Staff Computer Vision Data Scientist

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Built In Boston and Colorado Best Places to Work!

What will you do?

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).

Within the first 3 months:

• 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.

Within the first 6 months:

• Deliver a working MVP of a model training pipeline tailored to LineVision’s 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.

Within the first year:

• 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.

How to succeed in this role

Key Competencies

• Delivering Innovative Solutions: Design novel systems and scrappy workflows to generate and curate fit-for-purpose ML training and testing imagery.
• Empowering Others: Level up overall team capability through mentorship, paired work, and shared learning.
• Judgment & Decision Making: Make technically sound choices that balance experimentation with performance constraints.
• Stakeholder Management: Bring clarity and alignment on complex CV topics across technical and non-technical stakeholders.

Essential Skills

• Deep experience building new CV systems from the ground up—not 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.

What Sets the Best Candidates Apart

• 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.
• Strong physics intuition and ability to reason through sensor phenomena and imaging artifacts.
• 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.

Interview Process

• Apply Online.
• Round 1: Phone screen (Recruiter)
• Round 2: Hiring Manager Interview
• Round 3: Panel Interviews
• Panel 1: Technical competency & experience
• Panel 2: Teamwork, culture fit, and customer presence
• Final Round: Leadership Team & Hiring Manager Sign-Off

What does joining LineVision mean for you?

• Impact. Your talent, time, and energy will critically impact our success in accelerating our mission of growing grid capacity and resilience. 
• Ownership. You will hold broad responsibilities with high autonomy and trust in a communicative, collaborative, and fast-paced environment.
• Flexibility. You will be empowered to maintain work-life balance with unlimited PTO and a flexible remote work schedule. 
• Real World Innovation. 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.

Who we are…

• We are Innovators: we light the way with tenacious creativity and do good work. 
• We are Empowered: With high trust and high autonomy, the floor is yours, and the opportunity is ours.
• We are Welcoming: Come as you are, our doors are open. We are better together. 
• We are Trusted Partners: We elevate our customer champions through shared thought leadership. We deliver on commitments.
• We are All In: We are building a community of passionate individuals who want to dent the universe and accelerate the net-zero grid.