Member of Engineering (Fine-tuning)

poolside; United Kingdom; Remote; GBP 70,000 - 90,000; Full time

Job summary

A tech company in the United Kingdom seeks an Applied Researcher to enhance pre-trained LLMs for coding applications. This remote role requires expertise in large language models, machine learning, and programming. The ideal candidate will lead research, build data pipelines, and collaborate with a diverse team. Benefits include flexible hours and a supportive culture.

Benefits

Fully remote work & flexible hours

37 days/year of vacation & holidays

Health insurance allowance

Company-provided equipment

Wellbeing allowance

Frequent team get-togethers

Qualifications

• Deep knowledge of Transformers.
• Strong deep learning fundamentals.
• Fine-tuning experience with LLMs.

Responsibilities

• Research and experiment on ways to specialize foundational models.
• Build and maintain data and training pipelines.
• Design, analyze, and iterate on training experiments.

Skills

Experience with Large Language Models (LLM)

Strong machine learning and engineering background

Research experience

Programming experience in Python with PyTorch or Jax

Job description

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.

ABOUT OUR TEAM

We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.

Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.

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 for coding use cases, researching and implementing fine-tuning algorithms, training reward models, 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 coding 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
  • Fine-tuning experience with LLMs
  • Extensively used and probed LLMs, familiarity of their capabilities and limitations
  • Knowledge of distributed training
• Strong machine learning and engineering background
• Research experience
  • Experience in proposing and evaluating novel research ideas
  • Familiar with, or contributed to the state of the art in multiple of the following topics: Fine-tuning and alignment of LLMs, synthetic data generation, continual learning, RLHF, code generation
  • Is comfortable in a rapidly iterating environment
  • Is reasonably opinionated
• Programming experience
  • Linux
  • Strong algorithmic skills
  • Python with PyTorch or Jax
  • Use modern tools and are always looking to improve
  • Strong critical thinking and ability to question code quality policies when applicable
  • Prior experience in non-ML programming, especially not in Python - is a nice to have

PROCESS

• Intro call with one of our Founding Engineers
• Technical Interview(s) with one of our Founding Engineers
• Team fit call with the People team
• Final interview with Eiso, our CTO & Co-Founder

BENEFITS

• Fully remote work & flexible hours
• 37 days/year of vacation & holidays
• Health insurance allowance for you and dependents
• Company-provided equipment
• Wellbeing, always-be-learning and home office allowances
• Frequent team get togethers
• Great diverse & inclusive people-first culture