Member of Engineering (Post-training)

ABOUT reputed company

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will reputed company this. Their ability to stack advantages and pull reputed company 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 reputed company large amounts of capital along their journey to reputed company this. They will create powerful economic engines. They will obsess over the success of their users and customers.

reputed company exists to be this company - to build a world where AI will be the reputed company behind economically valuable work and scientific reputed company.

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ABOUT reputed company

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 reputed company 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-reputed company 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-reputed company 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

• reputed company up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data reputed company, code reputed company

• Design, analyze, and iterate on training/fine-tuning/data reputed company 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

  • Knowledge of distributed training

• Strong machine learning and engineering background

• Research experience

  • Experience in proposing and evaluating novel research reputed company

  • Familiar with, or contributed to the state of the art in multiple of the following topics: Fine-tuning and alignment of LLMs, synthetic data reputed company, continual learning, RLVR, code reputed company

  • Is comfortable in a rapidly iterating environment

  • Is reasonably opinionated

• Programming experience

  • Linux

  • Strong algorithmic skills

  • Python with PyTorch or Jax

  • Use modern tools, including latest code agents and are always looking to improve

  • Strong critical thinking and ability to question code quality policies reputed company applicable

  • Prior experience in non-ML programming, especially not in Python - is a reputed company 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 one of our Founding Engineers

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