Senior Software Engineer, AI for the Planet

About the role

The Senior Software Engineer, AI for the Planet role is expected to work from our offices in Seattle. On-site requirements vary based on position and team.

Responsibilities

• Work on Skylight, an AI platform for detecting illegal, unreported, and unregulated fishing in real time.
• Collaborate with the ML research team and Product & Partnerships teams to build products that support environmental and high-impact users.
• Develop and deploy multi-tenant agents for Skylight's next generation of AI products.
• Integrate machine learning models into production systems, including deployment, monitoring, scaling real-time inference, and iteration.
• Build user-facing applications where AI outputs need to be communicated clearly to non-technical users.
• Ship high-quality code quickly and learn from mistakes.
• Iterate small, focusing on genuine solutions to big problems faced by environmental organizations.
• Work closely with users to understand their needs and continuously improve the product.

Requirements

• 5+ years of professional software engineering experience in industry.
• Experience working as a generalist software engineer across multiple parts of the stack and product lifecycle.
• Experience working with modern AI tooling and integrating machine learning models into production systems.
• Ownership over production systems, including taking on-call rotations, troubleshooting production issues, and developing real, actionable insight when needed.
• Ability to write clear technical plans, give and receive feedback well, prioritize tasks, and guide stakeholders through the details.

Qualifications

• Strong foundations in web applications, data pipelines, distributed systems, and modern cloud tooling.
• Experience at small or growth-stage companies, where you own outcomes end to end without heavy process scaffolding.
• Opinionated about software engineering practice, including coding patterns, breaking down work, code review, testing, and build systems.
• A demonstrated track record of technical depth and self-directed learning, such as open-source contributions, technical writing, conference talks, and sustained side projects.
• Open to occasional international travel to meet directly with the people using what we build.

Benefits

• Flexible work environment with remote options.
• Learning opportunities through weekly Ai2 Academy lectures and guest speakers.
• Commitment to diversity, equity, and inclusion.
• Healthy work/life balance with generous paid vacation and sick leave.
• Collaborative and transparent team culture.
• Located in Seattle with access to various recreational activities.

Pay

Base salary range: $126,000 - $189,000. In addition, we have generous bonus plans to provide a competitive compensation package.

Schedule

Full-time position with flexible work arrangements based on position and team.