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Remote Machine Learning Jobs in Worcester, MA (NOW HIRING)

Tripadvisor

CRM Manager

Needham, MA · On-site +1

Remote US East Coast What You'll Do: * Campaign Strategy & Execution: * Conceptualize, develop, and ... Leverage AI and machine learning tools to enhance audience segmentation, content personalization ...

Tripadvisor

CRM Manager

Needham, MA · On-site +1

Remote US East Coast What You'll Do: * Campaign Strategy & Execution: * Conceptualize, develop, and ... Leverage AI and machine learning tools to enhance audience segmentation, content personalization ...

Motorola

Senior DevOps Engineer (US REMOTE)

Waltham, MA · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

DataAnnotation

SDLC Engineer - AI Trainer

Worcester, MA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Worcester, MA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Worcester, MA

Remote Machine Learning information

See Worcester, MA salary details

$25.4K

$42.5K

$87.8K

How much do remote machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning in Worcester, MA is $42,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Worcester, MA? The most popular types of Machine Learning jobs in Worcester, MA are:
What are popular job titles related to Remote Machine Learning jobs in Worcester, MA? For Remote Machine Learning jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Worcester, MA look for? The top searched job categories for Remote Machine Learning jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Remote Machine Learning jobs? Cities near Worcester, MA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Worcester, MA as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,491 per year, or $20.4 per hour.

Digital Product Manager - Personalization Intelligence

Amatriot Group, LLC

Marlborough, MA • On-site, Remote

$165K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Location: Hybrid or Remote (Marlbourough, MA)

Job Type: Full-Time

Target Salary Range*: $140,000 - $165,000

Position Overview

The Amatriot Group is seeking a Digital Product Manager - Personalization Intelligence to support BJ’s Wholesale Club out of Marlborough, Massachusetts. This role is responsible for defining and executing the product roadmap for AI-driven personalization, leveraging machine learning and data science to deliver intelligent customer experiences that drive engagement, conversion, and revenue across all customer touchpoints. This is a hybrid role, with Tuesday through Thursday in office at BJ’s Club Support Center in Marlborough, Massachusetts, and Monday and Friday remote. The ideal candidate is hybrid, though remote candidates in approved states will also be considered.

Key ResponsibilitiesProduct Strategy and Roadmap
  • Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints.
  • Establish clear business goals, measurable outcomes, and prioritization strategies tied to incremental revenue and customer engagement.
  • Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale.
  • Drive accountability for product execution, business outcomes, and roadmap delivery.
Machine Learning Product Lifecycle
  • Partner closely with Data Science to design, develop, and scale recommendation engines, propensity-to-buy models, predictive engagement models, and churn prediction models.
  • Own the end-to-end machine learning product lifecycle, including business case development, model training, testing, deployment, and ongoing optimization.
  • Translate machine learning outputs into actionable personalization strategies that can be tested and measured.
  • Monitor machine learning performance metrics alongside key business KPIs to continuously optimize personalization initiatives.
Experimentation, Analytics, and Performance Measurement
  • Develop experimentation frameworks and hypotheses to measure incremental business impact.
  • Collaborate with analytics teams to establish tracking, reporting, experimentation design, and performance measurement.
  • Use data-driven decision making to maximize business impact.
Cross-Functional Collaboration and Stakeholder Management
  • Partner with cross-functional teams, including Data Science, Engineering, Analytics, and Business leaders.
  • Influence technical and non-technical stakeholders through excellent verbal and written communication.
  • Collaborate across product, engineering, data science, analytics, and business teams to align priorities and deliver measurable results.
  • Balance customer needs, technical feasibility, and business priorities when making product decisions.
QualificationsExperience
  • 4+ years of Product Management experience.
  • Demonstrated experience delivering personalization platforms, recommendation systems, propensity-to-buy models, or other predictive machine learning products.
  • Experience partnering with cross-functional teams, including Data Science, Engineering, Analytics, and Business leaders.
Skills
  • Strong understanding of product discovery, prioritization, roadmap development, and stakeholder management.
  • Excellent verbal and written communication skills with the ability to influence technical and non-technical stakeholders.
  • Ability to effectively manage competing priorities while driving multiple initiatives simultaneously.
  • Demonstrated ownership throughout the product lifecycle.
  • Understanding of how AI-powered personalization supports broader business objectives, customer engagement, and revenue growth.
Other Requirements
  • Hybrid preferred; remote candidates in approved states will also be considered.
  • Tuesday through Thursday are in-office days at BJ’s Club Support Center in Marlborough, Massachusetts; Monday and Friday are remote.
  • Will consider candidates in years 2–3 of H-1B sponsorship with an approved I-140, as well as U.S. citizens and Green Card holders.
Preferred Qualifications

  • Retail or e-commerce experience strongly preferred.