Senior Geospatial AI/ML Engineer

Accountabilities

• Lead the design, development, and deployment of advanced machine learning models for geospatial intelligence using EO, MSI, and SAR datasets, including multi-modal architectures, vision transformers, and embedding-based approaches.

• Own the full ML lifecycle, from data ingestion and preprocessing to model training, evaluation, production deployment, monitoring, and iterative improvement.

• Solve complex, ambiguous geospatial and AI challenges, translating large-scale data into actionable insights aligned with broader product and organizational goals.

• Collaborate closely with cross-functional teams to guide technical direction, influence roadmap decisions, and ensure models meet both scientific and production requirements.

• Apply AI-assisted development workflows and modern tooling to improve productivity and accelerate experimentation and delivery.

Requirements

• Bachelor’s degree in Computer Science, Applied Mathematics, Physics, Engineering, or a related field.

• 6+ years of experience in machine learning, data science, or geospatial algorithm development in an industry setting.

• Strong expertise in machine learning fundamentals, including deep learning, unsupervised and semi-supervised methods, and statistical modeling.

• Hands-on experience working with large-scale datasets and production ML systems.

• Solid understanding of computer vision techniques, multi-modal data processing, and spatial or geospatial data concepts.

• Ability to work autonomously, manage ambiguity, and make technically sound decisions in complex environments.

• Strong programming skills (commonly Python) and familiarity with modern ML frameworks and cloud or distributed computing environments.

• Excellent collaboration and communication skills, with the ability to work effectively across engineering and scientific teams.

Benefits

• Competitive base salary ranging from approximately $142,800 to $178,500 USD (varies by location and experience)

• Equity and potential performance-based incentives

• Comprehensive medical, dental, and vision insurance coverage

• Health Savings Account (HSA) with company contribution

• Generous paid time off, holidays, and company-wide breaks

• 16 weeks of paid parental leave

• Home office stipend and monthly phone/internet reimbursement

• Tuition reimbursement and access to online learning platforms

• Wellness programs and employee assistance support

• Volunteering paid time off and commuter benefits (where applicable)

• Flexible, remote-first work environment

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1