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Senior Meta Machine Learning Jobs (NOW HIRING)

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Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Quantum Machines

Machine Learning Engineer

Description Quantum Machines (QM) is a global leader in quantum computing control systems. Through ... Experience with sim-to-real, multi-objective RL, or meta-learning- advantage

Meta

Software Engineer, Machine Learning

Sunnyvale, CA · On-site +1

$183K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta

Software Engineer, Machine Learning

San Francisco, CA · On-site +1

$183K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta

Software Engineer, Machine Learning

Seattle, WA

$183K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

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All JobsTechnology JobsData JobsData Scientist JobsSenior Meta Machine Learning Jobs

Senior Meta Machine Learning information

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$25K

$80.3K

$163.5K

How much do senior meta machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior meta machine learning in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

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Senior Meta Machine Learning jobs near you
Infographic showing various Senior Meta Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Machine Learning Digital Design Engineer

Meta

Sunnyvale, CA

$178K/yr

Full-time

Re-posted 7 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking highly skilled Design Engineers to join our team. In this role, you will contribute to the development of advanced technology solutions, including machine learning and network acceleration. You will collaborate with researchers and engineers to design, implement, and optimize low-power hardware accelerators, state-of-the-art SoCs, and custom silicon solutions that enable the next generation of innovative devices and hardware.
Machine Learning Digital Design Engineer Responsibilities:
  • Contribute to ASIC digital µArchitecture and design
  • Assist performance/power analysis of the design and help meet power and performance targets
  • Work with architects to map algorithms onto the hardware and specify requirements for IP and subsystems integration
  • Collaborate with adjacent teams such as Verification, Physical Design, and Design-for-Test
  • Develop micro-architecture, RTL coding, and design verification for complex IPs
  • Drive IP/sub-system micro-architecture and RTL design in collaboration with DV and PD leads

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience as a Hardware Design Engineer for production silicon shipped in volume
  • Experience in digital design µArchitecture, RTL coding, and micro-architecture development
  • Experience communicating technical design decisions and trade-offs to cross-functional partners such as verification, physical design, and architecture teams

Preferred Qualifications:
  • Experience in ML accelerator subsystems and top level design
  • Experience in SoC integration and ASIC architecture
  • Knowledge of microcontrollers, DSP, CDC and power sequence
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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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