<div>Job Type</div><div>Full-time</div><p>Hybrid-remote from LineVision’s Boston, MA Headquarters or Boulder, CO Hub Office</p><p><br></p><p>Strengthen the resiliency and efficiency of the electric grid by developing technology that enables utilities to meet surging power demand—unlocking capacity on existing infrastructure and improving reliability in the face of extreme weather, wildfire risk and growing electrification.</p><p><br></p><p>We are seeking a <strong>Principal or Staff</strong> <strong>Computer Vision Data Scientist</strong> 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 and model deployment with cross-functional collaboration and mentorship to expand the frontier of what’s possible in real-world computer vision—particularly in complex, uncontrolled outdoor environments. If you are looking to contribute to a high-impact, fast-paced company where your work advances grid intelligence and enables resilient, data-informed infrastructure for the global electric grid, join us at LineVision, <em><strong>Built In Boston and Colorado Best Places to Work</strong></em>!</p><p><br></p><h2>What will you do?</h2><h3><strong>Core Responsibilities and Key Performance Objectives</strong></h3><ul><li>Architect and own a sustainable, end-to-end machine learning training pipeline for CV models.</li><li>Bridge data science and MLOps by translating research models into production-ready pipelines with input from Software, Product, and Sensor teams.</li><li>Champion and deliver edge-deployable CV models that are robust, efficient, and optimized for low-power environments in remote areas.</li><li>Develop, deploy, and maintain multiple CV models addressing a range of environmental and sensing contexts by gathering and curating novel ML training sets.</li><li>Lead strategic initiatives involving multimodal data fusion (e.g., combining satellite, drone, LiDAR, multispectral, low-light, and RGB camera data).</li><li>Mentor and coach data scientists and engineers in CV fundamentals, best practices, and emerging techniques.</li></ul><h3><strong>Within the first 3 months:</strong></h3><ul><li>Fully onboard and assess current ML training pipelines and CV infrastructure.</li><li>Begin developing a roadmap for a robust, sustainable training system.</li><li>Build relationships across Data Science, Software, and Sensor Hardware teams to understand pain points and opportunities.</li></ul><h3><strong>Within the first 6 months:</strong></h3><ul><li>Deliver a working MVP of a model training pipeline tailored to LineVision’s data constraints and goals.</li><li>Guide team members through project-based mentoring and technical knowledge transfer.</li><li>Pilot an early-stage edge-deployable CV model for field testing and establish repeatable deployment path with software and product teams.</li></ul><h3><strong>Within the first year:</strong></h3><ul><li>Stand up and document a scalable, production-grade CV training and deployment system.</li><li>Ship multiple robust CV models in production, including at least one optimized for edge processing.</li><li>Build a track record of successfully translating general product requirements into actionable tasks and clearly defined model performance metrics.</li><li>Develop best-practice guidelines, model accuracy benchmarks, and reusable assets for future CV models.</li></ul><h2>How to succeed in this role</h2><h3><strong>Key Competencies</strong></h3><ul><li><strong>Delivering Innovative Solutions</strong>: Design novel systems and scrappy workflows to generate and curate fit-for-purpose ML training and testing imagery.</li><li><strong>Empowering Others</strong>: Level up overall team capability through mentorship, paired work, and shared learning.</li><li><strong>Judgment &amp; Decision Making</strong>: Make technically sound choices that balance experimentation with performance constraints.</li><li><strong>Stakeholder Management</strong>: Bring clarity and alignment on complex CV topics across technical and non-technical stakeholders.</li><li><strong>Collaboration &amp; Adaptability:</strong> Contribute to a high-functioning team by balancing strong opinions with openness to others’ approaches and working styles.</li></ul><h3><strong>Essential Skills</strong></h3><ul><li>Deep experience building new CV systems from the ground up—not just optimizing components of legacy pipelines.</li><li>Expertise in working with uncontrolled environmental imagery (e.g., outdoor, variable lighting, occlusion-heavy, and complex natural backgrounds).</li><li>Strong knowledge of both classical and machine learning CV techniques, including feature matching, segmentation, edge detection, pose estimation, etc.</li><li>Proficiency in Python and tools like OpenCV, scikit-image, Roboflow, and anomalib.</li></ul><h3><strong>What Sets the Best Candidates Apart</strong></h3><ul><li>Creativity and practicality in building training datasets, including the use of public datasets, synthetic imagery, and domain adaptation techniques.</li><li>Track record of bridging model development and deployment, with comfort working across infrastructure, product, and software boundaries.</li><li>Experience deploying ML models to edge devices with compute and power constraints.</li><li>Strong physics intuition and ability to reason through sensor phenomena and imaging artifacts.</li><li>Familiarity with AWS SageMaker, image labeling pipelines, and cross-sensor data fusion.</li><li>Ability to communicate CV concepts clearly and build trust and confidence across scientific and executive teams.</li></ul><h3><strong>Reporting &amp; Team Structure</strong></h3><ul><li>Reports to the Senior Director of Data Science.</li><li>Collaborates closely with Sensor Hardware Engineering, Software, Data Science, and Product teams.</li><li>Expected to mentor junior and mid-level data scientists and serve as a CV domain expert within cross-functional squads.</li></ul><h3><strong>Interview Process</strong></h3><ul><li><strong>Apply Online.</strong></li><li><strong>Round 1:</strong> Phone screen (Recruiter)</li><li><strong>Round 2:</strong> Hiring Manager Interview</li><li><strong>Round 3:</strong> Panel Interviews    <ul>      <li>Panel 1: Technical competency &amp; experience</li>      <li>Panel 2: Communication, Collaboration &amp; Adaptability</li>    </ul></li><li><strong>Final Round:</strong> Leadership Team &amp; Hiring Manager</li></ul><h2>What does joining LineVision mean for you?</h2><ul><li><strong>Impact.</strong> Your talent, time, and energy will critically impact our success in accelerating our mission of growing grid capacity and resilience. </li><li><strong>Ownership. </strong>You will hold broad responsibilities with high autonomy and trust in a communicative, collaborative, and fast-paced environment.</li><li><strong>Real World Innovation. </strong>You will join a motivated and high-performing team working with cutting edge, patented technology to help solve key obstacles to grid reliability, efficiency, and modern utility operations.</li></ul><h2>Who we are…</h2><p>We are an innovative grid technology company based in Boston, MA. We empower electric utilities to safely increase capacity, improve situational awareness, and strengthen grid resilience with real-time intelligence.. We are LineVisionaries: </p><ul><li><strong>We are Innovators:</strong> we light the way with tenacious creativity and do good work. </li><li><strong>We are Empowered:</strong> With high trust and high autonomy, the floor is yours, and the opportunity is ours.</li><li><strong>We are Welcoming</strong>: Come as you are, our doors are open. We are better together. </li><li><strong>We are Trusted Partners:</strong> We elevate our customer champions through shared thought leadership. We deliver on commitments.</li><li><strong>We are All In</strong>: We are building a community of passionate individuals who want to dent the universe and build the intelligent, resilient grid of the future.. </li></ul><p>At LineVision there’s no such thing as a "perfect" candidate. We are looking for exceptional people who want to make a positive impact through their work and facilitate an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day.</p><p><br></p><h2>Work Authorization Requirement</h2><p>At this time, LineVision Inc. is unable to sponsor employment visas. Applicants must be currently authorized to work in the U.S. on a full-time basis without sponsorship now or in the future.</p><p><br></p><p>Meet our team, and understand our mission:  <a href="https://www.linevisioninc.com/about-us">https://www.linevisioninc.com/about-us</a></p><div>Salary Description</div><div>$150,000-200,000/year</div>

<p>LineVision enables utilities to improve transmission line capacity, resilience and safety through advanced, non-contact sensors and analytics. LineVision&rsquo;s solution provides utility clients with previously unavailable visibility on asset health and safety for optimized asset management. LineVision&rsquo;s turnkey, non-contact systems can be rapidly deployed without the need for outages, live line work or specialized equipment. LineVision is dedicated to helping utilities optimize the performance of the electric power grid.</p>

Principal or Staff Computer Vision Data Scientist

<div>Job Type</div><div>Full-time</div><p>Hybrid-remote from LineVision’s Boston, MA Headquarters or Boulder, CO Hub Office</p><p><br></p><p>Strengthen the resiliency and efficiency of the electric grid by developing technology that enables utilities to meet surging power demand—unlocking capacity on existing infrastructure and improving reliability in the face of extreme weather, wildfire risk and growing electrification.</p><p><br></p><p>We are seeking a <strong>Principal or Staff</strong> <strong>Computer Vision Data Scientist</strong> 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 and model deployment with cross-functional collaboration and mentorship to expand the frontier of what’s possible in real-world computer vision—particularly in complex, uncontrolled outdoor environments. If you are looking to contribute to a high-impact, fast-paced company where your work advances grid intelligence and enables resilient, data-informed infrastructure for the global electric grid, join us at LineVision, <em><strong>Built In Boston and Colorado Best Places to Work</strong></em>!</p><p><br></p><h2>What will you do?</h2><h3><strong>Core Responsibilities and Key Performance Objectives</strong></h3><ul><li>Architect and own a sustainable, end-to-end machine learning training pipeline for CV models.</li><li>Bridge data science and MLOps by translating research models into production-ready pipelines with input from Software, Product, and Sensor teams.</li><li>Champion and deliver edge-deployable CV models that are robust, efficient, and optimized for low-power environments in remote areas.</li><li>Develop, deploy, and maintain multiple CV models addressing a range of environmental and sensing contexts by gathering and curating novel ML training sets.</li><li>Lead strategic initiatives involving multimodal data fusion (e.g., combining satellite, drone, LiDAR, multispectral, low-light, and RGB camera data).</li><li>Mentor and coach data scientists and engineers in CV fundamentals, best practices, and emerging techniques.</li></ul><h3><strong>Within the first 3 months:</strong></h3><ul><li>Fully onboard and assess current ML training pipelines and CV infrastructure.</li><li>Begin developing a roadmap for a robust, sustainable training system.</li><li>Build relationships across Data Science, Software, and Sensor Hardware teams to understand pain points and opportunities.</li></ul><h3><strong>Within the first 6 months:</strong></h3><ul><li>Deliver a working MVP of a model training pipeline tailored to LineVision’s data constraints and goals.</li><li>Guide team members through project-based mentoring and technical knowledge transfer.</li><li>Pilot an early-stage edge-deployable CV model for field testing and establish repeatable deployment path with software and product teams.</li></ul><h3><strong>Within the first year:</strong></h3><ul><li>Stand up and document a scalable, production-grade CV training and deployment system.</li><li>Ship multiple robust CV models in production, including at least one optimized for edge processing.</li><li>Build a track record of successfully translating general product requirements into actionable tasks and clearly defined model performance metrics.</li><li>Develop best-practice guidelines, model accuracy benchmarks, and reusable assets for future CV models.</li></ul><h2>How to succeed in this role</h2><h3><strong>Key Competencies</strong></h3><ul><li><strong>Delivering Innovative Solutions</strong>: Design novel systems and scrappy workflows to generate and curate fit-for-purpose ML training and testing imagery.</li><li><strong>Empowering Others</strong>: Level up overall team capability through mentorship, paired work, and shared learning.</li><li><strong>Judgment &amp; Decision Making</strong>: Make technically sound choices that balance experimentation with performance constraints.</li><li><strong>Stakeholder Management</strong>: Bring clarity and alignment on complex CV topics across technical and non-technical stakeholders.</li><li><strong>Collaboration &amp; Adaptability:</strong> Contribute to a high-functioning team by balancing strong opinions with openness to others’ approaches and working styles.</li></ul><h3><strong>Essential Skills</strong></h3><ul><li>Deep experience building new CV systems from the ground up—not just optimizing components of legacy pipelines.</li><li>Expertise in working with uncontrolled environmental imagery (e.g., outdoor, variable lighting, occlusion-heavy, and complex natural backgrounds).</li><li>Strong knowledge of both classical and machine learning CV techniques, including feature matching, segmentation, edge detection, pose estimation, etc.</li><li>Proficiency in Python and tools like OpenCV, scikit-image, Roboflow, and anomalib.</li></ul><h3><strong>What Sets the Best Candidates Apart</strong></h3><ul><li>Creativity and practicality in building training datasets, including the use of public datasets, synthetic imagery, and domain adaptation techniques.</li><li>Track record of bridging model development and deployment, with comfort working across infrastructure, product, and software boundaries.</li><li>Experience deploying ML models to edge devices with compute and power constraints.</li><li>Strong physics intuition and ability to reason through sensor phenomena and imaging artifacts.</li><li>Familiarity with AWS SageMaker, image labeling pipelines, and cross-sensor data fusion.</li><li>Ability to communicate CV concepts clearly and build trust and confidence across scientific and executive teams.</li></ul><h3><strong>Reporting &amp; Team Structure</strong></h3><ul><li>Reports to the Senior Director of Data Science.</li><li>Collaborates closely with Sensor Hardware Engineering, Software, Data Science, and Product teams.</li><li>Expected to mentor junior and mid-level data scientists and serve as a CV domain expert within cross-functional squads.</li></ul><h3><strong>Interview Process</strong></h3><ul><li><strong>Apply Online.</strong></li><li><strong>Round 1:</strong> Phone screen (Recruiter)</li><li><strong>Round 2:</strong> Hiring Manager Interview</li><li><strong>Round 3:</strong> Panel Interviews    <ul>      <li>Panel 1: Technical competency &amp; experience</li>      <li>Panel 2: Communication, Collaboration &amp; Adaptability</li>    </ul></li><li><strong>Final Round:</strong> Leadership Team &amp; Hiring Manager</li></ul><h2>What does joining LineVision mean for you?</h2><ul><li><strong>Impact.</strong> Your talent, time, and energy will critically impact our success in accelerating our mission of growing grid capacity and resilience.&nbsp;</li><li><strong>Ownership. </strong>You will hold broad responsibilities with high autonomy and trust in a communicative, collaborative, and fast-paced environment.</li><li><strong>Real World Innovation. </strong>You will join a motivated and high-performing team working with cutting edge, patented technology to help solve key obstacles to grid reliability, efficiency, and modern utility operations.</li></ul><h2>Who we are…</h2><p>We are an innovative grid technology company based in Boston, MA. We empower electric utilities to safely increase capacity, improve situational awareness, and strengthen grid resilience with real-time intelligence.. We are LineVisionaries:&nbsp;</p><ul><li><strong>We are Innovators:</strong> we light the way with tenacious creativity and do good work.&nbsp;</li><li><strong>We are Empowered:</strong> With high trust and high autonomy, the floor is yours, and the opportunity is ours.</li><li><strong>We are Welcoming</strong>: Come as you are, our doors are open. We are better together.&nbsp;</li><li><strong>We are Trusted Partners:</strong> We elevate our customer champions through shared thought leadership. We deliver on commitments.</li><li><strong>We are All In</strong>: We are building a community of passionate individuals who want to dent the universe and build the intelligent, resilient grid of the future..&nbsp;</li></ul><p>At LineVision there’s no such thing as a "perfect" candidate. We are looking for exceptional people who want to make a positive impact through their work and facilitate an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day.</p><p><br></p><h2>Work Authorization Requirement</h2><p>At this time, LineVision Inc. is unable to sponsor employment visas. Applicants must be currently authorized to work in the U.S. on a full-time basis without sponsorship now or in the future.</p><p><br></p><p>Meet our team, and understand our mission: &nbsp;<a href="https://www.linevisioninc.com/about-us">https://www.linevisioninc.com/about-us</a></p><div>Salary Description</div><div>$150,000-200,000/year</div>

Principal or Staff Computer Vision Data Scientist

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LineVision

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