4 часа 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) (LLM research): Building large language models from scratch for research, engineering, and trading workflows with an accent on pretraining, post-training, evaluation, and inference. Focus on designing impactful ablations, driving frontier capability gains, and deploying models into live trading.
Location: London, United Kingdom, or New York, NY, United States
Base salary: USD 200,000–300,000 per year, plus discretionary performance-based bonuses and a competitive benefits package.
Company
applies scientific methods and sophisticated computing infrastructure to algorithmic trading.
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 experiments and ablations that guide research decisions and produce frontier capability gains.
- Deploy research code and models across the firm in collaboration with engineering, hardware, and systems teams.
- Operate independently within a small, focused AI research team.
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 promising research directions, design decision-changing ablations, and update conclusions based on evidence.
- Strong engineering skills in GPU kernel development, lower-level PyTorch internals, or frontier-style LLM research.
Culture & Benefits
- Access to advanced research clusters with a high GPU-to-researcher ratio.
- Support from dedicated engineering, hardware, and systems teams.
- Open and transparent environment with significant researcher independence and minimal bureaucracy.
- Collaborative culture that values diverse expertise, new ideas, and togetherness.
- Competitive benefits package and discretionary performance-based bonuses.
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