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Machine Learning Engineer Associate Jobs in Gardner, MA

The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research ... Strong programming skills in Python and deep learning frameworks (PyTorch preferred) * Experience ...

Design, develop and deploy machine learning and deep learning models for clinical applications ... Contribute to software architecture, code reviews, and engineering best practices to ensure ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Design, develop and deploy machine learning and deep learning models for clinical applications ... Contribute to software architecture, code reviews, and engineering best practices to ensure ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Design, develop and deploy machine learning and deep learning models for clinical applications ... Contribute to software architecture, code reviews, and engineering best practices to ensure ...

Post-Doctoral Fellow

Worcester, MA · On-site

$65K - $75K/yr

Substantial training in and knowledge of machine learning techniques and strong programming skills. * Effective communication in English, both orally and in writing, and ability to interact with ...

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Machine Learning Engineer Associate information

See Gardner, MA salary details

$44K

$87.5K

$139.8K

How much do machine learning engineer associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer associate in Gardner, MA is $87,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $100,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What cities near Gardner, MA are hiring for Machine Learning Engineer Associate jobs?

Cities near Gardner, MA with the most Machine Learning Engineer Associate job openings:

Infographic showing various Machine Learning Engineer Associate job openings in Gardner, MA as of June 2026, with employment types broken down into 67% Full Time, 31% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $87,549 per year, or $42.1 per hour.

Senior Machine Learning Engineer - Worcester - LLM/Ai/Rag

Motion Recruitment Partners, LLC

Worcester, MA • On-site

$104K - $143K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

About the Opportunity
A global provider of digital research and decision-support products is adding a Machine Learning Engineer to its Worcester, Massachusetts team. This hybrid position will focus on converting emerging AI capabilities into secure, scalable features used within complex professional software platforms.
The engineer will work across the applied AI stack, from model experimentation and retrieval design through production integration. Key areas include generative AI, large language model applications, intelligent search, and agent-based systems that help users navigate and interpret high-value information.
Core Requirements
Proven success delivering machine learning or artificial intelligence systems in production environments
Practical experience designing applications that use LLMs, AI agents, and tool-driven workflows
Knowledge of RAG patterns, embedding models, vector stores, and relevance-focused retrieval techniques
Familiarity with operational ML practices such as testing, deployment automation, observability, and model governance
Strong Python development skills and sound software engineering fundamentals
Experience building cloud-native solutions with AWS and container orchestration platforms such as Kubernetes
Preferred Background
Exposure to legal technology, enterprise search, publishing, compliance, or another information-dense product domain
At least 12 years of software development experience, or 8+ years of development experience together with a PhD
Bachelor's degree or higher in computer science, machine learning, engineering, or a closely related field
Your Impact
Key Responsibilities
Serve as a hands-on engineer responsible for design, implementation, testing, and delivery
Build AI-powered capabilities that support research, summarization, discovery, and knowledge-based decision making
Architect distributed machine learning services that can perform reliably across a large enterprise product ecosystem
Develop and connect retrieval pipelines, model services, agent frameworks, and supporting APIs
Partner with application, platform, data, and security teams to ensure solutions meet requirements for performance, resilience, privacy, and scale
Compensation and Benefits
Eligible for a performance-based bonus program
Employees receive access to:
Comprehensive medical insurance
Dental insurance
Vision insurance
Paid time off and company leave programs
401(k) retirement plan, including an employer match where applicable
This position follows a hybrid schedule based in Worcester, Massachusetts.
Candidates must be authorized to work full-time in the United States both now and in the future.