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Machine Learning Jobs in Fall River, MA (NOW HIRING)

The ideal candidate combines strong machine learning expertise with a background in immunology. This position reports directly to the CTO and has close working relationships with the technology ...

The ideal candidate combines strong machine learning expertise with a background in immunology. This position reports directly to the CTO and has close working relationships with the technology ...

Data analysis and visualization, statistical testing, regression analysis, machine learning and deep learning model development and evaluation * Contribute to modelling and analysis of: * 3D computer ...

Data analysis and visualization, statistical testing, regression analysis, machine learning and deep learning model development and evaluation * Contribute to modelling and analysis of: * 3D computer ...

Senior AI/ML Engineer

Middletown, RI · On-site

$104K - $142K/yr

Experience designing and deploying machine learning systems into production environments. * Experience with: * Supervised and unsupervised learning * Time-series modeling * Deep learning ...

Machine Operator

North Kingstown, RI · On-site

$16.50 - $19.50/hr

... trainers and continuous learning opportunities tailored to your growth and ambition ... The Machine Operator will operate various card production equipment to personalize debit/credit ...

Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning * Keep up to date with the latest research and tooling in LLMs, agentic AI, and ML * Educate other team ...

Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning * Keep up to date with the latest research and tooling in LLMs, agentic AI, and ML * Educate other team ...

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Showing results 1-20

Machine Learning information

See Fall River, MA salary details

$25.6K

$42.7K

$88.3K

How much do machine learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning in Fall River, MA is $42,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,200.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are popular job titles related to Machine Learning jobs in Fall River, MA? For Machine Learning jobs in Fall River, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Fall River, MA look for? The top searched job categories for Machine Learning jobs in Fall River, MA are:
What cities near Fall River, MA are hiring for Machine Learning jobs? Cities near Fall River, MA with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Fall River, MA as of May 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,747 per year, or $20.6 per hour.
AI/ML Scientist

Full-time

Posted 2 days ago


Job description


AI/ML Scientist


Company Overview:

EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell epitope identification and characterization, we employ a wide range of validated in silico and in vitro techniques. This comprehensive approach provides accurate and thorough insights into candidate immunogenicity, ensuring the effectiveness and safety of our clients' products.

Role Summary:

EpiVax is seeking an AI/ML Scientist to expand its technology team. The AI/ML Scientist will focus on analyzing large-scale biological datasets and on developing new models to advance our understanding of the adaptive immune system, as it relates to therapeutic development. The ideal candidate combines strong machine learning expertise with a background in immunology. This position reports directly to the CTO and has close working relationships with the technology, bioinformatics, and programming teams.

Key Responsibilities:

  • Play a leading role in sustaining EpiVax's competitiveness in the field of Computational Immunology
  • Design and implement cutting-edge machine learning and deep learning models to analyze large-scale immunological datasets
  • Design and implement generative AI frameworks to advance and streamline the analysis of protein and peptide sequences
  • Collaborate with the IT and programming teams to integrate new models into EpiVax's analysis platform
  • Collaborate with the scientific team to translate findings into publications or presentations
  • Maintain and improve professional knowledge of technological advancements in immunogenicity assessment, data manipulation, statistical analyses, machine learning, and AI

Qualifications:

  • M.S. or Ph.D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent
  • 2+ years of industry experience
  • Demonstrated success applying AI/ML to biological datasets, ideally in immunology related contexts
  • Experience with cloud computing and high-performance data infrastructure



Technical Skills:

  • Technical background in AI/ML techniques, including generative AI and Large Language Models
  • Strong understanding of statistical modeling, feature engineering, and model interpretability
  • Intermediate understanding of immunology, biology, or biochemistry
  • Proficiency in Python and R, and deep learning frameworks such as PyTorch or TensorFlow.
  • Advanced expertise in T cell biology is preferred
  • Proficiency with PL/SQL and Oracle databases is preferred
  • Experience with structural biology modeling techniques is a plus
  • Strong scientific curiosity and ability to translate biological questions into computational strategies
  • Excellent communication skills to convey complex analyses across interdisciplinary teams

EpiVax is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status


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About EpiVax

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Providence, RI, US

Year founded

1998

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