Anthropic
- Research Operations Lead
Research Operations Lead
Operations · CA, United States of America
Job description
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
The role of Research Operations Lead within the Tokens team at Anthropic is to coordinate and enable our teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimize work on real world applications, cultivating an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams and team members, bringing clarity to ambiguity and providing stability during change. We continually deepen our domain knowledge, working alongside engineers, researchers, and product managers to execute on programs and projects within Anthropic.
The LLMO/Tokens team collaborates with product and research teams inside Anthropic to incubate groundbreaking research and deploy advanced machine learning algorithms to improve Alphabet products and services. This role will work closely with cross-functional teams to deliver research solutions across Anthropic. As a Research Operations Lead, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives.
Responsibilities:
- Lead and drive delivery of large cross functional programs (with sub projects) designed to achieve highly impactful applications of machine learning, keeping teams focused and productive
- Work with your program team to organize and optimize work into clear goals and objectives
- Track progress, maintain up-to-date information and relevant technical documentation, anticipate and propose solutions to issues and risks
- Partner closely with your engineering team lead as a strategic thought partner
- Facilitate conversations, meetings and opportunities for collaboration within Anthropic product teams, to drive the best outcomes; create connections and relationships
- Evaluate and improve processes, tools, templates and documentation for repeatability and sustainability
- Learn new business and technical skills quickly, adapt to changing environments while providing day-to-day coordination and quality assurance for projects and tasks
- Independently perform technical due diligence to evaluate engineering scope, establish milestones, timeframe, and engineering resourcing needs
You might be a good fit if you:
- Have extensive knowledge and expertise in program management, are able to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change
- Have the ability foster respect, inclusion, and collaboration when working with teams, and skilled in building relationships and fostering trust with a diverse group of people
- Have excellent communication skills, with the ability to distill complex ideas to their essence
- Are proactive about learning and acquiring knowledge to enhance your domain knowledge
- Hold a technical degree or equivalent working knowledge
- Have knowledge of or are curious to learn about AI / machine learning research
Strong candidates may also have:
- BS in a relevant technical field or equivalent experience
- Knowledge of the Search ecosystem.
- Solid understanding of machine learning fundamentals
The expected salary range for this position is:
Logistics
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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits - The following benefits are for our US-based employees:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits - The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
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.