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Contract Meta Machine Learning Jobs in Pittsburgh, PA

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Contract to Hire Years Of Experience Required : 10+ Years Industry Background: Finance / Banking ... Machine learning model solution design, build, orchestration and implementation * Experience ...

Contract to Hire Hours: Standard business hours Overview: Join a cutting-edge lab to discover novel ... Apply statistical modeling, machine learning, and AI for predictive analytics and pattern ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Contract-to-hire at 12-month mark or before, must be US Citizen or GC Holder/GC EAD. Also can ... and machine learning space good in finance - Pittsburgh and Lake Mary are available office ...

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Contract Meta Machine Learning information

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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 Pittsburgh, PA is $20.71, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $22.16 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 Pittsburgh, PA?

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

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

The top searched job categories for Contract Meta Machine Learning jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Contract Meta Machine Learning jobs?

Cities near Pittsburgh, PA with the most Contract Meta Machine Learning job openings:

Infographic showing various Contract Meta Machine Learning job openings in Pittsburgh, PA as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,068 per year, or $20.7 per hour.

Research Scientist, Computer Vision (PhD)

Pittsburgh, PA

Meta
Internet and IT • 10K+ employees

$122K/yr

Full-time

Posted 8 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

Meta is seeking a Research Scientist to advance computer vision and AI research in support of Meta's broader mission to build the next generation of intelligent systems. In this role, you will conduct original research in areas such as visual perception, 3D scene understanding, image and video recognition, and generative vision models. You will collaborate with a multidisciplinary team of researchers and engineers to translate research insights into scalable AI capabilities that power Meta's products and platforms, from augmented and virtual reality experiences to large-scale content understanding systems.
Research Scientist, Computer Vision (PhD) Responsibilities:
  • Design and conduct original research in computer vision, including 3D reconstruction, scene understanding, and generative image or video modeling
  • Develop and train deep learning models using large-scale image and video datasets, iterating on architectures to improve accuracy, efficiency, and generalization
  • Implement and evaluate novel computer vision algorithms, benchmarking against state-of-the-art methods on standard and internally curated datasets
  • Contribute to the design and curation of training datasets and annotation pipelines for vision tasks
  • Translate research findings into production-ready prototypes in collaboration with engineering teams
  • Write and publish research results at leading computer vision and machine learning venues
  • Participate in code reviews and contribute to shared research codebases, maintaining code quality and reproducibility
  • Collaborate with cross-functional partners in product, engineering, and data science to align research directions with applied goals
  • Instrument experiments with appropriate logging and evaluation metrics to support data-driven decision making
  • Identify opportunities to improve existing vision systems and propose incremental or novel research directions to the team

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has, or is in the process of obtaining, a PhD in computer vision, machine learning, computer science, or a related field
  • 2+ years of research experience in computer vision, including work on 3D reconstruction, SLAM, or related areas
  • Experience in developing and training deep learning models using frameworks such as PyTorch
  • Experience implementing and evaluating computer vision algorithms and conducting rigorous experimental comparisons
  • Experience communicating research findings through publications, technical reports, or presentations to peers
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience with large-scale vision-language models, self-supervised learning, or generative image and video modeling
  • Experience with 3D vision tasks including depth estimation, novel view synthesis, neural radiance fields, or multi-view reconstruction
  • Demonstrated software engineering experience through internships, open-source contributions, or research engineering roles
  • Proven track record of publications at leading computer vision or machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, or SIGGRAPH

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.
$122,000/year to $181,000/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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