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Computer Vision Engineer Jobs in Malden, MA (NOW HIRING)

Brooks Automation

Principal Vision Systems Engineer

Chelmsford, MA · On-site

$132K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The successful candidate will work across computer vision, embedded systems, FPGA architecture, and ... Programming: C/C++, Python, MATLAB Embedded / FPGA Knowledge * Understanding of FPGA-based image ...

Motion Recruitment

Lead Robotics Perception Engineer

Boston, MA · On-site

$111K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong experience developing production computer vision systems * Deep understanding of robotic ... Guide engineers through the full software development lifecycle from concept through deployment

Socket.dev

Senior Embedded Software Engineer

Boston, MA · On-site

$140 - $160/hr

  • Medical

  • PTO

As a Senior Embedded Software Engineer on the TVision Meter Platform team, you will help define the ... Benchmark computer vision and deep learning workloads across multiple hardware platforms to drive ...

Delsys

R&D Software Engineer (FT)

Natick, MA · On-site

$90K - $110K/yr

  • Medical

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineers in this role will focus on building robust backend systems, embedded processing ... The position requires expertise in developing signal processing and computer vision pipelines ...

Cognex Corporation

Senior Machine Learning Engineer

Natick, MA · On-site

$115K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Background in computer vision, signal processing, or related fields. * Experience with embedded ML ... Engineering, Mathematics or related field, and 5+ years of relevant experience in AI/ML, software ...

Delsys

R&D Engineer (FT)

Natick, MA · On-site

$85K - $110K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an R&D Engineer, you will contribute to the design and implementation of computer vision/signal processing methods and computational tools that transform complex human signals into meaningful ...

Cognex

Senior Machine Learning Engineer

Natick, MA · On-site

$115K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Background in computer vision, signal processing, or related fields. * Experience with embedded ML ... Engineering,Mathematicsor related field, and5+ years of relevant experience in AI/ML, software ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

  • Medical

  • Retirement

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms. We are looking for a seasoned engineer who brings ...

Tristar AI, Inc.

Hardware Engineer

Cambridge, MA · On-site

$90 - $120/hr

Engineering About Tristar AI Tristar AI is a cutting-edge computer vision startup transforming quality control and safety in manufacturing through scalable, AI‑driven defect detection systems. Our ...

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Showing results 21-40

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Malden, MA

Computer Vision Engineer information

See Malden, MA salary details

$50.6K

$126.7K

$143.4K

How much do computer vision engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for computer vision engineer in Malden, MA is $126,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $137,100.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Malden, MA?

The most popular types of Computer Vision Engineer jobs in Malden, MA are:

What job categories do people searching Computer Vision Engineer jobs in Malden, MA look for?

The top searched job categories for Computer Vision Engineer jobs in Malden, MA are:

What cities near Malden, MA are hiring for Computer Vision Engineer jobs?

Cities near Malden, MA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Malden, MA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $126,735 per year, or $60.9 per hour.

Staff Computer Vision Scientist, Edge AI

SimpliSafe

Boston, MA • On-site

Full-time

Medical, Retirement

Re-posted 21 days ago

SimpliSafe rating

9.5

Company rating: 9.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 116 rated security

Job description

About SimpliSafe
SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.
We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.
We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday - working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.
Why are we hiring?
Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.
About the Role
We are seeking a highly motivated and experienced Staff Computer Vision Scientist, Edge AI to join our growing Edge AI team. As a key contributor, you will lead development of on-device machine learning for outdoor monitoring in the home security space. You will build and optimize computer vision models that run in real time on resource-constrained embedded devices like outdoor cameras and doorbell cameras, balancing accuracy with latency, memory, power, and reliability in challenging conditions (night, weather, motion blur, occlusions).
Responsibilities:
  • Lead end-to-end development of edge ML models for outdoor monitoring (e.g., person/vehicle/package detection, classification, tracking, segmentation, event understanding).
  • Architect, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer backbones optimized for embedded inference.
  • Drive model efficiency through resource-aware design and training, including:
    • Architecture: Token/patch reduction, efficient attention variants, early-exit / conditional compute
    • Training: distillation from large transformer teachers to edge students
    • Compression: Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization
  • Translate product requirements into model targets (accuracy, FPS, memory footprint, power/thermal) and ensure models meet budgets on doorbell/outdoor camera hardware.
  • Partner with embedded/firmware and platform teams to integrate models into production pipelines; profile bottlenecks and improve end-to-end runtime performance.
  • Define evaluation strategies tailored to outdoor edge deployments; perform failure analysis and improve long-tail robustness (nighttime, rain/snow, backlight, fast motion).
  • Set technical direction and raise engineering standards: best practices for experimentation, reproducibility, model/version management, and deployment readiness; mentor other ML engineers.

Qualifications:
  • 8+ years in applied ML/ML engineering, including shipping production CV models.
  • Strong computer vision background with deep learning expertise across detection/classification/segmentation/tracking.
  • Hands-on experience with vision transformers and/or DETR-style architectures, including practical knowledge of efficiency trade-offs for edge deployment.
  • Demonstrated success deploying models in resource-constrained, real-time environments (embedded/mobile/IoT/edge).
  • Deep experience in model optimization: QAT/PTQ, distillation, pruning, compression, mixed precision, and hardware/runtime-aware training.
  • Proficiency in Python and PyTorch and/or TensorFlow; ability to productionize models and collaborate with systems engineers (C++ experience strongly preferred).
  • Staff-level leadership: ability to drive ambiguous initiatives, align stakeholders, and mentor engineers.

Bonus Points:
  • Expertise in efficient transformer techniques (e.g., attention approximations, windowed/local attention, KV caching where applicable, token merging, sparsity) and their deployment implications.
  • Experience building model "ladders" across multiple chipsets/device tiers with consistent KPIs and automated regression testing.
  • Experience with embedded inference tooling and runtimes (e.g., TFLite, ONNX Runtime, TensorRT) and model export/compatibility constraints.
  • Familiarity with embedded accelerators and profiling (ARM NEON, DSP/NPU toolchains), kernel/operator tuning, and real-time video pipelines.
  • Experience with long-tail data strategies (active learning, hard-negative mining) and edge reliability/telemetry feedback loops.

What Values You'll Share
  • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
  • Aim High - Always challenging ourselves and others to raise the bar.
  • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style.
  • One Team - Taking a highly collaborative approach to achieving success.
  • Lift As We Climb - Investing in developing others and helping others around us succeed.
  • Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer
  • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
  • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
  • Free SimpliSafe system and professional monitoring for your home.
  • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $183,300 to $244,600.
This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors.
Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.
We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.
We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

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