Engineering Manager Safeguards Infrastructure
Engineering Manager Safeguards Infrastructure
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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 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
Anthropic is seeking an experienced Engineering Manager to join our Safeguards (Trust & Safety) team and lead a team of software engineers building infrastructure and tooling that powers our safety systems. In this role youll lead a team of engineers building the foundational infrastructure that enables Anthropic to build and maintain safe and responsible AI products.
Working closely with other policy engineering and machine learning teams youll be responsible for developing scalable systems that support our safety efforts while balancing immediate needs with longterm investments.
This role will demand of you thoughtful technical leadership and the ability to make strategic tradeoffs that serve both our current customers requirements and a future technical vision.
Key Responsibilities:
- Build and lead a team of highlyperforming software engineers building production infrastructure and tooling for Safeguards systems
- Help scale reliable systems that support the Trust & Safety operating loop of detection mitigation and measurement
- Work closely with Research ML engineers and Data scientists to build the primitives tools and infrastructure that allow them to go faster in service of building detection and response systems
- Collaborate with Safeguards Product Policy and Enforcement partners to build tools that streamline enforcement operations and build selfservice tools for both internal teams and external customers
- Coach and mentor team members in their career growth
Requirements:
- 8 years in an infrastructure product infrastructure or trust and safety team and 4 years in an engineering management role leading infrastructure or tooling teams building reliable scalable systems
- 2 years of experience managing senior and staff software engineers
- Experience in balancing speed and precision when evaluating technical tradeoffs in a fast growth setting
- Excellent leadership and communication skills with ability to work effectively across functions and an ability to communicate highly technical concepts to various stakeholders
- Strong proven people management skills in coaching recruiting and developing engineers
- Experience designing operational processes around oncall postmortems etc.
- Customer obsession both for external customers and internal teams using your systems
Strong Candidates May Also Have:
- Experience in adversarial environments such as Trust and Safety Integrity or Fraud detection (beneficial but not required)
- Background in building systems at scale with a focus on reliability and performance and deep knowledge of modern cloud infrastructure (GCP / AWS)
- Experience working directly with ML and Research engineering teams
Youll thrive in this role if youre passionate about building reliable infrastructure that keeps AI systems safe and believe deeply in the importance of developing responsible AI technologies.
The expected salary range for this position is:
Annual Salary:
GBP
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.
Required Experience:
Manager
Employment Type
Full Time
