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Artificial Intelligence Machine Learning Jobs in Massachusetts

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... and artificial intelligence algorithms and analytics to make sense of the complexity that is ...

Machine Learning Engineer

Woburn, MA · On-site

$115 - $140/hr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... and artificial intelligence algorithms and analytics to make sense of the complexity that is ...

Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive CRM Marketing optimization and automation including ...

Machine Learning Engineer

Boston, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... and artificial intelligence algorithms and analytics to make sense of the complexity that is ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... and artificial intelligence algorithms and analytics to make sense of the complexity that is ...

Showing results 41-60

Artificial Intelligence Machine Learning information

See Massachusetts salary details

$15

$28

$53

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

As of Aug 22, 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?

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 does an artificial intelligence machine learning professional do?

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 artificial intelligence machine learning?

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.

Is artificial intelligence machine learning 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 jobs can I get with artificial intelligence machine learning?

Artificial Intelligence and Machine Learning professionals can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, and AI Software Developer. These roles typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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 cities in Massachusetts are hiring for Artificial Intelligence Machine Learning jobs?

Cities in Massachusetts with the most Artificial Intelligence Machine Learning job openings:

Infographic showing various Artificial Intelligence Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,852 per year, or $28.8 per hour.

Senior Expert I / Senior Expert II** Data Science

Novartis

Cambridge, MA • Hybrid

$138K - $198K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Novartis rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical


Job description

Job Description Summary

What if your data scienceexpertisecould help shape safer medicines for millions of patients worldwide? As a Senior Expert I or Senior Expert II Data Science, you will apply advanced artificial intelligence, machine learning, and computational modelling to tackle complex scientific challenges and influence critical decisions across drug discovery and early development. Working within a highly collaborative, multidisciplinary environment, you will transform diverse biological and scientific data into meaningful insights that helpidentifyrisks earlier, accelerate innovation, and support the development of life-changing medicines.


Job Description

#LI-Hybrid

Location: Cambridge, Massachusetts, United States

Relocation Support: This role is based in Cambridge, Massachusetts, United States. Novartis is unable to offer relocation support: please only apply if accessible.

Key Responsibilities

  • Develop innovative artificial intelligence and machine learning solutions to support critical scientific decision-making.

  • Build scalable data pipelines that enable efficient analysis, model development, and insight generation.

  • Apply advanced analytical methods to solve complex research and business challenges.

  • Integrate diverse datasets to uncover meaningful patterns and actionable opportunities.

  • Create predictive models that helpidentifyrisks and support informed decision-making.

  • Partner with cross-functional experts to advance project goals and drive innovation.

  • Ensurehigh standardsof model quality, validation, reproducibility, and performance.

  • Communicate complex findings clearly to both technical and non-technical audiences.

Essential Requirements

  • Doctorate degree in Data Science, Machine Learning, Statistics, Bioinformatics, Computational Biology, ora relatedfield.

  • Experience working with large and complex scientific, healthcare, or research datasets.

  • Strong programming skills using Python or a comparable programming language.

  • Experience building and deploying end-to-end data science and machine learning solutions.

  • Strong understanding of statistics, predictive modelling, validation techniques, and performance evaluation.

  • Experience working with databases and modern data processing technologies.

  • Excellent collaboration, problem-solving, and communication skills within multidisciplinary environments.

Desirable Requirements

  • Experience in drug discovery, toxicology, predictive safety, or pharmacology.

  • Experience with generative artificial intelligence, explainable artificial intelligence, graph machinelearningor agentic workflows

**AppointmentlevelSenior Expert I/Senior Expert IIwill bedeterminedbased on the successful candidate's experience and qualifications.

Commitment to Diversity & Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverseteamsrepresentative of the patients and communities we serve.

Equal Opportunity Employment

Novartisprovidesequal employment opportunities to all qualified individuals. Employment decisions are made without regard to race,colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristicin accordance withapplicable laws.

Compensation & Benefits

Senior Expert I Data Science: $126,000.00 - 180,000.00 - 234,000.00 USD Annualper year;

Senior Expert II Data Science: $138,600.00 - 198,000.00 - 257,400.00 USD Annualper year.

Final compensation will bedeterminedbased on relevant skills, experience, qualifications, geographic location, and internal equity.

In addition to base compensation, this position is eligible for a performance-based cash incentive and may be eligible for annual equity awards. US-based eligible employees receive health,lifeand disability benefits, a 401(k) plan with company contribution and match, wellbeing and financial benefits, and generous paid time off including vacation, personal days,holidaysand other leave benefits.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$126,000.00 - $234,000.00


Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

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