Lead Machine Learning Engineer, Earth System Engineering Earth System Seattle, WA

Allenai; Mississippi; On-site; USD 200,000 - 302,000; Full time

Job summary

An innovative firm is seeking a Lead Machine Learning Engineer to advance geospatial intelligence through AI. This role focuses on developing scalable, high-impact AI solutions that address pressing environmental issues like climate change and sustainability. You will work with a collaborative team, leveraging your expertise in machine learning and AI research to create and optimize enterprise-grade systems. If you are passionate about using technology to make a difference in the world, this is the perfect opportunity for you.

Qualifications

• 5+ years experience in ML with expertise in geospatial AI.
• Experience building and scaling enterprise-grade ML systems.

Responsibilities

• Lead the development of AI solutions for complex environmental challenges.
• Collaborate in a team-oriented environment to drive innovation.

Skills

Machine Learning

AI Research

Python

C/C++

Geospatial Intelligence

Communication Skills

Education

Bachelor’s degree in Computer Science

Ph.D. in ML/AI or relevant field

Tools

Cloud Infrastructure

Machine Learning Infrastructure

Job description

Lead Machine Learning Engineer, Earth System

Seattle, WA

Persons in these roles are expected to work from our offices in Seattle.

Our base salary range is $200,800 - $301,320, and in addition we have generous bonus plans to provide a competitive compensation package.

Who You Are:

We are looking for a Lead Machine Learning Engineer who is passionate about pushing the boundaries of geospatial intelligence.

Who We Are:

We are building Earth-System (https://allenai.org/earth-system), a new platform for large-scale planetary intelligence. Our mission is to tackle some of the world’s most complex environmental challenges—spanning climate change, sustainability, food security, humanitarian aid, and conservation—through AI. This platform will combine highly mixed-modality geospatial foundation models with the infrastructure to fine-tune and deploy them at scale.

You’ll thrive in this role if you:

• Move fluidly between AI research and production engineering.
• Are deeply experienced in one or several areas in foundational machine learning research, and production-scale deployment.
• Operate with autonomy and a bias toward action, iterating quickly while ensuring long-term sustainability.
• Enjoy working in a highly collaborative environment.

What You’ll Need:

• Bachelor’s degree in Computer Science, ML/AI, or relevant technical field, or equivalent practical experience.
• Experience building, scaling, and optimizing enterprise-grade ML/AI systems.
• Experience coding in Python, C/C++, or other similar languages.
• Experience communicating AI research and development to audiences with different (non-technical) backgrounds.
• 5+ years experience working in ML.
• Expertise in geospatial AI, such as remote sensing and/or ML for geospatial trajectories.

Preferred qualifications:

• Ph.D., research background in ML/AI in CS or AI, or relevant technical field.
• Experience in large-scale cloud infrastructure.
• Experience with large scale machine learning infrastructure deployments.

If you want to build scalable, high-impact AI that helps the world understand and respond to planetary change, we’d love to hear from you.

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.