Poolside
Member of Engineering (Post-training)
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 5 months ago · Added 2 days ago
Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Europe
Timezone
CET ±2
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $165k–$255k a year, a typical range taken from 594 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Remote (EMEA/East Coast), Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
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
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 frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
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 would be working as part of our Applied Research team, focused on turning pre-trained LLMs into well-aligned and highly capable AI systems for coding and software development. This is a hands-on role where you'll work across a variety of efforts, including: Building data pipelines and environments for agentic use cases, researching and implementing post-training algorithms, designing experiments and testing hypothesis, and more. You will have access to thousands of GPUs in this team.
YOUR MISSION
To turn pre-trained LLMs into well-aligned and highly capable AI systems.
RESPONSIBILITIES
Research and experiment on ways to specialize foundational models to agentic use cases
Build and maintain data and training pipelines
Keep up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data generation, code generation
Design, analyze, and iterate on training/fine-tuning/data generation experiments
Write high-quality, pragmatic code
Work as part of a team: plan future steps, discuss, and communicate clearly with your peers
SKILLS & EXPERIENCE
Experience with Large Language Models (LLM)
Deep knowledge of Transformers
Strong deep learning fundamentals
Good taste in data
Post-training experience with LLMs
Extensively used and probed LLMs, familiarity of their capabilities and limitations
Requirements
- ·Experience with Large Language Models (LLM)
- ·Deep knowledge of Transformers
- ·Strong deep learning fundamentals
- ·Good taste in data
- ·Post-training experience with LLMs
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
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Poolside, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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