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Artificial Intelligence Machine Learning Jobs in Massachusetts

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Instacart

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Instacart

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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All JobsArtificial Intelligence Machine Learning JobsArtificial Intelligence Machine Learning Jobs in Massachusetts

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$28

$53

How much do artificial intelligence machine learning jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for artificial intelligence machine learning in Massachusetts is $28.77, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $30.43 per hour, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning job?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What are some typical projects or tasks an Artificial Intelligence Machine Learning professional might work on?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Machine Learning position, and why are they important?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What is AI ML salary?

The salary for artificial intelligence and machine learning professionals varies based on experience, location, and skill level, but typically ranges from $80,000 to over $150,000 annually. Entry-level roles may start around $70,000, while experienced specialists with advanced skills in deep learning, data analysis, and programming can earn higher salaries, especially in tech hubs or companies with specialized AI projects.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, and AI Research Scientist. These positions typically require knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis.

Is AI ML a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions usually involve strategic decision-making, overseeing AI development projects, and may require advanced degrees and industry certifications. Compensation at this level reflects significant responsibility and impact within organizations or tech companies.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Massachusetts? The most popular types of Artificial Intelligence Machine Learning jobs in Massachusetts are:
What are popular job titles related to Artificial Intelligence Machine Learning jobs in Massachusetts? For Artificial Intelligence Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning jobs in Massachusetts look for? The top searched job categories for Artificial Intelligence Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Artificial Intelligence Machine Learning jobs? Cities in Massachusetts with the most Artificial Intelligence Machine Learning job openings:
Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in Massachusetts as of July 2026, with employment types broken down into 13% Internship, and 87% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $59,852 per year, or $28.8 per hour.

Research Fellow - Artificial Intelligence/Machine Learning

UMass Amherst

Amherst, MA • On-site

$70K - $110K/yr

Other

Posted 20 days ago

Job description

Title: Research Fellow - AI/ML

Executive Area: Academic Affairs

College/School/MBU: College of Information & Computer Sciences

Department: Computer Science

Work Location: Amherst

Schedule:Full Time

Work Arrangement:Onsite

Job Summary

The Center for Data Science and Artificial Intelligence (CDSAI) in the Manning College of Information and Computer Sciences (CICS) is seeking a Research Fellow to join our applied AI and machine learning team. In this role, you will design, develop, and deploy machine learning and AI solutions that support research initiatives across the university and partner institutions. You will work on technical projects from concept to production, implement best practices, and bridge cutting-edge AI research with practical, scalable applications. You will work closely with researchers, faculty, and external stakeholders to transform complex requirements into robust, deployed ML systems.

Essential Functions

Design, develop, and deploy machine learning and deep learning models for applied research projects.
Manage multiple concurrent projects, ensuring timely delivery and alignment with stakeholder needs.
Build and maintain MLOps pipelines for model training, evaluation, versioning, and deployment.
Implement scalable ML infrastructure across cloud platforms (e.g., AWS, GCP, Azure) and on-premises environments.
Develop APIs and integration layers to embed ML capabilities into applications and research workflows.
Collaborate with researchers and non-technical stakeholders to translate research questions into technical solutions.
Document technical implementations, model architectures, and research methodologies to ensure reproducibility.
Stay current with emerging AI/ML techniques and evaluate their applicability to Center projects.

Other Functions

Other duties as assigned.

Minimum Qualifications

Bachelor's degree or higher in Computer Science, Data Science, Machine Learning, or a related field.
Strong programming expertise in Python, with experience in ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
Demonstrated experience deploying ML models to production environments.
Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, DVC, Docker, CI/CD for ML).
Experience with cloud-based ML services and infrastructure (e.g., AWS SageMaker, GCP Vertex AI, Azure ML).
Ability to manage multiple projects and guide junior engineers or collaborators.
Excellent written and verbal communication skills for working with technical and non-technical stakeholders.
Demonstrated ability to work independently and solve complex technical challenges.

Preferred Qualifications

Experience with LLMs, generative AI, and prompt engineering.
Familiarity with NLP, computer vision, or time-series modeling.
Experience with distributed computing frameworks (e.g., Spark, Ray, Dask).
Background in data engineering and pipeline orchestration (e.g., Airflow, Prefect).
Prior experience in academic or research-focused settings.
Experience mentoring or leading technical teams.
Familiarity with responsible AI practices and model interpretability.

Working Conditions

Work is performed in a standard office or indoor university environment and involves minimal physical exertion.

Work Schedule and Work Arrangement

Typical office hours between 8:00 AM and 5:00 PM.

Salary Information

The salary range is $70,000-$110,000, commensurate with experience and qualifications.

Special Instructions for Applicants

Alongside your application, please include CV or resume detailing your academic and professional background, a cover letter describing your relevant experience and research interests, and the contact information for three (3) professional references.

This position will remain open for the time period required by any applicable collective bargaining agreement and will continue until a suitable candidate pool is identified. Interested applicants are strongly encouraged to apply early.

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