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 roleWe are seeking an experienced backend Software Engineer to join Anthropic’s Cloud Inference team. You will help architect, build, and scale Anthropic's cloud offerings that make our large language models available to customers across multiple platforms. Working across cloud ecosystems gives you a unique vantage point to identify and solve complex distributed systems challenges.You will solve technical challenges in safety, security, efficiency, and reliability while collaborating strategically with major cloud partners to enable frontier AI capabilities. Your work will enable customers to integrate our AI capabilities in their applications.ResponsibilitiesScale model serving infrastructure – You will architect and develop systems to meet growing demand while maintaining strict safety, security, efficiency, and reliability requirements across multiple cloud platform deployments.Optimize accelerator utilization – Accelerator chips are gold in the AI world. You will help measure and optimize the allocation of chips serving Anthropic's models, playing a key role in helping these precious resources go to their best possible use.Strategic external collaboration – You will work closely with major cloud platforms to implement and optimize frontier AI capabilities across their ecosystems, building strong technical partnerships that advance our long-term goals.Build and operationalize infrastructure – You will work to improve and extend the core infrastructure needed to package, test, and deploy Anthropic's inference technology across multiple platforms. This work is a force-multiplier as it accelerates our ability to reliably launch new models and features to customers.Implement trust and safety measures– AI safety is core to Anthropic's mission. You will help design and implement safety measures directly into our APIs and infrastructure to ensure consistent protection across all platforms.Contribute to Anthropic's core mission - with your innovative ideas and system architecture enhancements to build ever-better beneficial AI systems.You may be a good fit if youHave strong practical coding skills (including Python) and experience with complex distributed systemsAre adept at designing highly observable code and systems that operate reliably at scaleTake a customer-focused approach to building infrastructure, backend systems, and customer-facing APIsEnjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI spaceHave excellent written and verbal communication skills and comfort with a high degree of collaboration with both internal and external engineers and product managersHave a proclivity for "leaving it better than you found it": making things better without letting perfect be the enemy of goodAre motivated by developing AI responsibly and safelyStrong candidates may also have experience withDesigning and implementing large-scale API platformsBuilding products with LLM/AI componentsDeep experience building services on AWS or GCPCode performance optimization or service cost optimizationAccelerating the development of Anthropic's cloud inference engineers through mentorship and coachingSetting technical direction for ambiguous technical challengesHolding the pager for a critical live site service or taking the role of incident managerDeadline to apply:None. Applications will be reviewed on a rolling basis.The expected salary range for this position is:LogisticsEducation 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.How we're differentWe 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. 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Get future opportunities sent straight to your email.Apply for this jobindicates a required fieldFirst Name *Last Name *Email *PhoneResume/CVEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtf(Optional) Personal Preferences *How do you pronounce your name?LinkedIn ProfilePlease ensure to provide either your LinkedIn profile or Resume, we require at least one of the two.WebsitePublications (e.g. Google Scholar) URLAre you open to working in-person in one of our offices 25% of the time? * Select...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 * Select...We believe that AI will have a transformative impact on the world, and we’re seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.”Why Anthropic? *Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.)Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select...Do you require visa sponsorship? * Select...Additional Information *Add a cover letter or anything else you want to share.Are you open to relocation for this role? * Select...What is the address from which you plan on working? If you would need to relocate, please type "relocating".Have you ever interviewed at Anthropic before? * Select...
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