Role at a glance
- Salary
- $405K/yr
- Location
- CA | New York City, New York, United States San Francisco, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- at least 2 years
- Education
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Visa support
- We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.
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Role Summary
The Research Tools team builds systems supporting large-scale, distributed fine-tuning runs and improving researcher productivity. This manager role leads machine learning and distributed systems experts while partnering with research, product, and infrastructure teams to improve training infrastructure and accelerate model development.
What You'll Do
- Prioritize the team’s work with the technical lead, research teams, and product teams to support research projects and training runs.
- Design postmortem review, incident response, and on-call rotation processes.
- Coach and support reports in understanding and pursuing their professional growth.
- Run the team’s recruiting efforts and support team growth.
- Incorporate research innovations into the production fine-tuning pipeline and improve the efficiency of training runs and data pipelines.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: Experienced manager with at least 2 years of experience; interest in helping ensure advanced AI transformation goes well; ability to understand complex technical systems at a high level; bachelor’s degree or equivalent education, training, and/or experience in a field relevant to the role.
Required
- Experienced manager with at least 2 years of experience
- People management
- Ability to understand complex technical systems at a high level
- Bachelor’s degree or equivalent combination of education, training, and/or experience
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Preferred
- Experience working with research teams, especially as part of a research to production pipeline
- Coaching, performance evaluation, mentorship, and career development
- Project prioritization and communication across team or organizational boundaries
- Recruiting experience, including predicting staffing needs, designing interview loops, evaluating candidates, and closing them
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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:
Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances.
Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible.
About Anthropic:
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product.
Responsibilities:
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Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs.
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Design processes (e.g., postmortem review, incident response, on-call rotations) that help the team operate effectively.
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Coach and support your reports to understand and pursue their professional growth.
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Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth.
You may be a good fit if you:
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Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well.
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Are an experienced manager (at least 2 years) and actively enjoy people management.
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Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective.
Strong candidates may also have:
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Experience working with research teams, especially as part of a “research to production” pipeline
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Strong people management experience: Coaching, performance evaluation, mentorship, career development
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Strong project management skills: Prioritization, communicating across team/org boundaries
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Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
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
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About the company
Anthropic
Startup
Anthropic is an artificial intelligence safety and research company founded in 2020, dedicated to advancing AI technology while prioritizing ethical considerations and safety measures. The organization focuses on developing AI systems that are interpretable, reliable, and aligned with human values. With a team of experts in machine learning, philosophy, and policy, Anthropic aims to address the challenges posed by increasingly sophisticated AI, fostering a responsible approach to technology that can benefit society as a whole.
Anthropic is an artificial intelligence safety and research company founded in 2020, dedicated to advancing AI technology while prioritizing ethical considerations and safety measures. The organization focuses on developing AI systems that are interpretable, reliable, and aligned with human values. With a team of experts in machine learning, philosophy, and policy, Anthropic aims to address the challenges posed by increasingly sophisticated AI, fostering a responsible approach to technology that can benefit society as a whole.