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Temporary Meta Machine Learning Jobs in Seattle, WA

Meta

Linguistic Engineer

Redmond, WA

$138K/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 ...

Meta

Product Designer, Human Interface

Seattle, WA

$139K/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 ...

Meta

AI Research Scientist

Redmond, WA · On-site

$154K - $217K/yr

Meta is seeking a Research Scientist to advance the field of multi-modal understanding. This role ... Machine Learning, Artificial Intelligence, or a related field • Experience with multi-modal ...

Meta

Research Engineer Robotics (Systems)

Redmond, WA

$183K/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 ...

Aquent

AI Engineer - Machine Learning 3

Redmond, WA · On-site +1

$80 - $90/hr

Temporary Salary: $80-90 Hourly up to $90.00/hr Start Date: Jul 1, 2026 A leading technology ... Your contributions will drive the development of novel machine learning solutions, rapidly ...

Meta

Product Design Engineer

Redmond, WA

$118K/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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Temporary Meta Machine Learning information

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

As of Jul 6, 2026, the average hourly pay for temporary meta machine learning in Seattle, WA is $25.97, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $28.99 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

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

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

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

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
What are the most commonly searched types of Meta Machine Learning jobs in Seattle, WA? The most popular types of Meta Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Seattle, WA? For Temporary Meta Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Seattle, WA look for? The top searched job categories for Temporary Meta Machine Learning jobs in Seattle, WA are:
Temporary Meta Machine Learning jobs near you
Infographic showing various Temporary Meta Machine Learning job openings in Seattle, WA as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $54,020 per year, or $26 per hour.
AI Research Scientist - FAIR Social Intelligence

AI Research Scientist - FAIR Social Intelligence

Meta

Bellevue, WA

$154K/yr

Full-time

Posted 21 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies

Job description

We are seeking a Research Scientist to contribute to our initiatives in Social Intelligence within complex multi-agent ecosystems. You will bridge the gap between centrally orchestrated multi-agent systems and social reasoning paradigms within cognitive science. You will drive research focused on enabling autonomous agents to navigate the "coordination bottleneck" through the development of Theory of Mind (ToM), intent modeling, and emergent social behaviors such as cooperation, coordination, negotiation, persuasion, etc. By synthesizing principles from reinforcement learning, game theory and behavioral science, you will be apart of an experienced team in to make agents capable of sophisticated alignment, ensuring that agents can operate seamlessly—and ethically—within the intricate social fabric of human-centric environments.
AI Research Scientist - FAIR Social Intelligence Responsibilities:
  • Perform research to advance the state of the art in our multi-agent ecosystem
  • Work with researchers and engineers in a highly collaborative environment to achieve goals and milestones
  • Influence the future of research in frontier modeling with detailed technical reports
  • Work towards long-term goals, while identifying intermediate milestones
  • Influence progress of relevant research communities by producing publications

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, data science, science/engineering, or related technical fields
  • First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
  • 1+ years experience holding an industry, postdoctoral, faculty, or government researcher position
  • Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics
  • Experience in developing and debugging in Python or similar programming languages

Preferred Qualifications:
  • Research and engineering experience demonstrated via publications, grants, fellowships, patents, open source code
  • Experience collaborating in a team environment on research projects
  • Experience in applying AI systems to solve science and engineering problems

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.
$154,000/year to $217,000/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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