Computer Vision Data Scientist (Boston)

Description Remote-Hybrid: Boston, MA Headquarters or Boulder, CO Hub Office Empower the clean energy transition by leading cutting-edge computer vision innovation in real-world, mission-critical environments for the global electric grid . We are seeking a Staff Computer Vision Data Scientist to join our mission-driven team and lead the development of advanced computer vision capabilities across our product ecosystem. This role blends deep technical expertise with mentorship and innovation to expand the frontier of whats possible in real-world computer visionparticularly in complex, uncontrolled outdoor environments. If you are looking to contribute to a high-impact, fast-paced company where your work accelerates the deployment of clean energy technology, join us at LineVision, Built In Boston and Colorado Best Places to Work ! Core Responsibilities and Key Performance Objectives Architect and own a sustainable, end-to-end machine learning training pipeline for CV models. Champion and deliver edge-deployable CV models that are robust, efficient, and optimized for low-power environments in remote areas. Mentor and coach data scientists and engineers in CV fundamentals, best practices, and emerging techniques. Develop, deploy, and maintain multiple CV models addressing a range of environmental and sensing contexts by gathering and curating novel ML training sets. Lead strategic initiatives involving multimodal data fusion (e.g., combining satellite, drone, LiDAR, multispectral, low-light, and RGB camera data). Fully onboard and assess current ML training pipelines and CV infrastructure. Begin developing a roadmap for a robust, sustainable training system. Build relationships across Data Science, Software, and Sensor Hardware teams to understand pain points and opportunities. Deliver a working MVP of a model training pipeline tailored to LineVisions data constraints and goals. Guide team members through project-based mentoring and technical knowledge transfer. Pilot an early-stage edge-deployable CV model for field testing. Stand up and document a scalable, production-grade CV training and deployment system. Ship multiple robust CV models in production, including at least one optimized for edge processing. Build a track record of successfully translating general product requirements into actionable tasks and clearly defined model performance metrics. Develop best-practice guidelines, model accuracy benchmarks, and reusable assets for future CV models. Design novel systems and scrappy workflows to generate and curate fit-for-purpose ML training and testing imagery. Judgment & Decision Making: Make technically sound choices that balance experimentation with performance constraints. Deep experience building new CV systems from the ground upnot just optimizing components of legacy pipelines. Expertise in working with uncontrolled environmental imagery (e.g., outdoor, variable lighting, occlusion-heavy, and complex natural backgrounds). Strong knowledge of both classical and machine learning CV techniques, including feature matching, segmentation, edge detection, pose estimation, etc. Proficiency in Python and tools like OpenCV, scikit-image, Roboflow, and anomalib. Creativity and practicality in building training datasets, including the use of public datasets, synthetic imagery, and domain adaptation techniques. Experience deploying ML models to edge devices with compute and power constraints. Familiarity with AWS SageMaker, image labeling pipelines, and cross-sensor data fusion. Ability to communicate CV concepts clearly and build trust and confidence across scientific and executive teams. Reporting & Team Structure Reports to the Senior Director of Data Science. Collaborates closely with Sensor Hardware Engineering, Software, Data Science, and Product teams. Expected to mentor junior and mid-level data scientists and serve as a CV domain expert within cross-functional squads. Apply Online. Phone screen (Recruiter) Panel 2: Teamwork, culture fit, and customer presence ~ You will be empowered to maintain work-life balance with unlimited PTO and a flexible remote work schedule. You will join a motivated and high-performing team working with cutting edge, patented technology to help solve key obstacles to the clean energy transition. We are a rapidly growing climate-tech company based in Boston, MA. Through our non-contact sensor, we enable electric utilities to serve increased load, integrate more renewable energy, ensure grid resilience, and enable mass electrification. With real-time monitoring and predictive analytics, we empower electric utilities to lead the clean energy transition. We are Empowered: With high trust and high autonomy, the floor is yours, and the opportunity is ours. We are Trusted Partners: We elevate our customer champions through shared thought leadership. We are All In : We are building a community of passionate individuals who want to dent the universe and accelerate the net-zero grid.