Anthropic
Research Engineer / Scientist, Model Welfare
Anthropic, San Francisco, California, United States, 94199
About Anthropic
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements. 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.
About the role As a Research Engineer/Scientist within the newly formed Model Welfare program, you will be among the first to work to better understand, evaluate, and address concerns about the potential welfare and moral status of AI systems. You are curious about the intersection of machine learning, ethics, and safety and are adept at navigating technical and philosophical uncertainty. You’ll run technical research projects to investigate model characteristics of plausible relevance to welfare, consciousness, or related properties and will design and implement low-cost interventions to mitigate the risk of welfare harms. Your work will often involve collaboration with other teams, including Interpretability, Finetuning, Alignment Science, and Safeguards.
Note: We expect this role to be based in the San Francisco office.
Investigate and improve the reliability of introspective self-reports from models
Collaborate with Interpretability to explore potentially welfare-relevant features and circuits
Improve and expand our welfare assessments for future frontier models
Evaluate the presence of potentially welfare-relevant capabilities and characteristics as a function of model scale
Develop strategies for making high-trust/verifiable commitments to models
Explore possible interventions and deploy them into production (e.g. allowing models to end harmful or distressing interactions)
You may be a good fit if you…
Have significant applied software, ML, or research engineering experience
Have experience contributing to empirical AI research projects and/or technical AI safety research
Can reliably turn abstract theories into creative, tractable research hypotheses and experiments
Prefer to move fast and iterate rather than run long extensive projects
Are excited to dive into new technical areas on a regular basis
Care about the possible impacts of AI development on humans and the AI systems themselves
Strong candidates may also…
Have authored research papers in machine learning, NLP, AI safety, interpretability, and/or LLM psychology and behavior
Be familiar with moral philosophy, cognitive science, neuroscience, or related fields (however, such experience will not substitute for technical research engineering skills)
Be effective science communicators with a track record of public communication
Have strong project management skills
Candidates need not have:
100% of the skills needed to perform the job
Formal certifications or education credentials (please ignore the education requirements below the Logistics heading)
The expected salary range for this position is:
$315,000 - $340,000 USD
Logistics Education requirements:
We require at least a Bachelor\u2019s 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.
EEO notice:
Anthropic is an equal employment opportunity employer. As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
How we\'re different 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.
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. We encourage you to apply if you are interested in building your career at Anthropic.
#J-18808-Ljbffr
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements. 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.
About the role As a Research Engineer/Scientist within the newly formed Model Welfare program, you will be among the first to work to better understand, evaluate, and address concerns about the potential welfare and moral status of AI systems. You are curious about the intersection of machine learning, ethics, and safety and are adept at navigating technical and philosophical uncertainty. You’ll run technical research projects to investigate model characteristics of plausible relevance to welfare, consciousness, or related properties and will design and implement low-cost interventions to mitigate the risk of welfare harms. Your work will often involve collaboration with other teams, including Interpretability, Finetuning, Alignment Science, and Safeguards.
Note: We expect this role to be based in the San Francisco office.
Investigate and improve the reliability of introspective self-reports from models
Collaborate with Interpretability to explore potentially welfare-relevant features and circuits
Improve and expand our welfare assessments for future frontier models
Evaluate the presence of potentially welfare-relevant capabilities and characteristics as a function of model scale
Develop strategies for making high-trust/verifiable commitments to models
Explore possible interventions and deploy them into production (e.g. allowing models to end harmful or distressing interactions)
You may be a good fit if you…
Have significant applied software, ML, or research engineering experience
Have experience contributing to empirical AI research projects and/or technical AI safety research
Can reliably turn abstract theories into creative, tractable research hypotheses and experiments
Prefer to move fast and iterate rather than run long extensive projects
Are excited to dive into new technical areas on a regular basis
Care about the possible impacts of AI development on humans and the AI systems themselves
Strong candidates may also…
Have authored research papers in machine learning, NLP, AI safety, interpretability, and/or LLM psychology and behavior
Be familiar with moral philosophy, cognitive science, neuroscience, or related fields (however, such experience will not substitute for technical research engineering skills)
Be effective science communicators with a track record of public communication
Have strong project management skills
Candidates need not have:
100% of the skills needed to perform the job
Formal certifications or education credentials (please ignore the education requirements below the Logistics heading)
The expected salary range for this position is:
$315,000 - $340,000 USD
Logistics Education requirements:
We require at least a Bachelor\u2019s 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.
EEO notice:
Anthropic is an equal employment opportunity employer. As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
How we\'re different 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.
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. We encourage you to apply if you are interested in building your career at Anthropic.
#J-18808-Ljbffr