Senior Software Engineer, AI for the Planet

Software Engineer, Ai For The Planet

Seattle, WA

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $128,880 - $193,320, and in addition we have generous bonus plans to provide a competitive compensation package.

Who You Are:

We're looking for a strong builder. Someone with deep experience shipping high-quality, scalable, full-stack products that integrate state-of-the-art ML models. Someone who wants to grow alongside a team working at the forefront of applied AI, on a product that exists to do good in the world. A great candidate is someone who thoughtfully reflects on our internal processes and is comfortable pushing for change.

Who We Are:

We are a small engineering team at the Allen Institute for AI working on AI for the Planet. We're working on maritime conservation, food security, disaster resilience, and climate solutions with some of the most impactful organizations on the planet. We work very closely alongside a ML research team and our Product & Partnerships teams, focused on building products that support our environmental and high-impact users.

Today, our team works on two products:

Skylight uses AI to detect illegal, unreported, and unregulated fishing in real time. Governments, enforcement agencies, and conservation organizations in 95+ countries use it to protect their waters. Our advanced AI-powered platform delivers real-time vessel detections and actionable insights that empower enforcement agencies globally to protect marine ecosystems.

OlmoEarth is an open, end-to-end platform built around our family of foundation models for Earth observation. The OlmoEarth Platform enables our users to create custom fine-tuned models to detect and classify novel geospatial features. The platform handles the full loop: imagery acquisition from Sentinel-1, Sentinel-2, and Landsat; annotation; distributed training and inference; and a viewer so the outputs are usable by people who aren't ML experts. Partners today include NASA JPL (wildfire risk), IFPRI (crop mapping in Kenya), Global Mangrove Watch, and the Amazon Conservation Alliance.

Your Next Challenge:

If you're the kind of engineer who gets energized by building technology that helps protect oceans, forests, and the climate, who wants to move fast, work across disciplines, and see your code have real-world impact, this is for you.

To give you a better idea of the kinds of projects we work on, here are some examples of our current projects:

Automated model development: We're building the OlmoEarth Platform to enable users to go from raw tabular data to a fine-tuned, evaluated, production-ready computer vision model, without needing an ML engineer. The underlying infrastructure allows us to run jobs across thousands of parallel GPUs and terabytes of satellite imagery - covering continent-sized areas for fractions of a penny per square kilometer. We're also pushing into agentic approaches: agents that help with dataset discovery, preparation, and augmentation, and agents that explore model configurations and architectures to find the right setup for a given use case.

Deploy multi-tenant agents: We are building a multi-tenant agent-orchestration platform to power Skylight's next generation of AI products - starting with Shippy, our maritime-domain-awareness agent. Every end user gets their own isolated sandbox: a per-user container stack with persistent GCS-backed state, a conversation history, and a hardened network boundary where the agent runtime can run free, in a secure environment. This platform will allow us to launch agentic-powered products without re-inventing the wheel every time.

Sentinel-2 vessel detections: We use the Sentinel-2 Satellites from the European Space Agency to detect locations of vessels globally in near-real-time. Our data-pipelines download imagery as soon as it's available and run our state-of-the-art computer vision models to detect vessels and make these observations available to our users, typically in under 4 hours from an image being taken.

What You'll Need:

• 5+ years of professional software engineering experience in industry. Internships, graduate school, and research positions are valuable but do not count toward this.
• Experience working as a generalist software engineer across multiple parts of the stack and product lifecycle. Strong foundations in web applications, data pipelines, distributed systems, and modern cloud tooling. The specific frameworks matter less than demonstrated ability to pick up new technologies as the field evolves.
• You're using modern AI tooling (e.g. Claude Code, agentic workflows) to move faster and rethink how engineering gets done.
• A track record of taking software products end to end. Shaping requirements, designing architecture, shipping to external users, and continuing to develop them over time based on user feedback.
• Ownership over production systems. Including taking on-call rotations, troubleshooting production issues, and digging into logs, metrics, and code to develop real, actionable insight when something needs attention.
• You write clear technical plans, give and receive feedback well, constantly prioritize, and can guide stakeholders through the details.

Preferred qualifications:

• Experience at small or growth-stage companies, where you own outcomes end to end without heavy process scaffolding.
• Hands-on experience integrating machine learning models into production systems: deployment, monitoring, scaling real-time inference, and iteration. You collaborated directly with researchers to bring models out of a research context, and you built user-facing applications where AI outputs need to be communicated clearly to non-technical users.
• You're opinionated about software engineering practice: coding patterns, breaking down work, code review, testing, build systems. You bring that judgment to the team while staying open to other perspectives.
• A demonstrated track record of technical depth and self-directed learning - for example: open-source contributions, technical writing, conference talks, sustained side projects.
• Open to occasional international travel to meet directly with the people using what we build.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world's biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2's core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant