3 дня назад
ML Research Engineer (AI)
220 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML Research Engineer (AI): Designing, training, and evaluating LLMs, diffusion models, and domain-specific architectures with an accent on scalable experimentation pipelines, distributed training, and multimodal AI. Focus on translating research papers into production-ready tools, optimizing data and training workflows, and building reproducible evaluation systems from zero to one.
Location: On-site in Mountain View, California, United States
Salary: $220,000–$300,000 USD annually plus equity
Company
is an AI data and evaluation company serving frontier AI labs.
What you will do
- Design, train, and evaluate LLMs, diffusion models, and domain-specific ML architectures.
- Develop scalable experimentation pipelines across data processing, model training, and evaluation.
- Collaborate with data and infrastructure teams to improve training throughput and data quality.
- Contribute to open research, internal benchmarks, and emerging multimodal and generative AI techniques.
- Prototype research insights and productionize them into usable tools and models.
- Set standards for research rigor, documentation, and reproducibility.
Requirements
- 3–10 years of experience in ML research, applied ML, or ML systems engineering.
- Hands-on expertise with PyTorch, JAX, or TensorFlow.
- Experience with Transformers, diffusion models, or RLHF.
- Strong foundations in data processing, distributed training, and evaluation metrics.
- Ability to translate research papers into working prototypes and production-ready code.
- Comfort building from zero to one in a fast-moving, unstructured startup environment.
Culture & Benefits
- Work directly with the founding team on foundational AI research infrastructure.
- Build systems at the intersection of applied machine learning and systems engineering.
- Equity offered.
- Visa sponsorship is not available.
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