1 час назад
Machine Learning Engineer (AI)
200 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI): Building and deploying interpretable AI systems, training and evaluation tooling, and scalable ML infrastructure with an accent on model interpretability, distributed systems, and production reliability. Focus on optimizing pipelines for frontier model training and inference, integrating research workflows into products, and ensuring reproducible, high-performance systems.
Location: San Francisco, CA or New York, NY; in person 5 days a week, with one company-wide remote week per month
Salary: $200,000–$400,000 USD per year, plus equity and benefits
Company
is a public benefit research company developing interpretable AI systems to make advanced models understandable, debuggable, safer, and more useful.
What you will do
- Turn cutting-edge interpretability research into production-ready tools.
- Build tools and infrastructure for understanding and intentionally designing AI models at industry scale.
- Extend and support training infrastructure for large training runs.
- Optimize pipelines and infrastructure for model interpretability, training, and inference.
- Integrate machine learning workflows into products and deploy them to customers.
- Ensure system reliability, reproducibility, and performance.
Requirements
- 5+ years of experience in ML infrastructure, research engineering, or systems programming.
- Ability to work across research and engineering boundaries.
- Expertise in Python, PyTorch or JAX, and distributed systems.
- Experience deploying and maintaining machine learning systems at scale.
- Interest in understanding how models work internally and using that understanding to improve reliability and usefulness.
Nice to have
- Open-source ML infrastructure contributions.
- Startup or frontier lab experience in fast-moving teams.
Culture & Benefits
- Mission- and team-oriented working environment.
- Strong ownership, initiative, and continuous improvement are expected.
- Fast-paced organization focused on meaningful technical challenges.
- Market-competitive salary, equity, and competitive benefits.
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