5 дней назад
Senior AI Engineer, Post-Training (AI)
242 250 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer, Post-Training (AI/LegalTech): Post-training open-weight language models on proprietary legal data and building the agents, serving systems, and evaluation infrastructure that bring them into production with an accent on model development, data pipelines, and applied AI systems. Focus on designing training objectives, preference optimization and reinforcement learning, diagnosing distributed training runs, and co-designing models with legal workflows.
Location: San Francisco, California, or New York City, New York, United States
Salary: $242,250–$285,000 per year
Company
provides a connected platform and AI-native ecosystem for private capital, including equity management, fund administration, reporting, legal technology, and transaction workflows.
What you will do
- Post-train open-weight language models on proprietary legal data through data preparation, objective design, base-model selection, training, evaluation, and iteration.
- Apply supervised fine-tuning, preference optimization, reinforcement learning, and related post-training techniques.
- Build training datasets and data pipelines with labeling guidance, model-generated data, and human feedback from domain experts.
- Operate reliable training infrastructure and diagnose and optimize distributed training runs.
- Build and operate production systems for model serving, agents, evaluation pipelines, tools, and supporting infrastructure.
- Partner with product engineers, agent engineers, lawyers, and other domain experts on model and system design.
Requirements
- Hands-on experience with LLM post-training using PyTorch or equivalent frameworks.
- Understanding of model training, evaluation, inference, distributed training, and production AI infrastructure.
- Experience building agents, tools, services, and products around models that shipped to real users.
- Experience owning model development or post-training projects in applied AI, research, or adjacent engineering roles.
- Ability to make decisions about model selection, data, training objectives, evaluation, and agent or product architecture.
- Ability to work in San Francisco, CA, or New York City, NY.
Culture & Benefits
- Full-time roles include equity and exceptional benefits.
- Collaborative, cross-functional work across ML engineering, product, agent engineering, legal, and domain teams.
- Culture emphasizes helpfulness, persistence, unconventional thinking, kindness, and creating more owners in private markets.
- Equal opportunity employer committed to an accessible interview experience.
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