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Machine Learning Engineer Apprenticeship Jobs in Worcester, MA

SharkNinja

Machine Learning and AI Opportunities

Needham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cross-Functional Leadership Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics ... We empower your personal and professional growth with high impact Learning Programs featuring bold ...

Waters Corporation

Principal Data Engineer

Milford, MA · Hybrid

As a Principal Data Engineer , you will be a senior technical contributor who partners closely with ... Support analytical and machine learning workflows from raw data ingestion through downstream ...

Waters Corporation

Principal Data Engineer

Milford, MA · On-site

As a Principal Data Engineer , you will be a senior technical contributor who partners closely with ... Support analytical and machine learning workflows from raw data ingestion through downstream ...

Waters Corporation

Principal Data Engineer

Milford, MA · Hybrid

As a Principal Data Engineer , you will be a senior technical contributor who partners closely with ... Support analytical and machine learning workflows from raw data ingestion through downstream ...

3ds

INTERNSHIP: AI for CFD

Waltham, MA · On-site

Experience applying machine learning to engineering or scientific problems * Experience developing or validating surrogate models or reduced-order models * Familiarity with large language models ...

Xometry

Senior Principal, ML/AI

Waltham, MA · On-site

$135K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis) * 12+ years of ...

Xometry

Senior Principal, ML/AI

Waltham, MA · On-site

$135K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis) * 12+ years of ...

RIT Solutions, Inc.

Systems Engineer III

Waltham, MA · On-site

... utilizing AI and machine learning to enhance mRNA vaccine research and development ... engineering, AI/ML, and pharmaceutical sciences, the role contributes to build scalable digital ...

Xometry

Mechanical Engineer, AI Integration

Waltham, MA · Hybrid

$82K - $97K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner daily with Data Scientists and Machine Learning engineers to provide the "ground-truth" engineering logic required to train Generative AI models. * Multimodal Data Processing: Assist in ...

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Showing results 41-60

All JobsMachine Learning Engineer Apprenticeship JobsMachine Learning Engineer Apprenticeship Jobs in Worcester, MA

Machine Learning Engineer Apprenticeship information

See Worcester, MA salary details

$30.4K

$68.5K

$115.2K

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

As of Aug 12, 2026, the average yearly pay for machine learning engineer apprenticeship in Worcester, MA is $68,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $74,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

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

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Worcester, MA? For Machine Learning Engineer Apprenticeship jobs in Worcester, MA, the most frequently searched job titles are:
Machine Learning Engineer Apprenticeship jobs near you
Infographic showing various Machine Learning Engineer Apprenticeship job openings in Worcester, MA as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $68,467 per year, or $32.9 per hour.

Machine Learning and AI Opportunities

SharkNinja

Needham, MA • Remote

Full-time

Re-posted 4 days ago

SharkNinja rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

45th of 157 rated electronics manufacturers

Job description

Note:  This is a Pipeline Opening and Not Tied to A Specific Opening

The AI Product Manager owns strategy, roadmap, and delivery for AI initiatives across the enterprise. This role translates business objectives into a clear prioritized backlog, collaborating with engineering teams and external partners to deliver impactful solutions that drive measurable business impact through revenue growth or new operational efficiencies. The Product Manager works closely with Global Data Product Management, including Data and MDM, to ensure AI products are built on trusted, standardized data foundations. The role requires strong judgment in application integrations and build vs. buy tradeoffs, balancing speed, cost, and enterprise standards.

Key Responsibilities

Area

What You'll Own

Product Strategy & Vision

Define a 3-9-month AI roadmap aligned to company strategic goals, with clear problem statements and value hypotheses to maximize value.

Portfolio & Roadmap

Convert strategy into prioritized increments with PRDs, acceptance criteria, and release plans; keep a transparent backlog.

Evaluation & Experimentation

Own evaluation for AI features: offline tests, human and automated evals, and online A/B experiments to optimize quality, latency, and cost effectiveness. Publish decision logs for model, prompt, and dataset changes.

Responsible AI & Guardrails

Define safety, privacy, and compliance requirements; implement guardrails and review rituals with Security and Legal; ensure traceability of data, prompts, and outputs.

Application Integrations

Define product requirements for API-first and event driven integrations across CRM/ERP/eCommerce and data platforms; align on data contracts, SLAs, auth/PII handling, and system  observability with Platform teams.

Build vs Buy

Lead structured tradeoff analyses (TTV, TCO, vendor lock in, differentiation, compliance). Run proofs of value with vendors when needed and  recommend paths forward, highlighting risks and contingency plans..

CrossFunctional Leadership

Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics, and Business stakeholders; keep scope, risks, and dependencies visible.

Impact Measurement

Define clear KPIs that connect business outcomes to product performance, and provide executives with simple, actionable reporting against those targets.

Partnerships

Collaborate with Director, ML and AI, Security, Legal, Procurement, and Global Data Product Management (Data and MDM) to align standards, governance, and delivery.

 

Required Qualifications

  • 5+ years in product management with shipped data or AI features tied to measurable outcomes.
  • Proven ownership of evaluation and experimentation for AI features (offline metrics, human/auto evals, and A/B testing).
  • Handson experiences driving application integrations at enterprise scale (APIled and iPaaS patterns, SLAs, data contracts, identity).
  • Demonstrated ability to lead build vs. buy decisions, supported by clear financial models and risk analyses.
  • Excellent executive communication and stakeholder leadership.

Preferred Qualifications

  • Experience optimizing Amazon sales and ad channels.
  • Experience with Salesforce Cloud and CDP integrations.
  • Exposure to LLMOps practices (prompt versioning, guardrails, eval frameworks), vector search/RAG, or model observability.

 Success Metrics (first 12 months)

  • AI roadmap approved and in execution within 90 days.At least two AI product increments shipped with adoption targets met.
  • Application integrations delivered on time with measurable data quality and reliability improvements.
  • At least two major technology decisions completed with a formal build vs. Buy analysis and exec approval.
  • AI initiatives deliver a minimum 5x ROI on Capex investments, contributing directly to revenue growth.

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