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Contract Meta Machine Learning Jobs in Pittsburgh, PA

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 ...

AI Engineer

Pittsburgh, PA · Remote

$70 - $76/hr

This is a Contract position, and the client is looking for someone to start immediately. Duration ... machine learning. Required Qualifications: - Bachelor's or Master's degree in Computer Science ...

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 ...

Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization ... contracts. Our flagship platform, Harvest, empowers procurement teams worldwide to access Green ...

Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization ... contracts. Our flagship platform, Harvest, empowers procurement teams worldwide to access Green ...

Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization ... contracts. Our flagship platform, Harvest, empowers procurement teams worldwide to access Green ...

Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization ... contracts. Our flagship platform, Harvest, empowers procurement teams worldwide to access Green ...

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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 Jul 28, 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 are the key skills and qualifications needed to thrive as a Contract Meta Machine Learning Engineer, and why are they important?

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 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 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 are Contract Meta Machine Learning professionals?

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 most commonly searched types of Meta Machine Learning jobs in Pittsburgh, PA? The most popular types of Meta Machine Learning jobs in Pittsburgh, PA are:
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 June 2026, with employment types broken down into 52% Full Time, 44% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $43,068 per year, or $20.7 per hour.
Research Scientist Intern, Photorealistic Telepresence (PhD)

Research Scientist Intern, Photorealistic Telepresence (PhD)

Meta

Pittsburgh, PA • On-site

Internship

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


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 245 rated software companies


Job description

Meta’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.Our org, XR Codec Interactions and Avatar, is looking for exceptional research interns to help us create a revolution in AR and VR: achieving true photorealistic telepresence, where you can be with anyone, anywhere, at any time. We have made numerous important advances, and it will take a diverse team with a wide spectrum of skills to accomplish this future. If you have expertise in Artificial Intelligence, Computer Vision, or Computer Graphics, we expect you will find the work here highly intriguing. We regularly publish our work at leading conferences and journals.Come join us as we make photorealistic telepresence and autonomous social agents in VR happen! Available projects may include, but are not limited to:Generative AI models for image and video synthesisMotion and behavior synthesis for digital humansVR/AR encoding of social signalsFace and body reconstruction and trackingMultimodal LLMs, such as speech-to-speech LLMs and audio-visual LLMsOur internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Photorealistic Telepresence (PhD) Responsibilities:
  • Solve research problems in enabling photorealistic telepresence and autonomous social agents.
  • Collaboration with and support of other researchers across various disciplines.
  • Communication of research agenda, progress, and results.

Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or related field
  • Experience with solving “inverse problems” in imaging emphasizing modeling and algorithm development
  • 2+ years of experience with Machine Learning for solving computer vision and computer graphics problems
  • Experience with deep learning frameworks such as Pytorch and TensorBoard
  • Experience with scientific programming languages such as Python
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by patents and first-authored publications at leading workshops or conferences such as ICCV, CVPR, NeurIPS, SIGGRAPH, ICASSP, or similar
  • Intent to return to a degree-program after the completion of the internship
  • Experience working and communicating cross functionally in a team environment
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with systems building in Python or C++
  • Experience with large-scale generative models such as LLMs and video diffusion models
  • Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)
  • Experience with Machine Learning for audio and visual synthesis

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.
$7,650/month to $12,134/month + 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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