обновлено 1 месяц назад
AI Researcher, LLMs
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Researcher, LLMs (LLMs): Building large language models from scratch across tokenizer training, dataset curation, pretraining, post-training, evaluation, inference, and live trading with an accent on frontier capability gains and large-scale model development. Focus on designing decision-changing ablations, analyzing evidence statistically, and shipping distributed training and inference systems.
Location: London, United Kingdom or New York, United States
Salary: $200,000–$300,000 base per year, plus discretionary performance-based bonuses and benefits.
Company
applies scientific research and sophisticated computing to algorithmic trading and financial products.
What you will do
- Develop large language models from scratch for research, engineering, and trading workflows.
- Work across tokenizer training, dataset curation and mixing, pretraining, post-training, evaluation, inference, and live trading.
- Design research directions, ablations, and experiments that drive frontier capability gains.
- Build and ship code for model training, evaluation, and deployment.
- Collaborate with engineering, hardware, and systems teams using large-scale research clusters.
Requirements
- At least two years of hands-on experience training, post-training, or evaluating LLMs at scale.
- Direct experience with large-scale pretraining, post-training such as SFT or RL, LLM evaluation design and statistical analysis, or distributed training and inference systems.
- Ability to identify high-impact research directions, design decision-changing ablations, and update conclusions based on evidence.
- Strong engineering skills in GPU kernel development, lower-level PyTorch internals, or published frontier-style LLM research.
Culture & Benefits
- Work in a small, focused team with significant research independence and minimal bureaucracy.
- Access state-of-the-art research clusters with a high GPU-to-researcher ratio.
- Receive support from experienced engineering, hardware, and systems teams.
- Join a collaborative culture that values openness, transparency, diverse expertise, and impactful ideas.
- Competitive benefits package and eligibility for discretionary performance-based bonuses.
Hiring process
- AI tools are prohibited during interviews or assessments unless explicitly permitted.
- Candidate responses may be evaluated for authenticity; unauthorized AI assistance can lead to disqualification or offer withdrawal.
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