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 $174,240 - $261,360, and in addition we have generous bonus plans to provide a competitive compensation package.
Who You Are:

OlmoEarth is growing - more partners, more use cases, and a platform that is evolving quickly. We are looking for a Senior Research Engineer who can collaborate with our partners to tailor the OlmoEarth models to a wide range of specific applications across multiple domains.

Your Next Challenge:

You will work with partners to deploy OlmoEarth for their use cases. This will require you to move fluidly across the entire OlmoEarth team, working with partners, engineers and researchers. You will make meaningful contributions to all the components of OlmoEarth's infrastructure (from the finetuning code to model pretraining to our rslearn backend).

Use case enablement

• Collaborate closely with partners to deploy OlmoEarth models in challenging contexts. This will prioritize contexts and partners for which we don't have immediate solutions or there's an opportunity to standardize a high quality approach for common use cases..
• Explore novel use cases for the OlmoEarth models (e.g. post-hoc addition of new modalities, effectively leveraging embeddings in different contexts) which can unlock new use cases and partners.

Partner Communications & Coordination

• As part of model development, maintain communications with key partners to ensure their success using the OlmoEarth platform.
• Communicate internally so that partner needs are clearly understood by the OlmoEarth machine learning research, engineering and partnership teams.

Product Improvement and Research

• Work closely with the engineering and partnerships team to feed lessons you learn when deploying models into our infrastructure. This includes improvements to rslearn, OlmoEarth Studio.
• Collaborate with the research team to identify and fix issues with the OlmoEarth models preventing their deployment in specific important applications.
• Continually update our model adaptation approaches to improve model performance for all our partners. This includes updating our fine-tuning approaches, developing recipes for new applications and improving the UI so that modelling trade-offs can be better understood by users.
• Support agent evaluations and development.

What You'll Need:

Required

• 2+ years of experience deploying machine learning solutions. This covers the full stack of machine learning, including understanding the business case and requirements, training models, and deploying them at scale.
• Technical experience using machine learning tools. This includes fluency in PyTorch, experience debugging training loops and the ability to develop and deploy task-specific heads for encoders.
• Working experience with geospatial toolsets or platforms (e.g., Google Earth Engine, QGIS, ArcGIS); familiarity with remote sensing, Earth observation, or environmental science.
• Strong written communicator across a range of formats and audiences.
• Comfort navigating technical products and concepts; curiosity and self-driven learning aptitude
• Ability to operate independently with limited supervision.
• Demonstrates a strong ownership mindset, willing to roll up their sleeves and contribute wherever needed to help the team achieve its goals.
• Effective prioritization and organization skills; demonstrated ability to build repeatable processes and operational systems.
• Uses AI tools to move faster - and knows when to question their output.

Preferred

• Experience in a mission-driven, resource-constrained environment - startup urgency combined with an understanding of how organizations like NGOs, government agencies, and research institutions operate.
• Experience with self-supervised training methods for machine learning, particularly for ViT architectures.
• Comfort scanning technical literature to inform a conversation.
• Note: Some domestic and international travel is likely.

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.

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company's 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.