Research Counsel
Research Counsel
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$ 240000 - 300000
1 Vacancy
Job Description
About Anthropic
Anthropics 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 member of the Research Counsel function youll advise on data acquisition and risk mitigation and be a subject matter expert on copyright privacy and related issues pertaining to data used to develop frontier AI models. Youll also support our Frontier RedTeaming Policy and Societal Impacts teams to ensure safe responsible AI development. The ideal candidate will have experience navigating complex legal challenges at the intersection of machine learning data acquisition and content usage in a fastmoving technical environment.
Responsibilities:
- Advise various research teams on permissible data usage and partner with them on our data sourcing strategy monitoring regulatory developments related to AI training data and adapt internal policies and practices proactively
- Translate data needs between research teams and Legal & Policy stakeholders
- Engage with academics industry groups and other stakeholders to develop norms and best practices around data governance for AI development
- Support Anthropics Frontier RedTeaming team to advance their research on AI safety and model vulnerabilities including advising on vendor engagements external collaborations and data usage
- Counsel the Societal Impacts team to support our efforts to understand the impact of AI on society including advising on data usage and sharing and publications
You may be a good fit if you:
- Have a JD and active membership in at least one U.S. state bar (California preferred)
- Have 510 years of legal experience advising on copyright privacy data and related issues for technology companies or AI/ML products (inhouse experience preferred)
- Are a creative practical problem solver with a passion and capacity for translating and applying legal requirements to technical concepts related to model development. You understand the importance of enabling innovation while developing responsibly and mitigating risks
- Have experience advising on legal issues for AI products or services and academic research and knowledge of the machine learning development lifecycle
- Have excellent written communication skills with the ability to draft clear policies whitepapers and other content. You enjoy engaging with stakeholders to evangelize best practices
- You understand how to achieve the right balance between the organizations mission and goals when to be flexible and when to draw a hard line
- You enjoy wearing many hats in a fastgrowing startup environment and are comfortable operating outside your areas of expertise and in uncharted legal territory
- You are a doer and are willing to roll up your sleeves to get things done. Youre a team player who doesnt hesitate to jump in to solve difficult problems
Strong candidates may also have:
- Inhouse or similar experience at a global law firm
- Experience in a tech company or other fastpaced environment
Deadline to apply:None. Applications will be reviewed on a rolling basis.
Rolespecific policy: For this role we expect all staff to be able to work from our San Francisco office at least 3 days a week though we encourage you to apply even if you might need some flexibility for an interim period of time.
The expected salary range for this position is:
Annual Salary:
$240000 $300000 USD
Logistics
Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.
Locationbased 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 were different
We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm 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. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highestimpact 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: GPT3 CircuitBased 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.
Employment Type
Full Time
