Researcher, Models (UK)

Mat Vin; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Health Insurance

Commuter allowance

Flexible PTO

Meals & snacks

Visa sponsorship support

Job summary

Cartesia seeks a world-class ML architect to lead research on state space models, transformers, and related architectures. You will explore statefulness, conditioning, and memory to push real-time multimodal intelligence from cloud to device, collaborating across teams in a fast-growing startup environment.

The role requires a PhD or equivalent experience, a track record of impactful publications, and proficiency in PyTorch/TensorFlow.

Qualifications

• PhD in ML/AI or equivalent research experience.
• Strong publications in top ML/AI venues (e.g., NeurIPS/ICML/ICLR/CVPR).
• Experience researching or deploying advanced architectures (state space, transformers, RNN/CNN).
• Experience with multi-modal architectures and deployment constraints (cloud/edge).
• Proficient in Python and DL frameworks; ability to profile model performance.

Responsibilities

• Conduct groundbreaking research in neural network architecture design to advance state-of-the-art in alternative architectures.
• Design novel architectures to improve model quality, inference efficiency, and adaptability across deployment environments.
• Explore capabilities like statefulness, long-range memory, and conditioning mechanisms.
• Investigate how architectural decisions impact scalability, robustness, latency, and energy efficiency.
• Develop evaluation frameworks and tools for benchmarking research and production systems.
• Collaborate with cross-functional teams to translate research into scalable systems.

Skills

Architecture design

State space models

Transformers

RNN variants

CNN variants

On-device deployment

Multimodal architectures

Generative modeling

Statefulness & conditioning

PyTorch

TensorFlow

Model profiling

Education

PhD in ML/AI or related field

Tools

PyTorch

TensorFlow

Job description

Our mission is to architect AI that learns from and interacts with the world like humans do.

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.

About the Role

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.

Your Impact

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 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.

More Details

In‑office policy: We’re an in‑person team based out of offices in San Francisco, London and Bangalore. We love being in the office, hanging out together, and learning from each other every day.

Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case‑by‑case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can’t always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.

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 or design along the way.

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

Our Benefits (US Employees Only)

Compensation Competitive base salary alongside attractive equity package.

Health Insurance Fully covered medical insurance along with dental and vision for you and your family.

Commuter Allowance A monthly stipend to help you get to and from the office.

Flexible PTO Take as much time as you need to recharge your batteries.

Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.

Your own personal Yoshi

Our Commitment to Equal Opportunity

Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

Sector: AI/ML

Amsterdam, Netherlands, Ireland, Dublin, Ireland, Netherlands