Anthropic · 8 hours ago
Machine Learning Systems Engineer, RL Engineering
San Francisco, CA
Full-time
Hybrid
Mid Level
$500K/yr - $850K/yr
4+ years expAnthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. The Machine Learning Systems Engineer will work on the Reinforcement Learning Engineering team, responsible for developing and improving algorithms and infrastructure that support AI model training, ultimately enhancing AI capabilities and safety.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Build, maintain, and improve the algorithms and systems that researchers use to train models
Improve the speed, reliability, and ease-of-use of these systems
Profile our reinforcement learning pipeline to find opportunities for improvement
Build a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline
Make changes to our finetuning systems so they work on new model architectures
Build instrumentation to detect and eliminate Python GIL contention in our training code
Diagnose why training runs have started slowing down after some number of steps, and fixing it
Implement a stable, fast version of a new training algorithm proposed by a researcher
Qualification
Required
4+ years of software engineering experience
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
Preferred
High performance, large scale distributed systems
Large scale LLM training
Python
Implementing LLM finetuning algorithms, such as RLHF
Benefits
Equity and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
501-1000 employees
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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
CEO & Co-Founder
Daniela Amodei
President and co-founder
Recent News
2026-01-17
2026-01-17
Company data provided by crunchbase