Software Engineer Account Abuse
Software Engineer Account Abuse
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 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 Account Abuse team is tasked with ensuring Anthropics computing capacity is allocated fairly minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team you will build systems that gather and analyze signals at scale balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents perspectives understand their means and motives and anticipate their responses to countermeasures.
Responsibilities:
- Ability to think and respond quickly in a rapidlychanging greenfield environment
- Jumping into other teams code to identify key points to gather signals or introduce interventions with minimal impact on their systems stability complexity or overall architecture
- Integration with thirdparty dataenrichment vendors
- Creating monitoring dashboards alerts and internal admin UX
- Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends and with our Policy & Enforcement team to maximize the impact of their humanreview availability
- Building robust and reliable multilayered defenses
You may be a good fit if you have:
- A Bachelors degree in Computer Science Software Engineering or comparable experience
- 310 years of experience in a software engineering position preferably with a focus on integrity spam fraud or abuse detection.
- Proficiency in Python SQL and data analysis tools.
- Strong communication skills and ability to explain complex technical concepts to nontechnical stakeholders
Strong candidates may also:
- Have experience building trust and safety mechanisms for and using AI/ML systems such as frauddetection models or security monitoring tools or the infrastructure to support these systems at scale
- Have worked closely with operational teams to build custom internal tooling
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
