Anthropic · 1 month ago
Research Engineer, Environment Scaling
Anthropic is a public benefit corporation dedicated to creating reliable and interpretable AI systems. They are seeking a Research Engineer for the Environment Scaling team, responsible for improving AI model intelligence through the creation of training environments and managing vendor relationships.
Artificial Intelligence (AI)SoftwareAgentic AIFoundational AIGenerative AIMachine Learning
Responsibilities
Improve and execute our fine-tuning strategies for adapting Claude to new domains and tasks
Manage technical relationships with external data vendors, including evaluation of data quality and reward design
Collaborate with domain experts to design data pipelines and evaluations
Explore novel ways of creating RL environments for high value tasks
Develop and improve QA frameworks to catch reward hacking and ensure environment quality
Partner with other RL research teams and product teams to translate capability goals into training environments and evals
Qualification
Required
Have experience with fine-tuning large language models for specific domains or real-world use cases and/or domain expertise in an area where we would like to make our models more useful
Have experience with reinforcement learning, reward design, or training data curation for LLMs
Are comfortable managing technical vendor relationships and iterating quickly on feedback
Find value in reading through datasets to understand them and spot issues
Have strong project management and interpersonal skills
Are passionate about making AI more useful and accessible across different industries
Are excited about a role that includes a combination of ML research, data operations, and project management
Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Preferred
Have experience training production ML systems
Be familiar with distributed systems and cloud infrastructure
Have domain expertise in an area where we would like to make our models more useful
Have experience working with external vendors or technical partners
Benefits
We offer competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space in which to collaborate with colleagues
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
Company
Anthropic
Anthropic is an artificial intelligence company that develops large language models and AI systems for business and research use.
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
12%
Represents job field similar to this job
Engineering and Development
Customer Service and Support
Accounting and Finance
Legal and Compliance
Management and Executive
Marketing
Sales
Product Management
Human Resources
Trends of Total Sponsorships
*2026 (81)
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$163.74BKey Investors
Apollo,Blackstone GroupAltimeter Capital,Capital Group,Coatue,D1 Capital Partners,Dragoneer Investment Group,GIC,Greenoaks,ICONIQ Capital,Sequoia Capital,XNGoogle
2026-06-09Debt Financing· $35B
2026-05-28Series H· $50B
2026-04-24Series H· $10B
Recent News
2026-07-11
Company data provided by crunchbase