focused on giving everyone the resources they need to succeed.

Our perks

🍽 Lunch, dinner and snacks at the office.

🏥 Fully covered medical, dental, and vision insurance for employees.

🏦 Pension Plan.

✈️ Relocation and immigration support.

🦖 Your own personal Yoshi.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Research, Analyst, and Information Technology
  • Industries
  • Software Development

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London, England, United Kingdom 3 days ago

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Researcher: Model Architecture, UK employer: Cartesia

At Cartesia, we are committed to fostering a dynamic and innovative work environment in our new London office, where groundbreaking research in AI model architecture thrives. Our culture prioritises collaboration, inclusivity, and rapid execution, ensuring that every team member has the resources and support needed to excel. With exceptional benefits including comprehensive health coverage, a pension plan, and a vibrant office atmosphere filled with shared meals and camaraderie, we offer an unparalleled opportunity for personal and professional growth in the heart of one of the world's leading tech hubs.
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Contact Detail:

Cartesia Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Researcher: Model Architecture, UK

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 job.

Tip Number 2

Prepare for those interviews by practising common questions and showcasing your expertise in model architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.

Tip Number 3

Showcase your passion for AI and model innovation during interviews. Share your thoughts on the latest trends and how you can contribute to Cartesia's mission. We want to see your enthusiasm and creativity shine through!

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, we love seeing candidates who are proactive about joining our team.

We think you need these skills to ace Researcher: Model Architecture, UK

Neural Network Architecture Design
State Space Models
Transformers
RNN Variants
CNN Variants
Model Quality Improvement
Inference Efficiency
Adaptability in Deployment Environments
Long-Range Memory
Generative Modelling Paradigms
Analytical Skills
Problem-Solving Skills
Deep Learning Frameworks (PyTorch, TensorFlow)
Performance Profiling Tools
Research Track Record in ML/AI

Some tips for your application 🫡

Show Off Your Expertise: When you're writing your application, make sure to highlight your deep expertise in architecture design. We want to see your experience with advanced architectures like state space models and transformers, so don’t hold back on those details!

Tailor Your Application: Make your application stand out by tailoring it to our mission at Cartesia. Mention how your skills and experiences align with our goal of building real-time multimodal intelligence. This shows us you’re genuinely interested in what we do!

Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to break down your achievements and skills—this helps us see your strengths quickly!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values.

How to prepare for a job interview at Cartesia

Know Your Models

Make sure you brush up on the latest advancements in model architectures, especially state space models and efficient Transformers. Be ready to discuss your own research or projects that relate to these topics, as it shows you're not just familiar with the theory but also how it applies in practice.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex problems in your previous work. Highlight your analytical skills and how you've iteratively refined your approaches. This will demonstrate your ability to think critically and adapt, which is crucial for the role.

Understand Deployment Environments

Familiarise yourself with the constraints and considerations of deploying models in both cloud and on-device environments. Be prepared to discuss how architectural decisions can impact scalability and efficiency, as this knowledge is key to succeeding in the role.

Collaborate and Communicate

Since the role involves working with cross-functional teams, practice articulating your ideas clearly and concisely. Think about how you can convey complex concepts in a way that's accessible to team members from different backgrounds. This will show that you're a team player who values collaboration.

Researcher: Model Architecture, UK
Cartesia
Location: City of London
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  • Researcher: Model Architecture, UK

    City of London
    Full-Time
    36000 - 60000 £ / year (est.)
  • C

    Cartesia

    50-100
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