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Senior Meta Machine Learning Jobs in California (NOW HIRING)

Meta

Software Engineer, Machine Learning

Sunnyvale, CA

$184K/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

Fremont, CA

$184K/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 ...

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 · 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 ...

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Senior Meta Machine Learning information

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.

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
Director, Business Operations, Meta Horizon

Director, Business Operations, Meta Horizon

Meta

Burlingame, CA

$223K/yr

Full-time

Posted 22 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

118th of 183 rated software companies

Job description

A strategic partner to a senior Meta leader and their organization, the Business Lead maximizes the leader's effectiveness and organizational capacity. This role is expected to drive operational excellence, streamline processes, and ensure preparedness for key decisions. The Lead also oversees critical strategic projects and manages broader org operations. This high-autonomy role requires strategic influence and people management at all levels of the organization.
Director, Business Operations, Meta Horizon Responsibilities:
  • Leadership Enablement: Streamline processes, simplify communication, oversee decision making, and drive projects aligned with top priorities. Translate vision into strategy.
  • Operational Excellence: Own operational artifacts, establish the rhythm of business, and run high-priority meetings end-to-end, up to Meta’s board of directors, and senior leadership.
  • Program & Partnership Leadership: Lead scaled programs (industry/partnerships), manage financial and people operations, reporting, and oversee compliance processes.
  • Review & Communication: Lead decision making , up to senior company leadership with flawless execution, develop content for Meta's most senior leaders, and set strategy for org-wide communications.
  • Community & People Management: Serve as a thought leader for Horizon’s leadership team, drive org-wide culture initiatives, and manage other roles within the Executive Business Operations job profile.
  • Biz Ops Manager Oversight: Oversee the Biz Ops Manager responsible for the planning cycle, enabling efficiency, influencing internal comms strategy, managing internal communications (All Hands, Q&A), leading special programs.

Minimum Qualifications:
  • 15+ years of experience working with senior leaders in fast-paced, complex environments, with a proven track record of operational excellence and strategic impact
  • Strong operational acumen, exceptional communication, organization, and program management skills
  • Experience leading cross-functional programs and managing direct reports
  • Ability to balance strategic and tactical priorities with a bias for flawless execution
  • Demonstrated ability to build strong internal communities

Preferred Qualifications:
  • 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.
$223,000/year to $287,000/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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