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Senior Meta Machine Learning Jobs (NOW HIRING)

Meta

Machine Learning SoC Architect

Menlo Park, CA

$212K/yr

Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and ...

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

Bellevue, 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 ...

Meta

Software Engineer, Machine Learning

Sunnyvale, CA

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

As of Sep 11, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Machine Learning SoC Architect

Menlo Park, CA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$212K/yr

Full-time

Re-posted 6 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 Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural definition, performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's Data Centers. In this role, you will own ASIC architecture specification, establish the performance modeling methodology and long-term silicon roadmap strategy, partnering with other silicon, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.
Machine Learning SoC Architect Responsibilities:
  • Work on algorithm analysis, performance analysis and architecture definition of Machine Learning ASICs
  • Map Data Center workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency
  • evaluate performance v/s area v/s power tradeoffs
  • Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs
  • Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture
  • Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team
  • Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule
  • Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software development

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks, hardware/software partitioning etc
  • 12+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis
  • Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs
  • Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools
  • Experience with performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon
  • Experience defining architecture and microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams

Preferred Qualifications:
  • Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies
  • Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code
  • Master's or PhD degree in Electrical Engineering, Computer Engineering or related field
  • Domain knowledge in one or more of power/performance tradeoffs, ML networks, ML frameworks such as Pytorch
  • Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs

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.
$212,000/year to $294,000/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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