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Computer Vision Machine Learning Jobs in Boston, MA

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

This role centers on leading the design and delivery of advanced computer vision and perception ... Lead the design and development of machine learning systems for computer vision and perception ...

SynergisticIT

Machine Learning Engineer

Boston, MA

Work with an international top-notch engineering team with full commitment on Machine Learning ... Good understanding about the mainstream deep learning models from multiple domains: computer vision ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Quali fications MS in Computer Science, Data Science, Statistics, Computational Biology ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Quali fications MS in Computer Science, Data Science, Statistics, Computational Biology ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ... with Computer Vision, Signals Processing preferred - Must be authorized to work in the United ...

Neurable, INC

Machine Learning

Cambridge, MA

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ... with Computer Vision, Signals Processing preferred - Must be authorized to work in the United ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

This is an opportunity to design, build, and scale machine learning systems that combine structured clinical data with outputs from our core computer vision models to improve patient care and ...

CarGurus

Machine Learning Operations Engineer

Boston, MA

$124K - $149K/yr

... computer vision, and instant market value; develop, implement, and integrate production-quality ... Machine learning (ML) lifecycle, including model training, evaluation, deployment, and monitoring;

Autodesk

Machine Learning Engineering Manager

Boston, MA · On-site

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... Strong fundamentals in 3D geometry and geometric computer vision * Exposure to Cloud Computing in ...

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

Master's or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field. * Experience developing within the ROS2 ecosystem. Benefits

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

Master's or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field. * Experience developing within the ROS2 ecosystem. Benefits

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All JobsComputer Vision Machine Learning JobsComputer Vision Machine Learning Jobs in Boston, MA

Computer Vision Machine Learning information

See Boston, MA salary details

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How much do computer vision machine learning jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for computer vision machine learning in Boston, MA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $23.75 per hour, depending on experience, location, and employer.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field within machine learning, with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Professionals in this area often work with deep learning frameworks such as TensorFlow or PyTorch and require strong programming skills. The demand for computer vision expertise continues to grow as technology advances.

What engineers make $500,000?

Senior computer vision machine learning engineers with extensive experience, advanced skills in deep learning frameworks, and a strong track record in deploying scalable AI systems can earn salaries approaching or exceeding $500,000, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on product development.

What are the key skills and qualifications needed to thrive as a Computer Vision Machine Learning Engineer, and why are they important?

To thrive as a Computer Vision Machine Learning Engineer, you need strong foundations in mathematics, programming (especially Python or C++), and expertise in machine learning algorithms, typically supported by a degree in computer science, engineering, or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch and experience with image processing libraries are essential, along with knowledge of version control systems. Strong problem-solving, collaboration, and communication skills help you translate complex requirements into effective models and work efficiently in multidisciplinary teams. These skills ensure the development of robust computer vision solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Computer Vision Machine Learning engineers when deploying models to production environments?

Computer Vision Machine Learning engineers often encounter challenges such as ensuring models perform well on real-world, diverse image data that may differ from training datasets. Managing computational efficiency and latency is crucial, especially for real-time applications. Additionally, integrating models with existing software systems and maintaining accuracy as data evolves can be complex. Collaboration with data engineers, software developers, and product teams is essential to address these challenges and ensure smooth deployment and monitoring.

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

AspectComputer Vision Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataBusiness, finance, healthcare sectors analyzing diverse data sets
Industry UsageDeveloping visual recognition systems, image processingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve machine learning, Computer Vision Machine Learning specializes in visual data and image processing, whereas Data Scientists work with a broader range of data types to generate insights across various industries.

Which has more salary, CS or AI?

Computer Vision Machine Learning roles, often within AI, tend to have higher salaries than general computer science positions due to specialized skills in deep learning, neural networks, and data analysis. AI roles typically require advanced knowledge of algorithms and tools like TensorFlow or PyTorch, which are highly valued in the job market. Salary differences can vary based on experience, location, and industry, but AI-focused positions generally offer higher compensation.

Which 5 jobs will survive AI?

For a Computer Vision Machine Learning role, jobs that require complex problem-solving, creativity, and human judgment are more likely to persist, such as research scientists, AI ethics specialists, data engineers, software developers, and domain-specific analysts. These roles often involve tasks that are difficult to automate fully and benefit from specialized expertise, continuous learning, and adaptability. Skills in programming, deep learning frameworks, and understanding of real-world applications remain valuable in these positions.

What is a Computer Vision Machine Learning Engineer?

A Computer Vision Machine Learning Engineer is a professional who develops algorithms and models that enable computers to interpret and understand visual data from the world, such as images and videos. They use techniques from machine learning, deep learning, and image processing to build systems capable of tasks like object detection, image classification, facial recognition, and scene understanding. Their work is critical in fields such as autonomous vehicles, healthcare imaging, security, and augmented reality. These engineers typically have strong skills in programming, mathematics, and data analysis, and often work closely with data scientists and software developers.
What are popular job titles related to Computer Vision Machine Learning jobs in Boston, MA? For Computer Vision Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Machine Learning jobs in Boston, MA look for? The top searched job categories for Computer Vision Machine Learning jobs in Boston, MA are:
Computer Vision Machine Learning jobs near you

Data Scientist - Machine Learning

Caris Life Sciences

Boston, MA • On-site

Full-time

Posted yesterday

Job description

Job Summary:
Caris Life Sciences is dedicated to transforming cancer care through precision medicine and innovative solutions. They are seeking a Data Scientist specializing in Machine Learning to develop novel models that integrate molecular and clinical data to enhance cancer biology understanding and improve patient outcomes.
Responsibilities:
• Design, build, and iteratively refine novel machine learning models using modern architectures and classical statistical methods to address translational oncology questions.
• Develop and apply multi‑modal modeling approaches integrating RNA‑seq expression data with mutations, copy number alterations, fusions, protein markers, and clinical metadata.
• Translate model outputs into improvements on the Caris clinical diagnostic platform to support improved treatment predictions.
• Publish results in peer‑reviewed journals and present findings at scientific conferences and internal forums.
• Support collaborations with biopharma partners by providing analytical expertise, developing custom analyses, and communicating results to external stakeholders.
• Stay current with advances in machine learning research, tools, architectures, and emerging development paradigms.
Qualifications:
Required:
• Ph.D. in Computer Science, Computational Biology, Applied Mathematics, or a related quantitative field; or M.S. degree with 3+ years of relevant professional experience.
• Deep familiarity with modern machine learning approaches including representation learning, attention‑based architectures, foundation models, and self‑supervised learning.
• Working knowledge of statistical modeling concepts relevant to clinical data, including generalized linear models, survival analysis, and Bayesian methods.
• Demonstrated experience building and applying novel machine learning models beyond off‑the‑shelf solutions.
• Proficiency in Python and the scientific computing ecosystem (PyTorch or TensorFlow, scikit‑learn, pandas, NumPy, SciPy).
• Strong written and verbal communication skills.
• Familiarity with Linux environments and Git.
• Proficient in Microsoft Office Suite including Word, Excel, Outlook, and business internet tools.
Preferred:
• Understanding of cancer and molecular biology with experience using large‑scale genomics datasets.
• Peer‑reviewed publications in machine learning or computational biology.
• Experience with computer vision for digital pathology.
• Experience with natural language processing of EHR or real‑world data.
• Experience deploying models in cloud environments and MLOps practices.
Company:
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology. Founded in 2008, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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