Job Information
Anthropic PBC Applied Safety Research Engineer, Safeguards in San Francisco, California
Responsibilities:
Design and run experiments to improve evaluation qualitydeveloping methods to generate representative test data, simulate realistic user behavior, and validate grading accuracy
Research how different factors (multi-turn conversations, tools, long context, user diversity) impact model safety behavior
Analyze evaluation coverage to identify gaps and inform where we need better measurement
Productionize successful research into evaluation pipelines that run during model training, launch and beyond.
Collaborate with Policy and Enforcement to translate real-world harm patterns into measurable evaluations
Build tooling that enables policy experts to create and iterate on evaluations
Surface findings to research and training teams to drive upstream model improvements
You may be a good fit if you:
Have 4+ years of software engineering or ML engineering experience
Are proficient in Python and comfortable working across the stack
Have experience building and maintaining data pipelines
Are comfortable with data analysis and can draw insights from large datasets
Have experience with LLMs and understand their capabilities and failure modes
Can move fluidly between prototyping and production-quality code
Are excited by ambiguous problems and can translate them into concrete experiments
Care deeply about AI safety and want your work to have real impact
Strong candidates may also have experience with:
Red teaming, adversarial testing, or jailbreak research on AI systems
Building or contributing to LLM evaluation frameworks or benchmarks
Trust and safety, content moderation, or abuse detection systems
Synthetic data generation or data augmentation
Distributed systems or large-scale data processing
Prompt engineering or LLM application development
The annual compensation range for this role is below. For sales roles, the range provided is the roles On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.
Annual Salary:
$320,000-$405,000USD
Logistics
Education requirements:We require at least a Bachelor's degree in a related field or equivalent experience.**
Location-based 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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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.