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Senior Computer Vision Engineer Jobs in Mountain View, CA

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Mill

Computer Vision Engineer

San Bruno, CA

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial -- the computer vision and agentic systems that turn a stream of food waste into operational ...

New

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Meta

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role brid.

Meta

Computer Vision Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... programming and refactoring skills and able to understand and debug heavily threaded code. Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer vision ...

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Mountain View, CA

Senior Computer Vision Engineer information

See Mountain View, CA salary details

$70.2K

$149.3K

$216.5K

How much do senior computer vision engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior computer vision engineer in Mountain View, CA is $149,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $169,300.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

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

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

What are the most commonly searched types of Computer Vision Engineer jobs in Mountain View, CA?

The most popular types of Computer Vision Engineer jobs in Mountain View, CA are:

What job categories do people searching Senior Computer Vision Engineer jobs in Mountain View, CA look for?

The top searched job categories for Senior Computer Vision Engineer jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Senior Computer Vision Engineer jobs?

Cities near Mountain View, CA with the most Senior Computer Vision Engineer job openings:

Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Mountain View, CA as of June 2026, with employment types broken down into 34% Full Time, 48% Part Time, 1% Temporary, and 17% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $148,188 per year, or $71.2 per hour.

Computer Vision Engineer

Mill

San Bruno, CA • On-site

$250K/yr

Full-time

Posted 5 days ago

Job description

Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill's residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial-the industry's first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.
About the Role
We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational intelligence for commercial kitchens. Mill Commercial integrates a camera into our high-capacity food recycler; models identify and quantify food scraps, and our pipeline turns that signal into procurement and operational guidance for large food service operators.
You'll join a small, capable team, owning the modeling and training infrastructure that powers our CV technology. You will design the cloud-side evaluation harness to determine if edge models meet production targets and build the ground-truth workflows to support them. This is a hands-on IC role for someone who brings deep computer vision fundamentals to fine-tuning models, building MLOps pipelines, and establishing a methodical approach to managing system complexity.
What You'll Do
  • Train and evaluate segmentation, classification, and mass-estimation models for the Mill Commercial camera pipeline - from prompting foundation models to fine-tuning ConvNets and VLMs.
  • Optimize edge models for production performance, and operationalize and scale the ML pipeline with model lineage tracking end to end.
  • Create and curate datasets per customer/vertical - more customized, purpose-driven data - to support accuracy targets across food types, kitchen environments, and deployment configurations.
  • Analyze failure cases systematically - unfamiliar food classes, novel kitchen environments, challenging lighting and clutter conditions - and drive the data and modeling decisions that close accuracy gaps.
  • Build annotation tooling and ground-truth generation workflows, including foundation-model-assisted labeling, to keep pace with model iteration.
  • Bring a methodical approach and strong opinions, backed by experience, to the modeling and evaluation decisions you own - and partner with the team's MLOps and edge engineers on training practices, versioning, and deployment tradeoffs as they come up.
What We're Looking For
  • Strong fundamentals in computer vision and deep learning - segmentation, detection, classification, tracking - deep enough to make informed architecture calls.
  • Fluency with modern ML approaches - VLMs, LLMs, foundation models, and agentic systems - alongside classical deep learning. You know when to fine-tune a ConvNet, when to prompt a VLM, and when to wire up an agent, and you understand the practical realities of putting any of them into a product.
  • Experience evaluating ML models rigorously - designing metrics, building eval harnesses, and using results to drive product decisions rather than just publish a number.
  • Product shipping experience - you've taken a model to production and dealt with what comes after (drift, edge cases, latency budgets), not just to a benchmark.
  • Bias for action - you'd rather ship a good-enough experiment and learn from it than wait for the perfect plan.
  • Experience making build-vs-buy or tooling decisions backed by data or a clear rubric, not just instinct - you can show your work on how you got there.
  • Clear, direct communication - you can explain tradeoffs to non-technical stakeholders, push back honestly when you disagree, and write docs that others can follow.
  • Genuine interest in applying AI to food waste reduction and sustainability. This is a mission-driven product and we want people who care about the mission.
  • Software skills: Python, PyTorch, OpenCV. Experience with LLM and agent frameworks.
Nice to Have
  • Experience with video understanding (temporal consistency, tracking, video segmentation)
  • Experience with MLOps tooling (Weights & Biases, MLflow, SageMaker, ClearML, or equivalents)
  • Hardware / IoT product experience, particularly with computer vision and cameras for embedded systems

The estimated base salary range for this position is $220-250K, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.

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