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Machine Learning Ai Developer Jobs in Somerville, MA

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Roberts Recruiting

AI Developer

Boston, MA

Robotics, human-robot interaction, game development, agent AI, autonomous planning, machine learning, probabilistic reasoning, etc. * Strong programming skills, preferably with JavaScript ...

Autodesk

Machine Learning Engineering Manager

Boston, MA

$148.50K - $266.20K/yr

AI is the future of design and make, and Autodesk is pioneering the transformation of the AEC ... machine learning engineering or related field * 3+ years of experience as a manager * Experience ...

The Hollister Group

AI Developer

Boston, MA · On-site

$70 - $110/hr

AI Developer We are The Hollister Group , the Boston area's leading women-owned staffing firm. We ... Design, build, and deploy AI and machine learning solutions leveraging Large Language Models (LLMs ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

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 ...

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How much do machine learning ai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for machine learning ai developer in Somerville, MA is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $66.11 per hour, depending on experience, location, and employer.

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

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What are popular job titles related to Machine Learning Ai Developer jobs in Somerville, MA? For Machine Learning Ai Developer jobs in Somerville, MA, the most frequently searched job titles are:
Machine Learning Ai Developer jobs near you
Infographic showing various Machine Learning Ai Developer job openings in Somerville, MA as of May 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $121,162 per year, or $58.3 per hour.

Machine Learning Engineer

Nanite Inc.

Boston, MA • On-site

Full-time

Posted 20 days ago

Job description

Our mission is to deliver the undeliverable.
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.
Essential Functions and Duties
  • Design and implement complex data engineering processes to support innovative data science modeling
  • Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
  • Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
  • Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
  • Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
  • Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications
MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience.
Knowledge, Skills, and Abilities
  • Track record developing statistical and machine learning models for complex and unconventional real-life problems
  • Strong mathematical and coding skills
  • Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
  • Familiarity with ML workflow best practices.
  • Interest in applications of machine learning in biotechnology
  • Strong communication skills, both written and verbal
  • Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):
  • Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
  • Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.

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