Anthropic · San Francisco, CA
Staff+ Software Engineer, Claude Science
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 ...
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
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century
of scientific progress into a decade. Claude Science is a big part of building toward that future.
Claude Science [https://www.anthropic.com/news/claude-science-ai-workbench] is an AI workbench that gives researchers a single
environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing,
analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures
natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting
started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has
defined yet.
You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our
internal research team to push model capabilities into production, and carries real ownership over what we ship next.
Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through
real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program
[https://www.anthropic.com/news/ai-for-science-program] and our rare disease research grants
[https://www.anthropic.com/news/rare-disease-research-grants].
WHAT YOU'LL DO
- Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage
problems are still unclaimed
- Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key
conversations, translating what you learn into engineering priorities
- Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into
shipped product
- Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users
hit in the real world back into model development
YOU MAY BE A GOOD FIT IF YOU
- Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
- Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
- Have built AI products and know what it takes to turn model capabilities into applications people actually use
- Are comfortable working directly with technical domain experts and translating what you learn
- Drive cross-team alignment to ship impactful work, with influence over authority
STRONG CANDIDATES MAY ALSO HAVE
- Background in chemistry, biology, physics, or another science
- Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales
commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000—$485,000 USD
LOGISTICS
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you
from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as
working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for
money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any
links—visit anthropic.com/careers [http://anthropic.com/careers] directly for confirmed position openings.
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. Guidance on Candidates' AI Usage: Learn about our policy
[https://www.anthropic.com/candidate-ai-guidance] for using AI in our application process.
Roll
Staff+ Software Engineer, Claude Science
Kategori
Other
Plats
Publicerad
22 juli
Sista ansökningsdag
22 augusti
Källa