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 role:
As a Technical Program Manager for Research, you'll drive initiatives focused on post-training research activities. You'll work closely with research teams and engineering to coordinate large-scale training workflows and improve infrastructure for reinforcement learning and other post-training techniques. This role is critical in orchestrating complex training runs that enhance model capabilities and driving technical improvements to our research infrastructure.
Responsibilities:
- Partner with researchers and engineers to understand and execute training plans
- Lead reinforcement learning infrastructure initiatives, coordinating between technical teams to improve efficiency, reliability, and scalability across all post-training workflows
- Build and maintain relationships with research teams to deeply understand their technical requirements, dependencies, and constraints
- Lead meetings and program reviews for post-training workstreams, ensuring alignment and progress across technical teams
- Facilitate coordination between research teams working on various aspects of model training
- Partner with engineers to implement and drive adoption of research tooling
- Maintain comprehensive documentation of research outcomes and collaborate with product managers to ensure research advancements are effectively communicated across the organization
- Provide detailed status reports, identifying technical risks, dependencies, and areas requiring additional support
You may be a good fit if you:
- Have several years of experience in technical program management, with a track record of successfully delivering complex technical programs, preferably in AI development, ML engineering, or related fields
- Have experience executing technical programs that require systems and engineering-level knowledge.
- Are comfortable diving deep into technical details of model training while maintaining a high-level view of program status
- Have strong communication skills and can effectively engage with both technical and non-technical stakeholders
- Are familiar with machine learning concepts
- Are highly organized and can manage multiple parallel research workstreams effectively
- Thrive in unstructured environments, and have a knack for bringing order to chaos.
- Have a high threshold for navigating ambiguity and are able to balance setting strategic priorities with rapid, high-quality execution.
- Have a track record of building trust with technical teams and driving change through influence
The expected salary range for this position is:
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
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