Software Engineer, Technical Partnerships
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
We are seeking an experienced backend software engineer to join our Technical Partnerships team. You will help build and extend Anthropic’s integrations with key, major cloud service partners that make our large language models and APIs available within their customer marketplaces. You will join a team of engineers that collaborates closely with teams across Anthropic research and product engineering to learn the inner workings and the core infrastructure needed to serve our frontier models to customers. You will also collaborate closely with the product engineering teams at our partner organizations to efficiently scale delivery of Claude to their vast audiences of developers.
Responsibilities
- Optimize accelerator utilization – accelerator chips are gold in the AI world. By helping to measure and optimize the allocation of chips serving Anthropic’s models, you can play a key role in helping these precious resources go to their best possible use.
- Collaborate on and implement features – Anthropic is constantly innovating in API and LLM features; you will play a critical role in designing and implementing these features to function well within third-party marketplace deployments.
- Trust and safety – AI safety is the core of Anthropic’s mission and permeates every aspect of LLM research, model development, and customer access. Maintaining AI safety on third party platforms poses unique challenges that you will help solve.
- Build and test infrastructure – you will work to improve and extend the infrastructure needed to package and test Anthropic’s core inference technology for distribution within third party platforms. This work is a force-multiplier for our teams and our partner teams as it accelerates our ability to reliably launch new models and new features to customers.
- Design and maintain observability and live site operations – you will collaborate closely with both our first-party observability engineers and our engineers within our third-party partner organizations to ensure our services achieve high uptime and consistently excellent performance for customers.
- Contribute to Anthropic’s core mission with your innovative ideas and product/systems enhancements to build ever-better beneficial AI systems.
You may be a good fit if you
- Have 5-15+ years of experience as a software engineer building and operating mission-critical backend systems at scale
- Have strong practical coding skills (including Python) and experience with complex distributed systems
- Are adept at designing highly observable code and systems that operate reliably, at scale
- Take a customer-focused approach to building infrastructure, backend systems, and customer-facing APIs
- Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
- Have excellent written and verbal communication skills and comfort with a high degree of collaboration with both internal and external engineers and product managers
- Have a proclivity for “leaving it better than you found it”: making things better without letting perfect be the enemy of good
- Are motivated by developing AI responsibly and safely
Strong candidates may also have experience with
- Integrating LLM APIs into products or services
- Experience developing software services in Rust
- Tools like Kubernetes, Docker, containerization tech
- Deep experience building services on AWS or GCP
- Code performance optimization or service cost optimization
- Holding the pager for a critical live site service or taking the role of incident manager
- Direct interaction with customers or partners during the implementation or support phases of a product or service deployment
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
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.
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 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.
Average salary estimate
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If you're looking to push the boundaries of AI technology, becoming a Software Engineer on the Technical Partnerships team at Anthropic in either San Francisco or Seattle could be the opportunity you've been waiting for. Here, we’re committed to creating reliable, interpretable, and steerable AI systems that are beneficial not just for users but for society as a whole. In this role, you'll join a passionate team of engineers, where your focus will be on optimizing our partnerships with major cloud service providers. Your efforts will ensure our large language models and APIs are seamlessly integrated into their marketplaces. You'll thrive working in a fast-paced environment as you collaborate closely with both internal and partner teams to develop innovative features while always prioritizing safety and reliability. If you have 5+ years of backend engineering experience, strong coding skills in Python, and a knack for designing dependable systems that scale, this role could be an ideal match for you. You'll play a crucial role in designing systems that support our mission of optimizing AI for the future. Plus, you’ll be contributing to an inclusive culture that values diverse perspectives. With opportunities for continuous learning, competitive compensation, and robust benefits, Anthropic is the place for you to grow and make a real impact. Join us to help build the AI systems of tomorrow!
By
Anthropic
Anthropic is an AI startup public-benefit company dedicated to AI safety and research, aiming to develop dependable, interpretable, and controllable AI systems. The company was was founded by former members of OpenAI in 2021.
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