Member of Engineering (Multimodality - Research Lead)
- Role
- AI / ML
- Experience
- Lead
- Employment
- Full-time
Open to GB only. Set where you work from to check your eligibility.
No BS summary
Research/engineering lead for multimodal frontier coding models, focused on image input and VLM training. Needs production-grade VLM training experience, strong LLM training fundamentals, distributed training at scale, and Python. Remote role with applicant location requirement stated as United Kingdom.
Core skills
Required skills
ABOUT POOLSIDE
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the open-weight frontier models that power them.
ABOUT OUR TEAM
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We're in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we've assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
ABOUT THE ROLE
You'll build a new team from the ground up, owning multimodality at Poolside: teaching our frontier coding model to see. Multimodality is becoming increasingly important in frontier models, and this is a chance to shape this capability in Poolside’s models from an early stage. To deliver it, you'll draw on our powerful model factory, thousands of GPUs, and our strong research team.
The near-term focus is image input — the capability most useful to SWE and general agents — reading a design and speccing it out, writing and verifying the code that makes that design real, understanding the plots and diagrams in a paper. You'll set the technical direction, starting with pragmatic adapter-based approaches and evolving toward native multimodality over time. You'll partner closely with across teams inside Applied Research, and work in a newly-formed team alongside one of our talented founding engineers to bootstrap our multimodality efforts.
YOUR MISSION
To bring multimodality to Poolside's models, starting with image input and building toward native multimodal understanding.
RESPONSIBILITIES
- Own Poolside's multimodality direction and capability adoption
- Ship our first image-input capabilities
- Chart and drive the path from adapter-based to native multimodality
- Collaborate on custom evaluations and datasets for multimodal SWE capabilities
- Run experiments end to end: hypothesis, implementation, training at scale, analysis
- Partner with evals, architecture, data, and post-training teams to land multimodality in Poolside models
SKILLS & EXPERIENCE
- Experience in end-to-end training of production-grade VLMs
- Strong LLM training fundamentals: transformers and distributed training at scale
- Strong Python programming skills
- Pragmatic and high-ownership: you reach for the simplest thing that works and thrive in greenfield ambiguity
Nice to have:
- Leadership and 0-1 experience, especially with substantial breadth, ownership, and hands-on contributions
- Distinguished research background on VLMs or multimodal models
- Understanding of the challenges of native multimodality
- Experience building agentic computer use systems
PROCESS
- Intro call with one of our Co-Heads of Applied Research
- Technical Interviews with Founding Engineers and Members of Engineering
- Team fit call with the People team
- Final interview with our Co-CEO and Co-Founder, Eiso
BENEFITS
- Fully remote work & flexible hours
- 37 days/year of vacation & holidays
- Health insurance allowance for you & dependents
- 16 weeks of flexible, full-pay parental leave
- Well-being, always-be-learning & home office allowances
- Company-provided equipment
- Frequent team get togethers
- Diverse & inclusive people-first culture
What you'll do
- Own Poolside's multimodality direction and capability adoption
- Ship Poolside's first image-input capabilities
- Chart and drive the path from adapter-based to native multimodality
- Collaborate on custom evaluations and datasets for multimodal SWE capabilities
- Run experiments end to end: hypothesis, implementation, training at scale, analysis
- Partner with evals, architecture, data, and post-training teams to land multimodality in Poolside models
What they require
- Experience in end-to-end training of production-grade VLMs
- Strong LLM training fundamentals: transformers and distributed training at scale
- Strong Python programming skills
- Pragmatic and high-ownership; reaches for the simplest thing that works and thrives in greenfield ambiguity
- Preferred: Leadership and 0-1 experience, especially with substantial breadth, ownership, and hands-on contributions
- Preferred: Distinguished research background on VLMs or multimodal models
- Preferred: Understanding of the challenges of native multimodality
- Preferred: Experience building agentic computer use systems
Benefits
- Fully remote work and flexible hours
- 37 days/year of vacation and holidays
- Health insurance allowance for you and dependents
- 16 weeks of flexible, full-pay parental leave
- Well-being allowance
- Always-be-learning allowance
- Home office allowance
- Company-provided equipment
- Frequent team get togethers
- Diverse and inclusive people-first culture
Poolside builds AI systems for software development, including agentic systems, coding assistants, and frontier models deployed into development environments of security-conscious enterprises.