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Associate Machine Learning Jobs in Massachusetts

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical properties of macromolecules, developing ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

Coding and/or machine learning experience Key Responsibilities & Accountabilities * Conduct original research as the primary responsibility of the role. * Write and co-author research papers for ...

NorthEastern

Postdoctoral Research Associate

Boston, MA

$60K - $85K/yr

The Postdoctoral Research Associate will receive professional development training, gain valuable ... Effectively design, implement, and evaluate machine learning and computational methods * Work with ...

STR

Associate Researcher

Woburn, MA

$93K - $115K/yr

The SAAM Group is seeking an Associate Researcher to research, design, develop and implement a ... Design, develop, and modify cutting-edge machine learning and other algorithms to conduct studies ...

Cartesian

Postdoctoral Associate

Cambridge, MA · On-site

... machine learning, perception, sensor fusion, and/or signal processing. • Demonstrated research output (e.g., strong publications, open-source projects, or impactful applied work) • Excellent ...

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Showing results 1-20

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Massachusetts

Associate Machine Learning information

See Massachusetts salary details

$26.5K

$139.3K

$341.5K

How much do associate machine learning jobs pay per year?

As of Jun 30, 2026, the average yearly pay for associate machine learning in Massachusetts is $139,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $193,100.00 per year, depending on experience, location, and employer.

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

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

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Massachusetts? The most popular types of Machine Learning jobs in Massachusetts are:
What are popular job titles related to Associate Machine Learning jobs in Massachusetts? For Associate Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Massachusetts look for? The top searched job categories for Associate Machine Learning jobs in Massachusetts are:
Associate Machine Learning jobs near you

Research Associate, Platform Technology

Deep Genomics

Cambridge, MA

Full-time

Medical, Dental, Vision, Life, PTO

Posted 17 days ago

Job description

About Us
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
 
Opportunity 
We are looking for a passionate and detail-oriented Research Associate to become an integral part of our Platform Technology team. This is an opportunity to contribute hands-on to an AI-driven drug discovery platform, generating the experimental data that directly informs the biological models powering our therapeutic pipeline. You will bring scientific curiosity and rigor to the bench, supporting the execution of molecular and sequencing-based assays that our computational and therapeutic teams rely on to advance program goals.
 
This role offers early-career professionals a meaningful foothold in a cross functional discovery environment, with exposure to cutting-edge technologies spanning NGS workflows, liquid handling automation, and diverse RNA therapeutic modalities including ADAR editing, ASOs, siRNAs, and mRNAs. If you are eager to develop technical breadth while contributing to work that has real therapeutic impact, we encourage you to apply.
Key Responsibilities
  • Execute amplicon sequencing workflows, including NGS library preparation and targeted sequencing, under the guidance of senior team members, to support the evaluation of RNA therapeutic candidates.
  • Carry out library QC using tools such as TapeStation, Qubit and qPCR, flagging workflow bottlenecks to ensure high-quality datasets for downstream computational analysis.
  • Operate sequencing instruments such as the Illumina NextSeq, including run setup and routine troubleshooting, with increasing independence over time.
  • Perform routine molecular biology techniques including PCR, qPCR/ddPCR, and nucleic acid extractions from a variety of cell types and tissues.
  • Assist in running automated workflows on liquid handling platforms (e.g., Hamilton STAR, Agilent Bravo, Beckman Echo) to support scaling of discovery and screening activities.
  • Maintain accurate and thorough documentation of experimental plans, results, SOPs, and troubleshooting steps within an electronic lab notebook (ELN).
  • Contribute to team meetings and share experimental results and assay updates with immediate project collaborators.
Basic Qualifications
  • BS in Molecular Biology, Genetics, Genomics, Biotechnology, Biochemistry, or a related discipline with 1-3 years of relevant industry or research experience (including internships or postgraduate research).
  • Foundational knowledge of molecular and cell biology principles.
  • Some hands-on exposure to amplicon sequencing or other targeted NGS workflows; broader NGS experience is also welcomed.
  • Experience with nucleic acid extraction, quantitation, and standard molecular biology techniques such as PCR, qPCR or d(d)PCR, gel electrophoresis.
  • Strong attention to detail and commitment to rigorous, reproducible lab work. 
  • Ability to work both independently and collaboratively in a team-oriented environment.
Preferred Qualifications
  • Proficiency with liquid handling platforms such as Hamilton, Beckman, or Bravo.
  • Working familiarity with RNA therapeutic modalities such as ADAR editing, ASOs, siRNAs, or mRNA. 
  • Experience with mammalian cell culture, including transfection-based assays.
  • Prior exposure to a biotechnology, pharmaceutical, or platform-driven research environment.
What We Offer
  • A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery. 
  • Highly competitive compensation, including meaningful stock ownership.
  • Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program. 
  • Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
  • Maternity and parental leave top-up coverage, as well as new parent paid time off. 
  • Focus on learning and growth for all employees - learning and development budget & lunch and learns.
  • Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.
Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company. 
 
If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.
 
 
*This posting reflects a current vacancy. 
 
We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $75,000 - $90,000, and reflects Cambridge, USA-based roles; compensation may differ for Canada-based candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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