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Anthropic
San Francisco, CA, United States
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the
Job Source: AnthropicADVANCED ENGINEERING GROUP PC
San Francisco, CA, United States
Anthropic’s Finetuning Infrastructure team builds the systems that support our large-scale distributed finetuning runs. As manager of the team, you’ll support a team of machine learning and distributed systems experts, with the goal of making these systems highly efficient, supporting fast iteration on model development, and evolving the infrastruc
Job Source: ADVANCED ENGINEERING GROUP PCKarkidi
San Francisco, CA, United States
As a Research Engineer or Research Scientist in Applied Finetuning, you will directly train the models we launch to the public via Claude.AI and our API. In this role, you will design and iterate on state-of-the-art finetuning techniques, such as Constitutional AI and RLHF, to train our production Claude models. You will implement new algorithms, r
Job Source: KarkidiAnthropic Limited
San Francisco, CA, United States
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the
Job Source: Anthropic LimitedAnthropic
San Francisco, CA, United States
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the
Job Source: AnthropicAnthropic Limited
San Francisco, CA, United States
About the role: You want to help construct and rapidly iterate on machine learning experiments to help us improve the behavior of powerful AI systems through finetuning. You care about making AI helpful, honest, and harmless, and are interested in shaping model behavior to be more aligned with human values and goals. You could describe yourself as
Job Source: Anthropic LimitedAnthropic
San Francisco, CA, United States
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the
Job Source: AnthropicKarkidi
San Francisco, CA, United States
You want to help construct and rapidly iterate on machine learning experiments to help us improve the behavior of powerful AI systems through finetuning. You care about making AI helpful, honest, and harmless, and are interested in shaping model behavior to be more aligned with human values and goals. You could describe yourself as both a scientist
Job Source: KarkidiSan Francisco, CA, United States
About the role
We are seeking an experienced Software Engineer to build the infrastructure technology that powers our Finetuning Services. The team's charter is to build APIs and scalable infrastructure to support finetuning of Anthropic’s world-class large language models. You will collaborate closely with experts in Anthropic’s research organization to generalize the finetuning techniques used to produce Anthropic’s models and make it widely applicable to a broad set of desired model refinements and input data streams, all while ensuring AI safety. You and the other software engineers on the Finetuning Services team will work together to ensure our finetuning services are performant, high quality, and highly scalable.
Responsibilities
Develop finetuning tools, which can be run at scale, on a wide variety of input data, while producing high quality results.
Collaborate with your engineering peers, and our product and research teams to define the finetuning feature set and API interfaces.
Deliver ship-quality code, on time, with clear communication about status, dependencies, and blockers.
Participate in the on-call rotation for your team; deliver code that is operationally ready, and exercise a high degree of customer focus in your work.
Participate in the hiring process by interviewing and attracting great candidates to Anthropic.
Commit to growing your development and technical skills. Bring a high degree of intellectual curiosity to the team.
Teach those around you to raise their level of knowledge in your areas of expertise.
Work to enhance Anthropic’s culture by exhibiting our core values.
You may be a good fit if you
5+ years engineering experience
2+ years of deep ML/AI engineering expertise, ideally with experience in large language models and finetuning techniques
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Enjoy pair programming and debugging as a way to learn and teach
Want to learn more about machine learning research
Have passion for building innovative AI products in a fast-paced, customer-focused environment
Are Committed to developing AI responsibly and safely
Strong candidates may also have experience with
Building and operating SaaS or PaaS offerings on public cloud infrastructure
High performance, large scale distributed systems
Kubernetes
Python
Machine learning
Implementing LLM finetuning algorithms, such as RLHF
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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Email Alert for Software Engineer, Finetuning Services Infrastructure jobs in San Francisco, CA, United States
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