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Contract Meta Machine Learning Jobs in Worcester, MA

MAPFRE

Data Engineer III (Platform)

Webster, MA · On-site

$100K - $160K/yr

Implement API observability, including logging, performance monitoring, and data contract ... Artificial intelligence, machine learning, and deep learning are a plus. Why Mapfre? As a global ...

Motorola

Senior DevOps Engineer (US REMOTE)

Waltham, MA · Remote

$140K - $170K/yr

Government Contract Mandates and access to sensitive public safety data. * Experience with ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Salary.com

Vice President Legal

Waltham, MA · On-site

$200K - $220K/yr

Lead Salary's legal and compliance strategy related to AI, machine learning, data usage, and ... Build and maintain scalable legal processes, contract playbooks, self-service tools, approval ...

Xometry

Staff Data Engineer

Waltham, MA · On-site

You will partner closely with engineering, product, analytics, and machine learning teams to ensure ... contracts, and observability that move quotes, parts, manufacturability signals, and pricing ...

Xometry

Staff Data Engineer

Waltham, MA · On-site

You will partner closely with engineering, product, analytics, and machine learning teams to ensure ... contracts, and observability that move quotes, parts, manufacturability signals, and pricing ...

Salary.com

Vice President Legal

Waltham, MA · On-site

$200K - $220K/yr

... machine learning, data usage, and emerging technologies.Develop and maintain AI governance ... Build and maintain scalable legal processes, contract playbooks, self-service tools, approval ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Worcester, MA

Contract Meta Machine Learning information

See Worcester, MA salary details

$14

$21

$25

How much do contract meta machine learning jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for contract meta machine learning in Worcester, MA is $21.28, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $22.79 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are popular job titles related to Contract Meta Machine Learning jobs in Worcester, MA?

For Contract Meta Machine Learning jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Worcester, MA look for?

The top searched job categories for Contract Meta Machine Learning jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Contract Meta Machine Learning jobs?

Cities near Worcester, MA with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Worcester, MA as of July 2026, with employment types broken down into 56% Full Time, 26% Part Time, 1% Temporary, and 17% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $44,267 per year, or $21.3 per hour.

Data Engineer III (Platform)

Webster, MA • On-site

MAPFRE
See more jobs at MAPFREexternal

$100K - $160K/yr

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago

Job description

Summary:
Do you breathe Data and speak APIs? Do you believe that data should be democratized? Do you find elegance in simplicity? If so MAPFRE USA is looking for a self-motivated team player with a growth mindset to join the Data Engineering team as a Data Engineer. You will be part of the Data Engineering team and help MAPFRE in its transformation journey to become a true Data Driven Organization.
The Data Engineer is responsible for designing, developing, and optimizing data pipelines and backend services that power MAPFRE USA's data platforms and analytical products. This role extends traditional data engineering by incorporating API development for data access, supporting the creation of secure, scalable, cloud-native data services. You will work closely with Data Product Managers, Technical Product Managers, Solution Architects, and cross-functional business partners to deliver high-quality, well-governed, production-ready data assets.
Responsibilities:
  • Build high quality cloud-native data APIs to enable secure and scalable access to enterprise data assets.
  • Collaborate with architects to design API integration patterns (event-driven, REST, GraphQL, CDC, streaming, etc.).
  • Implement API observability, including logging, performance monitoring, and data contract enforcement and monetization.
  • Mentor junior developers and team members.
  • Implement scalable and flexible, high performance data pipelines in AWS to support analytics.
  • Develop and maintain data maps and their relationships.
  • Generate associated technical documentation including follow-up reports.
  • Work with Data Governance to implement quality rules and data governance measures (data dictionary, metadata, traceability).
  • Propose and drive improvements and actions based on provided results.
  • Communicate results effectively with required teams.

Experience and Qualifications:
  • Bachelor's Degree with 6+ years of experience.
  • Well versed in Python, Node.js, TypeScript and Java.
  • System and Design thinking.
  • Deep experience in building Data APIs, REST APIs and GraphQL.
  • Experience with data pipelines in python and glue.
  • Experience with MDM tools like Realtio, TAMR.
  • Experience with automated test frameworks and tools.
  • CI/CD and Orchestration: Jira, Jenkins, Github and Airflow.
  • Past experience with data modeling tools, ETL tools (e.g. Informatica Power Center, Glue).
  • Code IDE: Microsoft Visual Code, Github Copilot.
  • Artificial intelligence, machine learning, and deep learning are a plus.

Why Mapfre?
As a global insurance leader with a strong local presence, we offer more than a job - we provide a purpose-driven career where your growth, well-being, and impact truly matter.
Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.
Comprehensive Benefits: Enjoy competitive health coverage, retirement plans, paid time off, flexible work options, and lifestyle perks like employee discounts.
Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.
Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.
Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.
Salary Range
$100,000 - $160,000
If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the Mapfre Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.
We are proud to be an equal opportunity employer.

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