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Researcher, Models (UK)

Join Cartesia as a Researcher in London to advance AI through innovative neural network architecture design.

Location
London
Compensation
Not disclosed
Level
senior
Type
full time ยท On-site

Posted by employer 11 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Cartesia → Save job Scanned from cartesia.ai

Requirements

Education
PhD
Visa
Sponsorship available

Not disclosed in this posting: compensation, years of experience.

Benefits

Meals & Snacks 401(K) Flexible PTO Commuter Allowance Health Insurance Parental Leave

Joblaze summary

In this role, the researcher focuses on advancing neural network architecture design to enhance the efficiency and adaptability of AI models across various environments. Key skills include expertise in state space models, transformers, and a strong grasp of system constraints related to deployment. This position is ideal for experienced professionals with a solid research background in machine learning and a track record of innovation in architecture design. Cartesia's collaborative environment emphasizes rapid execution and a commitment to cutting-edge AI development.

Joblaze insights

Quick facts

Is the Researcher, Models (UK) role remote?
No โ€” this is an on-site role in London.
Where is the role based?
Cartesia is hiring for this position in London.
What's the tech stack?
Joblaze extracted these technologies from the posting: CNN, PyTorch, RNN, TensorFlow, Transformers, state space models.
Does Cartesia sponsor work visas for this role?
Yes โ€” the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Cartesia targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Researcher, Models (UK) role at Cartesia.

From the original posting

About Cartesia

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

Weโ€™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

๐Ÿข In-office policy: Weโ€™re an in-person team based out of offices in ๐Ÿ‡บ๐Ÿ‡ธ San Francisco, ๐Ÿ‡ฌ๐Ÿ‡ง London and ๐Ÿ‡ฎ๐Ÿ‡ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.

๐ŸŒŽ 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.

๐Ÿšข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโ€™t sacrifice quality or design along the way.

๐Ÿค We support each other. We have an open & inclusive culture thatโ€™s focused on giving everyone the resources they need to succeed.

Our Benefits (US Employees Only)

๐Ÿ’ฐ Compensation Competitive base salary alongside attractive equity package.

๐Ÿฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.

๐Ÿง‘โ€๐Ÿง‘โ€๐Ÿง’โ€๐Ÿง’ Parental Leave 9 weeks paternity & 12 weeks maternity leave

๐Ÿฆ 401(k)

๐Ÿš† Commuter Allowance A monthly stipend to help you get to and from the office.

๐Ÿ–๏ธ Flexible PTO Take as much time as you need to recharge your batteries.

๐Ÿฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.

๐Ÿฆ– 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.

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