Machine Learning Engineer, Trust & Safety

Anthropic Limited
New York, NY, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$300,000
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Extract Transform Load (ETL) Data Mining Python (Programming Language) Machine Learning Language Modeling Tensorflow SQL Databases Reinforcement Learning Pytorch
+2 more
Scikit Learn Machine Learning Operations

Job description

We are looking for ML engineers to help build safety and oversight mechanisms for our AI systems. As a Trust and Safety Machine Learning Engineer, you will work to train models which detect harmful behaviors and help ensure user well-being. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies., * Build machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production system

  • Improve our automated detection and enforcement systems as needed
  • Analyze user reports of inappropriate accounts and build machine learning models to detect similar instances proactively
  • Surface abuse patterns to our research teams to harden models at the training stage

Requirements

  • Have 4+ years of experience in a data scientist, research scientist, or research/ML engineering position, preferably with a focus on trust and safety.
  • Have proficiency in SQL, Python, and data analysis/data mining tools.
  • Have proficiency in building trust and safety AI/ML systems, such as behavioral classifiers or anomaly detection.
  • Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
  • Care about the societal impacts and long-term implications of your work.

Preferred Experience

  • Have experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
  • Have experience with full stack engineering to build internal tooling
  • Have experience with high performance, large-scale ML systems
  • Have experience with language modeling with transformers
  • Have experience with reinforcement learning
  • Have experience with large-scale ETL

Benefits & conditions

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

On top of this position’s salary (listed above), 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

  • Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
  • 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

  • Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
  • Private health, dental, and vision insurance for you and your dependents.
  • Pension contribution (matching 4% of your salary).
  • 22 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.

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