Software Engineer, Biology & Life Sciences

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're seeking an exceptional Software Engineer to join our Life Science team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. We build robust, scalable systems that can handle high-volume production workloads while maintaining reliability and performance. In this role, you'll leverage your engineering expertise to prototype new products and features, and develop critical infrastructure that supports our life science applications. You'll build resilient, production-ready systems that can scale to meet demanding computational requirements while ensuring data integrity and security.

As a founding member of our team, you'll work at the intersection of cutting-edge AI and the biological sciences, implementing efficient solutions for complex scientific problems. You'll collaborate closely with world-class researchers and engineers to translate innovative ideas into reliable production systems, while maintaining our commitment to safety and beneficial impact.

Responsibilities:

• Develop deep understanding of critical workflows in life science and build novel AI solutions to address the needs of biologists and life science professionals
• Rapidly prototype novel products and product features
• Create intuitive interfaces that enable scientists to effectively utilize our AI tools for discovery and analysis
• Collaborate with domain experts to translate complex biological requirements into technical implementations
• Work closely with research including post-training to ensure Claude is uniquely capable of enabling complex workflows in these areas. 

You May Be A Good Fit If You:

• Have 7+ years of practical experience building production full-stack software with a focus on usability, and experience with data analysis and experimentation frameworks 
• Take a data-driven approach to problem-solving, with a keen eye for identifying patterns and opportunities in user behavior and metrics 
• Are passionate about the potential of AI to reach and benefit a wide audience, and eager to tackle challenges in scaling AI products 
• Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and teammates 
• Are passionate about using AI to accelerate scientific discovery while maintaining high ethical standards 

Strong Candidates May Also Have:

• Experience integrating and working with AI/ML models and understanding their capabilities, particularly for scientific use cases
• Startup experience, particularly in building products from zero to one

This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers and engineers while tackling problems that matter deeply for human health and scientific understanding. If you're excited about using your expertise to guide the development of transformative AI systems, we want to hear from you.

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:$300,000—$320,000 USD

Logistics

• Education 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 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 for using AI in our application process