Remote Computer Vision Engineer Jobs
Remote Computer Vision Engineer jobs are available nationwide at employers like CVS Health, Alvarez & Marsal, and Netflix and other distributed teams, at every experience level. See the openings below and apply to the ones that match your experience.
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Showing 5 of 227+ Remote Computer Vision Engineer jobs
Company Overview
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
Motorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.
Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making.
Job Description
Reporting to the VP of AI for Motorola Solutions, the Principal Product Manager - Computer Vision will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale Computer Vision solutions. They will be responsible for defining and driving the strategy, roadmap, and measurable success of our core Computer Vision Platform . This role is pivotal in partnering with internal product leaders to define the platform's requirements and drive the adoption of central AI models and foundational AI infrastructure across Motorola's product portfolio. This includes product management for our enterprise-scale cloud and edge AI platforms, ensuring our AI investments translate into quantifiable, improved customer and business outcomes. This role also includes product ownership for select end-to-end computer vision-based products.
Key Responsibilities
The Principal Product Manager will own the strategy, definition, and roadmap across the following core areas, with an emphasis on the Computer Vision Platform:
Platform Product Strategy & Roadmap: Define the vision, strategy and roadmap for the Computer Vision Platform, ensuring alignment with Motorola Solutions' overall product portfolio and strategic business goals.
Internal Partner Management & Alignment: Serve as the primary product leader for the platform, engaging with internal product leaders and teams across Motorola to understand their computer vision needs, define platform requirements (APIs, capabilities, scalability), and drive adoption of platform services.
Product Definition & Requirements: Author high-quality Market Requirements Documents (MRDs), Product Requirements Documents (PRDs), and user stories for core platform capabilities (e.g., model serving, data pipelines, edge-to-cloud synchronization) and for select end-to-end computer vision products.
AI Model Lifecycle Ownership: Own the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation.
Platform Success Metrics: Define, implement, and track key business, customer, and technical metrics (e.g., platform adoption, performance, latency, cost-efficiency, and quantifiable customer outcomes) to measure the success and health of the platform and drive continuous improvement.
Market & Customer Insights: Conduct market research, competitive analysis, and customer/partner discovery to identify new opportunities, validate product concepts, and inform strategic build-versus-buy decisions.
Qualifications & Experience
10+ years of product management experience , with a focus on platform products, AI/ML, or complex, cross-functional technical domains.
Technical Acumen: Deep understanding of computer vision and machine learning, machine learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models. Demonstrated ability to engage in technical discussions with engineering teams, understand architectural trade-offs, and define clear, measurable product requirements.
Product Strategy & Metrics: Proven experience defining product vision, strategy, and roadmaps. Expertise in defining and implementing metrics frameworks (KPIs, OKRs) to measure product success (adoption, revenue, customer value) and drive organizational change and accountability.
Strong analytical skills , with experience working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization.
Leadership: Demonstrated ability to operate at a Principal level, influence senior leaders across organizations, drive consensus, and communicate complex technical and strategic concepts clearly and concisely, including presenting roadmap elements and business cases.
Customer-focused with a track record of building strong relationships and conducting early-stage discovery to understand internal and external customer needs.
Domain Knowledge: Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.
Pathfinding: Experience bringing initial definition to "highly ambiguous" product concepts and conducting early-stage discovery for emergent initiatives.
Target Base Salary Range: $220,000 USD - $250,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
#LI-MP2
#LI-REMOTE
Basic Requirements
10+ years of product management experience in a technical domain
Travel Requirements
10-25%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
No
Our U.S. Benefits include:
Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave
and more!
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
Company Overview
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
Motorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.
Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making.
Job Description
Reporting to the VP of AI for Motorola Solutions, the Principal Product Manager - Computer Vision will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale Computer Vision solutions. They will be responsible for defining and driving the strategy, roadmap, and measurable success of our core Computer Vision Platform . This role is pivotal in partnering with internal product leaders to define the platform's requirements and drive the adoption of central AI models and foundational AI infrastructure across Motorola's product portfolio. This includes product management for our enterprise-scale cloud and edge AI platforms, ensuring our AI investments translate into quantifiable, improved customer and business outcomes. This role also includes product ownership for select end-to-end computer vision-based products.
Key Responsibilities
The Principal Product Manager will own the strategy, definition, and roadmap across the following core areas, with an emphasis on the Computer Vision Platform:
Platform Product Strategy & Roadmap: Define the vision, strategy and roadmap for the Computer Vision Platform, ensuring alignment with Motorola Solutions' overall product portfolio and strategic business goals.
Internal Partner Management & Alignment: Serve as the primary product leader for the platform, engaging with internal product leaders and teams across Motorola to understand their computer vision needs, define platform requirements (APIs, capabilities, scalability), and drive adoption of platform services.
Product Definition & Requirements: Author high-quality Market Requirements Documents (MRDs), Product Requirements Documents (PRDs), and user stories for core platform capabilities (e.g., model serving, data pipelines, edge-to-cloud synchronization) and for select end-to-end computer vision products.
AI Model Lifecycle Ownership: Own the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation.
Platform Success Metrics: Define, implement, and track key business, customer, and technical metrics (e.g., platform adoption, performance, latency, cost-efficiency, and quantifiable customer outcomes) to measure the success and health of the platform and drive continuous improvement.
Market & Customer Insights: Conduct market research, competitive analysis, and customer/partner discovery to identify new opportunities, validate product concepts, and inform strategic build-versus-buy decisions.
Qualifications & Experience
10+ years of product management experience , with a focus on platform products, AI/ML, or complex, cross-functional technical domains.
Technical Acumen: Deep understanding of computer vision and machine learning, machine learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models. Demonstrated ability to engage in technical discussions with engineering teams, understand architectural trade-offs, and define clear, measurable product requirements.
Product Strategy & Metrics: Proven experience defining product vision, strategy, and roadmaps. Expertise in defining and implementing metrics frameworks (KPIs, OKRs) to measure product success (adoption, revenue, customer value) and drive organizational change and accountability.
Strong analytical skills , with experience working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization.
Leadership: Demonstrated ability to operate at a Principal level, influence senior leaders across organizations, drive consensus, and communicate complex technical and strategic concepts clearly and concisely, including presenting roadmap elements and business cases.
Customer-focused with a track record of building strong relationships and conducting early-stage discovery to understand internal and external customer needs.
Domain Knowledge: Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.
Pathfinding: Experience bringing initial definition to "highly ambiguous" product concepts and conducting early-stage discovery for emergent initiatives.
Target Base Salary Range: $220,000 USD - $250,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
#LI-MP2
#LI-REMOTE
Basic Requirements
10+ years of product management experience in a technical domain
Travel Requirements
10-25%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
No
Our U.S. Benefits include:
Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave
and more!
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
See All 227+ Remote Computer Vision Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Computer Vision Engineer Job Market
Who's Hiring
- CVS Health30
- Alvarez & Marsal26
- Netflix7
- Geisinger6
- Whatnot5
Top Industries Hiring
- Technology & Software55
- Healthcare & Medical Services45
- Consulting & Professional Services35
- Investment & Asset Management28
- Accounting & Auditing26
What Employers Look For
The qualifications that appear most often in remote computer vision engineer jobs.
- Proficiency in Python with deep learning frameworks such as PyTorch or TensorFlow
- Hands-on experience with OpenCV and classical image processing techniques
- Strong understanding of convolutional neural network architectures and object detection models
- Experience deploying models to production environments including cloud or edge hardware
- Familiarity with 3D vision techniques such as point cloud processing or stereo depth estimation
- Bachelor's or master's degree in computer science, electrical engineering, or a related field
Tips for Your Remote Computer Vision Engineer Job Search
Quantify your model performance results
Hiring managers want numbers, not descriptions. Replace 'improved detection accuracy' with the exact mAP score, inference latency reduction, or false-positive rate you achieved. Reviewers skim resumes fast, and concrete metrics on real datasets make your work immediately credible.
Tailor your GitHub to each application
Pin repositories that match the stack in the job description. If a role emphasizes real-time edge inference, push your TensorRT or ONNX runtime project to the top. Reviewers often check GitHub before the phone screen, so alignment there can determine whether you advance.
Apply early to roles that fit
Migrate Mate lists computer vision engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job descriptions by deployment environment
Cloud-hosted pipeline roles and embedded edge-device roles call for different skills. Read postings carefully for keywords like CUDA, OpenVINO, or FPGA to distinguish them. Applying to roles that match your actual deployment experience dramatically improves your callback rate.
Prepare a live demo for technical screens
Many computer vision interview loops include a take-home or live coding task involving image processing or model inference. Practice explaining your architectural choices out loud, not just writing code. Interviewers weigh your reasoning as heavily as your solution.
Negotiate using competing offer timelines
If you have multiple interviews in flight, coordinate your offer deadlines before any explode. Letting a hiring team know you have another process moving forward is standard and often accelerates their decision. Use that window to request additional time or a competing offer match.
Remote Computer Vision Engineer Jobs: Frequently Asked Questions
How do I get a remote computer vision engineer job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote computer vision engineer employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote computer vision engineers?
Companies hiring remote computer vision engineers include CVS Health, Alvarez & Marsal, and Netflix, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote computer vision engineer roles.
Can you get a remote computer vision engineer job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote computer vision engineer openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote computer vision engineer jobs?
Not always. Many employers hire remote computer vision engineers on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote computer vision engineer roles.
Which industries hire the most remote computer vision engineers?
The sectors hiring the most remote computer vision engineers are Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire computer vision engineers remotely most consistently.
See All 227+ Remote Computer Vision Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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