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Senior Meta Machine Learning Jobs in California (NOW HIRING)

Krea

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer At Krea, we are building next-generation AI creative tools. We are ... Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

Handshake

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 ... Partner with senior engineers, data scientists, and product managers to develop and iterate on ...

Nace AI

Machine Learning Engineer

Palo Alto, CA

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

... senior engineers, contributing meaningfully from day one Qualifications : Required : • Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar ...

Autodesk

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

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Senior Meta Machine Learning information

Is L7 senior at Google?

L7 at Google is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often regarded as a senior or staff level role within Google's engineering hierarchy, requiring extensive experience and advanced skills in areas like machine learning or software development.

How much does L7 make at Meta?

An L7 Senior Meta Machine Learning engineer typically earns a base salary ranging from $250,000 to $350,000 annually, with additional compensation such as bonuses and stock options. Total compensation can exceed $400,000 depending on performance and stock grants. These figures are based on industry reports and may vary by location and experience.

What engineer makes $500,000 a year?

Senior Meta Machine Learning engineers can earn $500,000 or more annually, especially with bonuses and stock options in large tech companies. High compensation typically requires advanced skills in deep learning, extensive experience, and a strong track record of impactful projects.

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.

How much does a Meta senior machine learning engineer make?

A senior machine learning engineer at Meta typically earns between $150,000 and $200,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and the role requires strong skills in deep learning, data analysis, and programming in Python or C++.
What are the most commonly searched types of Meta Machine Learning jobs in California? The most popular types of Meta Machine Learning jobs in California are:
What are popular job titles related to Senior Meta Machine Learning jobs in California? For Senior Meta Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Meta Machine Learning jobs in California look for? The top searched job categories for Senior Meta Machine Learning jobs in California are:
What cities in California are hiring for Senior Meta Machine Learning jobs? Cities in California with the most Senior Meta Machine Learning job openings:
Senior Meta Machine Learning jobs near you
Design Verification Engineer - Machine Learning Accelerators

Design Verification Engineer - Machine Learning Accelerators

Meta

Sunnyvale, CA • On-site

$178K/yr

Full-time

Posted 6 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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