Research Engineer, Applied Finetuning - San Francisco, United States - Anthropic Limited

Description

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.

About the role

As a Research Engineer or Research Scientist in Applied Finetuning, you will directly train the models we launch to the public via Claude.

AI and our API.

In this role, you will design and iterate on state-of-the-art finetuning techniques, such as Constitutional AI and RLHF, to train our production Claude models.

You will implement new algorithms, run experiments on data mixes, design evaluations, and improve our production model training pipeline.

This role offers the opportunity to contribute to cutting-edge research while also having a direct and measurable impact on the company's success.

Responsibilities:
Implement and optimize finetuning pipelines to efficiently train production-scale language models with techniques like Constitutional AI
Develop novel prompts and prompting strategies to improve and test model behaviors
Collaborate with other research teams to translate novel finetuning techniques into our production model training process, ensuring models are helpful, honest, and harmless
Design and run a new evaluation that tests Claude's reasoning capabilities
Collaborate with a research team to develop a robust evaluation for a new model capability they are developing
Stay current with state-of-the-art research in AI and machine learning, and propose ways to apply these advancements to production systems
You may be a good fit if you:

Have significant Python programming experience and machine learning experience
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair)
Want to learn more about machine learning research
Care about the societal impacts of your work
Have clear written and verbal communication
Strong candidates may also have experience with:

Fine-tuning large language models with supervised learning or reinforcement learning
Complex shared codebases and RL infrastructure
Authoring research papers in machine learning, NLP, or AI alignment or similar industry experience

Deadline to apply:
None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:
$280,000

—

$485,000 USD
Logistics

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.

US visa sponsorship:

We do sponsor visas However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support.

But if we make you an offer, we will make every effort to get you into the United States, 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.

Compensation and Benefits*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 higherthanaverage equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits

• The following benefits are for our USbased employees:

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

• The following benefits are for our UKbased employees:

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).
21 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.

• This compensation and benefits information is based on Anthropic's good faith estimate for this position as of the date of publication and may be modified in the future.

Employees based outside of the UK or US will receive a different benefits package.

The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

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.

We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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 based 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.

Are you open to working in-person in one of our offices 25% of the time?

• When is the earliest you would want to start working with us?

Do you have any deadlines or timeline considerations we should be aware of?

AI Policy for Application

While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process.

We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills.

Please indicate 'Yes' if you have read and agree.

• Why do you want to work at Anthropic? (We value this response highly great answers are often words.)

Will you now or in the future require visa sponsorship for employment at Anthropic?

• Are you legally authorized to work in the country in which the job you are applying for is located?
• If you're not already based in one of our hub cities, are you willing to relocate? (Check all that apply)

If you're not already based in one of our hub cities, are you willing to relocate? (Check all that apply)
Yes, to the San Francisco Bay Area
Yes, to Seattle
Yes, to New York City
Yes, to London
No. I am open to hybrid roles, but not roles that require relocation.
I already live in one of your hub cities.

Additional Information
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For government reporting purposes, we ask candidates to respond to the below self-identification survey.
Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

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.

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As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA.

Classification of protected categoriesis as follows:
A "disabled veteran" is one of the following: a veteran of the U.S.

military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S.

military, ground, naval, or air service.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S.

military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S.

military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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