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Full Time Meta Machine Learning Jobs (NOW HIRING)

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Machine Learning Engineer I

San Francisco, CA · On-site

$151K - $189K/yr

Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and ... The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company ...

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

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

Research Engineer, MRS AI

Menlo Park, CA

$121K/yr

Degree must be completed prior to joining Meta * Research experience in machine learning, deep learning, and/or recommender systems, natural language processing * Programming experience in Python and ...

Meta

Research Engineer, MRS AI

Bellevue, WA

$121K/yr

Degree must be completed prior to joining Meta * Research experience in machine learning, deep learning, and/or recommender systems, natural language processing * Programming experience in Python and ...

Meta

Research Engineer, MRS AI

New York, NY

$121K/yr

Degree must be completed prior to joining Meta * Research experience in machine learning, deep learning, and/or recommender systems, natural language processing * Programming experience in Python and ...

Meta

Research Scientist Intern, AI Alignment

Seattle, WA

$7.6K - $12K/mo

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

Fundamental AI Researcher - FAIR

Seattle, WA

$154K/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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Full Time Meta Machine Learning information

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How much do full time meta machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for full time meta machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

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

AspectFull Time Meta Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech company, collaborative teams, focus on ML modelsVaried industries, research or business focus, data analysis
Industry UsagePrimarily in tech giants like Meta, Google, focus on AI/ML productsAcross industries including tech, finance, healthcare, often in analytics roles

Full Time Meta Machine Learning roles focus on developing and deploying machine learning models within Meta's ecosystem, requiring specialized ML skills. Data Scientists analyze data to generate insights, often using statistical methods. While both roles involve data and algorithms, Meta Machine Learning positions are more specialized in AI/ML model development, whereas Data Scientists focus on data analysis and interpretation across various industries.

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What cities are hiring for Full Time Meta Machine Learning jobs? Cities with the most Full Time Meta Machine Learning job openings:
What are the most commonly searched types of Meta Machine Learning jobs? The most popular types of Meta Machine Learning jobs are:
What job categories do people searching Full Time Meta Machine Learning jobs look for? The top searched job categories for Full Time Meta Machine Learning jobs are:
Full Time Meta Machine Learning jobs near you
Infographic showing various Full Time Meta Machine Learning job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Design Verification Engineer - Machine Learning Accelerators

Design Verification Engineer - Machine Learning Accelerators

Meta

Sunnyvale, CA

$178K/yr

Full-time

Posted 12 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Reality Labs focuses on delivering Meta's vision through Augmented Reality (AR) and Smart Devices. Compute power requirements of these devices require custom silicon. Meta’s Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR devices where our real and virtual world will mix and match throughout the day, and smart devices that provide assistance and enhanced capabilities in our day-to-day activities. We believe the only way to achieve our goals is to look at the entire stack, through algorithms to architecture, transistors to firmware. As a Design Verification Engineer at Meta’s Reality Labs, you will work with a multidisciplinary group of researchers and engineers, and use your digital design and verifications skills to implement the testing infrastructure to validate new core IP implementations and contribute to development and optimization of state of the art machine learning algorithms. You will work closely with researchers, architects and designers in creating test bench requirements and test cases for multiple state of the art machine learning IPs.
Design Verification Engineer - Machine Learning Accelerators Responsibilities:
  • Work with cross-functional leads, including product managers, systems architects, researchers, and software architects, to develop industry leading Machine Learning IP’s optimized for Mixed Reality and Smart Devices and use-cases, defining verification methodologies for each of the different core IPs
  • Define, track, and lead the execution of detailed test plans for the different modules and top levels
  • Implement scalable test benches including checkers, reference models, assertions in System Verilog
  • Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage
  • Collaborate with cross-functional teams such as Design, Model, Emulation and Silicon validation teams towards ensuring design quality targets are met across pre- and post-Silicon product lifecycle
  • Support hand-off and integration of developed subsystems/IP blocks into larger SOC environments
  • Develop and drive continuous Design Verification improvements using the latest verification methodologies, tools and technologies from the industry

Minimum Qualifications:
  • 10+ years of hands-on experience in SystemVerilog/UVM methodology and C/C++ based verification
  • 10+ years of experience in IP/sub-system and/or SoC level verification based on SystemVerilog UVM/OVM based methodologies
  • Experience in one or more of the following areas along with functional verification - SV Assertions, Formal, Emulation
  • Experience in EDA tools and scripting (Python, TCL, Perl, Shell) used to build tools and flows for verification environments
  • Track record of 'first-pass success' in ASIC development cycles
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • Masters in Electrical Engineering or Computer Science
  • 5+ years of experience with Design verification/validation of machine learning applications and accelerators
  • 5+ years of experience with Software/Hardware Co-design at firmware, ISA, and application level
  • 5+ years of experience with low power design
  • 5+ years of experience in verification of numerical compute based designs
  • Experience with revision control systems like Mercurial(Hg), Git
  • FPGA/emulation debug experience

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.
$178,000/year to $250,000/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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