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Contract Meta Machine Learning Jobs in Boston, MA

Meta

Product Manager

Boston, MA

$173K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

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

As of Sep 11, 2026, the average hourly pay for contract meta machine learning in Boston, MA is $23.17, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $24.81 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 Boston, MA?

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

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

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

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

Cities near Boston, 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 Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,196 per year, or $23.2 per hour.

Software Engineering Manager, Compilers, MTIA

Boston, MA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$219K/yr

Full-time

Posted 29 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

As a Software Engineering Manager in the MTIA Software team, you will lead the development of LLVM compiler infrastructure and early software development platforms like simulators, which will be used by the whole software team to accelerate Meta's AI workloads on custom accelerators. Your work on LLVM compiler infrastructure directly influences ISA design and hardware/software co-design decisions. The simulators you build will be critical for pre-silicon development, allowing the whole team to develop software before hardware is available. This program is a key AI infrastructure initiative, and the the team values deep technical contributions with extensive knowledge sharing.
Software Engineering Manager, Compilers, MTIA Responsibilities:
  • Drive development of the LLVM compiler toolchain and early software development platforms, including cycle-accurate and functional simulators. You will lead teams of engineers and technical leaders delivering large-scale projects across compiler infrastructure and simulator development
  • Stay technically engaged, contributing hands-on through AI tools to evaluate the technical direction and quality across your team
  • Build and mentor engineers into AI-era leaders while maintaining high engineering craft standards
  • Form trusted cross-functional partnerships across software, hardware, and model teams while actively shaping strategy and roadmaps
  • Drive AI adoption across teams to expand delivery capacity, improve engineering workflows, and maintain technical engagement with system architecture and code quality

Minimum Qualifications:
  • 5+ years of experience managing a software engineering team
  • Experience with compiler architecture and development, particularly ML compilers or domain-specific languages (DSLs)
  • Proven understanding and experience in executing full product life cycles (prototyping, deployment, and support)
  • Experience managing engineering teams, including experience in managing other engineering leaders or technical leads

Preferred Qualifications:
  • Experience working closely with hardware architectures such as SIMD, GPU, RISC-V, and AI accelerators
  • Experience with LLVM compiler infrastructure and MLIR
  • Experience with RISC-V architecture and custom ISA tooling
  • Experience in hardware-software development environments such as simulators and emulators
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Knowledge of ML frameworks like PyTorch
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Track record of driving AI-native engineering practices within an engineering organization, including integrating AI tools into development and review workflows

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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