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Anthropic

Software Engineer, Anthropic Labs

San Francisco, CA Remote Hybrid
USD 320k - 485k
Machine Learning
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Description
At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought. 

Anthropic Labs is seeking versatile and collaborative Software Engineers to rapidly prototype and evaluate emerging AI capabilities from our research teams. As part of the Labs team, you will work closely with researchers to validate the feasibility and product potential of cutting-edge AI breakthroughs, build lightweight demos, and generate learnings to inform Anthropic's product roadmap.

About Anthropic Labs
Anthropic Labs serves as an internal accelerator tasked with bridging the gap between research and product development. Our mandate is to identify paradigm-shifting opportunities from research that could ship as products in a 6-12 month timeframe. We embed with research teams to provide product perspective, build prototypes, and pressure test assumptions. Successful projects will transition to product teams for launch.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

  • Rapidly prototype user-facing applications of emerging AI capabilities
  • Collaborate with researchers to ensure proper incentive alignment and knowledge transfer
  • Build functional prototypes and demos to validate product-market fit and gather feedback
  • Generate documentation to streamline hand-off to product teams
  • Advocate for product and usability considerations early in the research process
  • Flexibly contribute to a range of Labs initiatives based on organizational priorities

You may be a good fit if you:

  • Have strong technical skills across the stack and enjoy working on a variety of projects
  • Are results-oriented and maintain a user-centric approach to research
  • Communicate and collaborate effectively with research teams
  • Pick up slack, even if it goes outside your job description
  • Want exposure to machine learning research and its product applications
  • Care about the societal impacts and ethics of your work

Strong candidates may also:

  • Building lightweight product prototypes and demos
  • Working with large language models and related AI architectures
  • Designing user flows, wireframes, or UI/UX for AI-powered applications
  • Conducting user research, interviews, and usability testing

Candidates need not have:

  • 100% of the skills needed to perform the job
  • Formal certifications or education credentials

Annual Salary (USD)

  • The expected salary range for this position is $320k - $485k

While you'll work on a variety of projects, some potential focus areas for Labs this year include:

  • Prototyping visual and speech-based interaction models for AI assistants
  • Exploring product applications for computer vision and document parsing capabilities
  • Designing developer experiences for code generation and analysis AI tools
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

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

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 higher-than-average 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 US-based 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 UK-based 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).
- 22 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.
Anthropic
Anthropic
Artificial Intelligence Information Technology Machine Learning

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