Назад
3 дня назад

Senior / Staff Machine Learning Research Scientist, Agents (AI)

302 400 - 378 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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