H Company
Research Scientist Intern (PhD) - Model Team - London
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Hybrid London
Employer listed it 8 months ago · Added 4 days ago
Been open since 8 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Hybrid London
Timezone
Not stated
Contract
Full-time
Experience
Entry
Category
Data
This employer didn't state pay. Jobs like this usually pay around $135k–$225k a year, a typical range taken from 578 data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Hybrid London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Hybrid London, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
PhD - Graduation/Final year Internships available in our Research lab .
What we're looking for:
PhD (completed or near completion) in Computer Science, Machine Learning, Mathematics, or a related field.
Published in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, ICCV, CoRL).
Strong research and/or research engineering experience at leading ML research labs.
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About our Team:
Our Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.
Research areas include: • Post-training & reinforcement learning, off-policy robustness • Self-verification and learning from feedback • Synthetic data generation at scale • Efficient reasoning • World modelling & Env generation
Alongside interesting research, you’ll enjoy a very high GPU-to-researcher ratio.
We are excited to tell you more !
Location:
London
What We Offer:
Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
Unlock opportunities for professional growth, continuous learning, and career development.
If you want to change the status quo in AI, join us.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
- ·Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
- ·Unlock opportunities for professional growth, continuous learning, and career development.
- ·If you want to change the status quo in AI, join us.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at H Company, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $135k–$225k · You'll be taken to the employer's careers page.