Software Engineer Legal Privacy Risks
Software Engineer Legal Privacy Risks
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$ 300000 - 405000
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
The Tokens team is seeking a Legal & Privacy Risks Engineer to help manage the growing workload of legal and technical support requirements. In this role youll serve as a critical bridge between legal and technical teams both within and outside of Anthropic. Youll handle timesensitive requests build tooling to improve processes during quieter periods and provide technical expertise to support litigation efforts. This position requires strong engineering skills combined with exceptional communication abilities to translate complex technical concepts for nontechnical stakeholders.
Responsibilities:
- Act as a technical liaison between legal teams and engineering translating requirements and explaining technical concepts to nontechnical stakeholders
- Support litigation efforts by gathering organizing and analyzing relevant technical data
- Build tooling and automation to streamline future legal support requests
- Manage cloud infrastructure and data handling related to legal compliance
- Respond to timesensitive requests with thoroughness and accuracy
- Document technical processes for legal compliance purposes
- Work across the technology stack as needed to address diverse requirements
- Maintain and improve systems that support legal and compliance functions
- Collaborate with crossfunctional teams to ensure alignment on legal and technical requirements
- Identify opportunities to improve processes and tooling for future legal support work
You may be a good fit if you:
- Have strong engineering skills and technical problemsolving abilities
- Excel at communicating complex technical concepts to nontechnical audiences
- Have experience working in crossfunctional environments
- Have a systems thinking approach to understanding how projects fit together
- Are comfortable working in unstructured rapidlychanging situations
- Are willing to jump around the technology stack as needed
Strong candidates may also have:
- Experience with infrastructureascode platforms
- Background working with large datasets or data analysis
- Experience in a technical liaison role between engineering and nontechnical teams
- Knowledge of legal discovery processes or litigation support
- Background in building automation tools and improving processes
Deadline to apply:None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$300000 $405000 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
