Expression of Interest Research Scientist​/Engineer, Alignment Finetuning

About Anthropic

Anthropic’s 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.

As a Research Scientist/Engineer on the Alignment Fine tuning team at Anthropic, you'll lead the development and implementation of techniques aimed at training language models that are more aligned with human values: that demonstrate better moral reasoning, improved honesty, and good character. You ll work to develop novel fine tuning techniques and to use these to demonstrably improve model behavior.

• Develop and implement novel fine tuning techniques using synthetic data generation and advanced training pipelines
• Use these to train models to have better alignment properties including honesty, character, and harmlessness
• Create and maintain evaluation frameworks to measure alignment properties in models
• Collaborate across teams to integrate alignment improvements into production models
• Develop processes to help automate and scale the work of the team

• Have an MS/PhD in Computer Science, ML, or related field, or equivalent experience
• Possess strong programming skills, especially in Python
• Have experience with ML model training and experimentation
• Have a track record of implementing ML research
• Demonstrate strong analytical skills for interpreting experimental results
• Have experience with ML metrics and evaluation frameworks
• Excel at turning research ideas into working code
• Can identify and resolve practical implementation challenges

• Experience with language model fine tuning
• Background in AI alignment research
• Published work in ML or alignment
• Experience with synthetic data generation
• Familiarity with techniques like RLHF, constitutional AI, and reward modeling
• Track record of designing and implementing novel training approaches
• Experience with model behavior evaluation and improvement

The expected salary range for this position is:

Annual Salary:

$280,000—$425,000 USD

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.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term 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.

We re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact 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: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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.