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Machine Learning Ai Jobs in Massachusetts (NOW HIRING)

Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI ...

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

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Machine Learning Ai information

See Massachusetts salary details

$27.8K

$46.5K

$96.1K

How much do machine learning ai jobs pay per year?

As of Aug 2, 2026, the average yearly pay for machine learning ai in Massachusetts is $46,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Software Developer, and AI Product Manager. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and understanding of algorithms and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What is AI ML salary?

The salary for a Machine Learning Engineer or AI specialist varies based on experience, location, and skill set, but typically ranges from $80,000 to over $150,000 annually in many regions. Advanced skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch can influence compensation levels.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong industry demand can earn salaries of $500,000 or more annually, especially in high-paying sectors like technology and finance. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What cities in Massachusetts are hiring for Machine Learning Ai jobs? Cities in Massachusetts with the most Machine Learning Ai job openings:
Infographic showing various Machine Learning Ai job openings in Massachusetts as of July 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $46,507 per year, or $22.4 per hour.

Staff Machine Learning Researcher (Boston)

iO Associates - US

Boston, MA • On-site

Full-time

Posted 29 days ago


Job description

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Direct message the job poster from iO Associates - US

iO Associates are delighted to be partnered with this cutting-edge venture-backed Biotech at the forefront of combining AI and biology. They are seeking a skilled individual to join their team as a Staff Machine Learning Researcher. Located in Boston, our client is revolutionizing health technology with their innovative platform, aimed at engineering therapies for various diseases like diabetes, neurodegenerative diseases, and muscular dystrophies.


As a Staff Machine Learning Researcher, you will be pivotal in developing foundational models for single-cell RNA sequencing data. Collaborating with a team of experienced machine learning researchers and computational biologists, you will design advanced AI solutions to drive their therapy platform forward.

If you are a passionate machine learning expert eager to explore biological discoveries through AI models, this role is perfect for you.

Responsibilities:

  • Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data
  • Collaborate with computational biologists to ensure models generate biologically meaningful outputs
  • Design and implement innovative deep learning architectures tailored to biological data
  • Build scalable pipelines for training and inference across vast biological data sets
  • Provide mentoring and technical guidance to fellow machine learning researchers
  • 6+ years of machine learning experience, preferably in biological applications
  • Master's degree or higher in Computer Science, Artificial Intelligence, or related field
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Track record of building and optimizing large-scale models, including transformer-based architectures
  • Passion for AI-driven biology and health care transformation
  • PhD with a strong publication track record in machine learning or computational biology journals
  • Background in biological research and modeling, particularly in single-cell RNA sequencing
  • Familiarity with reinforcement learning, diffusion models, or multi-modal architectures applied to high-dimensional data
  • Experience in fast-paced environments or start up settings

Applicant must be based or commutable to Boston.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionScience

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