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Computer Vision Machine Learning Engineer Jobs in San Francisco, CA

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

Required : • 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields. • Strong experience in machine learning, with a focus on edge AI and lightweight model ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Preferred Qualifications * BS, MS or higher degree in Computer Science, Robotics, Engineering or a ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$140 - $210/hr

Develop, test, and modify computer programs to apply machine learning models to real-world ... Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.

Articul8

Machine Learning Engineer

Dublin, CA · On-site

$90 - $130/hr

Required Qualifications * BS/MS/PhD in Computer Science or a related field. * Proficiency in at ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

Required Qualifications: * BS/MS/PhD in Computer Science or a related field. * Proficiency in at ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field * Demonstrated expertise in model development, optimization, and algorithmic ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... You have an undergraduate or graduate degree in computer science or similar technical field, with ...

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All JobsComputer Vision Machine Learning Engineer JobsComputer Vision Machine Learning Engineer Jobs in San Francisco, CA

Computer Vision Machine Learning Engineer information

See San Francisco, CA salary details

$57.1K

$143.2K

$162K

How much do computer vision machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computer vision machine learning engineer in San Francisco, CA is $143,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $154,900.00 per year, depending on experience, location, and employer.

What does a computer vision machine learning engineer do?

A Computer Vision Machine Learning Engineer designs and develops algorithms that enable computers to interpret and understand visual data from the world, such as images and videos. They use machine learning techniques to train models for tasks like object detection, facial recognition, and image segmentation. These engineers typically work with large datasets, optimize models for accuracy and efficiency, and deploy solutions for real-world applications in industries like healthcare, automotive, robotics, and retail.

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

To thrive as a Computer Vision Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and experience with image processing algorithms. Proficiency with frameworks like TensorFlow or PyTorch, knowledge of OpenCV, and experience with cloud computing platforms are commonly required. Problem-solving ability, teamwork, and effective communication are crucial soft skills for integrating complex models into real-world applications. These skills and qualities are essential for developing innovative solutions that accurately interpret visual data and drive impactful results.

What are some common challenges computer vision machine learning engineers face when deploying models to production environments?

One common challenge for Computer Vision Machine Learning Engineers is ensuring that models perform reliably in real-world conditions, which can vary significantly from controlled training datasets. Handling data drift, optimizing inference speed for deployment on edge devices, and integrating models into existing software pipelines all require close collaboration with software engineers, data scientists, and product teams. Additionally, managing hardware resource constraints and maintaining model accuracy as new data is collected are ongoing responsibilities. Staying up to date with the latest research and tools is essential to address these evolving challenges effectively.

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

AspectComputer Vision Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with CV frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops CV models, works with image/video data, often in AI/tech companiesAnalyzes data, builds predictive models, often in finance, healthcare, or tech
Industry UsageCommon in AI, robotics, autonomous vehicles, surveillanceUsed across finance, marketing, healthcare, and tech sectors

While both roles involve machine learning, Computer Vision Machine Learning Engineers focus on developing models for image and video data, often requiring specialized knowledge in CV frameworks. Data Scientists analyze diverse datasets to extract insights, with less emphasis on visual data. Both roles share foundational ML skills but differ in their application domains.

Are computer vision machine learning engineers in demand?

Computer vision machine learning engineers are in high demand due to the growth of AI applications in industries such as healthcare, automotive, and security. Skills in deep learning frameworks like TensorFlow or PyTorch and experience with image processing are highly valued, and the role often offers competitive salaries and opportunities for advancement.

What are popular job titles related to Computer Vision Machine Learning Engineer jobs in San Francisco, CA?

For Computer Vision Machine Learning Engineer jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Machine Learning Engineer jobs in San Francisco, CA look for?

The top searched job categories for Computer Vision Machine Learning Engineer jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Computer Vision Machine Learning Engineer jobs?

Cities near San Francisco, CA with the most Computer Vision Machine Learning Engineer job openings:

Computer Vision Machine Learning Engineer jobs near you
Infographic showing various Computer Vision Machine Learning Engineer job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $143,166 per year, or $68.8 per hour.

Machine Learning Engineer

NR Consulting

Fremont, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI applications. The role involves collaborating with hardware and software teams, optimizing models for embedded platforms, and providing technical leadership to junior engineers.
Responsibilities:
• Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
• Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
• Work closely with hardware and software teams to integrate ML models into production systems.
• Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
• Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
• Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
• Provide technical leadership and mentorship to junior engineers.
• Publish research findings, present at conferences, and contribute to open-source projects when applicable.
Qualifications:
Required:
• 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields.
• Strong experience in machine learning, with a focus on edge AI and lightweight model deployment.
• Expertise in ML frameworks such as PyTorch, TensorFlow, JAX.
• Proficiency in programming languages such as C/C++, Python, and experience with ML model optimization.
• Ability to work independently and collaboratively in a fast-paced startup environment.
Preferred:
• Understanding of ML compiler and runtime design.
• Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
• Familiarity with hardware acceleration techniques.
• Experience in embedded system development.
Company:
NR Consulting is an information technology consulting firm that offers contingent hiring, direct hires, and managed IT services. Founded in 2017, the company is headquartered in Boulder, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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