Senior AI/ML Scientist

Senior AI/ML Scientist II

Remote (Boston area only) | Full-time

Join a team building real-world AI solutions for the energy and infrastructure industries. This role focuses on advanced computer vision and multimodal AI, with real impact across solar, wind, and commercial property sectors.

As a Senior AI/ML Scientist II, you’ll develop models that process aerial image data from drones, fixed-wing aircraft, and other sources. You'll work with RGB, thermal, and geospatial inputs to support automated inspections and decision-making. You'll also explore new frontiers in AI with vision-language models and agentic systems.

This position requires someone based in the Boston area. While the role is remote by default, occasional in-person meetings will be expected. In the future, that could shift to one or two days per week on site.

What You’ll Do

• Design and build AI models that support inspections in renewable energy and infrastructure
• Train models on RGB, thermal, and geospatial imagery from aerial platforms
• Apply multimodal and agentic AI approaches to automate analysis workflows
• Work with product and engineering teams to ensure models meet user needs
• Prepare large-scale datasets and optimize pipelines for training and deployment
• Use AWS and other cloud tools to develop and manage model lifecycles
• Present findings, demos, and strategic plans to technical and non-technical audiences
• Document tools and workflows clearly for internal use
• Mentor junior team members and contribute to a culture of continuous learning

What You’ll Bring

• Master’s degree or higher in Computer Science, Electrical Engineering, Statistics, or related field
• At least 8 years of hands-on experience building deep learning models for computer vision
• Strong skills in Python, PyTorch, and cloud platforms like AWS
• Experience working with geospatial or aerial image data
• Familiarity with modern AI architectures including generative and multimodal models
• Experience collaborating with cross-functional teams to ship usable tools
• Background in mentoring or technical leadership
• Recent academic publications in AI or geospatial domains are a plus

What’s Offered

• Remote flexibility with in-person meetings in the Boston area
• Comprehensive medical coverage, including options that fully cover employees and dependents
• Dental and vision insurance provided
• Unlimited paid time off to support work-life balance
• Equity compensation program
• Room to grow in a collaborative, impact-driven environment

This is a chance to apply cutting-edge AI to systems that matter, from clean energy to critical infrastructure. Your work will shape how industries see, measure, and respond to the world around them.