3 дня назад
Senior / Staff Machine Learning Research Scientist, Agents (AI)
302 400 - 378 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior / Staff Machine Learning Research Scientist, Agents (AI): Researching the data, environments, reward signals, and evaluation methods needed to build state-of-the-art autonomous agents with an accent on LLM agents, planning algorithms, and browser and software-engineering agents. Focus on prototyping and debugging practical ML systems, designing agent evaluations, publishing research, and translating advances into scalable tools and solutions.
Salary: $302,400–$378,000 USD per year, plus potential equity and benefits.
Company
Scale AI develops data, evaluation, and full-stack technologies that support reliable AI systems and applications for enterprises and governments.
What you will do
- Research data types and programs for advanced autonomous agents, including browser and software-engineering agents.
- Study agent environments, reinforcement learning reward signals, and evaluation methods.
- Benchmark autonomous agent performance across real-world scenarios, code repositories, graphical interfaces, and browsers.
- Build tools and frameworks for evaluating language models as agents.
- Prototype research ideas and translate them into scalable solutions with engineering and customer research teams.
- Contribute to research publications on AI agents.
Requirements
- Practical experience working with large language models and machine learning research or product development.
- Proficiency with at least one of PyTorch, JAX, or TensorFlow.
- Ability to interpret research literature and quickly turn ideas into working prototypes.
- Published research in leading machine learning venues such as ACL, EMNLP, NeurIPS, ICML, ICLR, or COLM.
- At least three years of experience solving sophisticated machine learning problems.
- Strong written and verbal communication skills with the ability to work cross-functionally.
Nice to have
- Experience fine-tuning open-source or bespoke large language models.
- Experience building or evaluating tool-use, text-to-SQL, browser, coding, or graphical user interface agents.
- Experience with agent frameworks such as OpenHands, Swarm, or LangGraph.
- Familiarity with agentic reasoning methods such as STaR and PLANSEARCH.
- Experience with AWS or GCP and machine learning development in cloud environments.
Culture & Benefits
- Health, dental, and vision coverage.
- Retirement benefits and generous paid time off.
- Learning and development stipend.
- Potential commuter stipend and equity compensation for eligible roles.
- Inclusive equal-opportunity workplace with reasonable accommodation support.
Hiring process
- Research interviews assess practical machine learning prototyping and debugging skills, research knowledge, and organizational alignment.
- No LeetCode-style questions are used.
- Candidates must wait 90 days before being reconsidered for the same role.
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