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Night Shift Meta Machine Learning Jobs in California

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

They are seeking a Machine Learning Engineer to translate research into scalable solutions ... implement meta-learning methods to enhance model generalization and efficiency. • Improve ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production--you'll take ML ...

Meta

Research Engineer, Computer Vision

Sunnyvale, CA

$183K/yr

Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences * Assist in goal setting related to project impact, AI ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/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 ...

Meta

AI Research Manager

Menlo Park, CA · On-site +1

$219K/yr

In this role, you will drive the strategy, execution, and culture of AI research teams working on large-scale machine learning systems, foundation models, and applied AI innovations that power Meta ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/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 ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production-you'll take ML ...

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Night Shift Meta Machine Learning information

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

AspectNight Shift Meta Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with machine learning toolsBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentNight shift, often in tech or AI companies, focusing on model deployment and monitoringDay shift, in various industries, focusing on data analysis, modeling, and reporting
Employer & Industry UsageTech firms, AI startups, companies with 24/7 operationsFinance, healthcare, tech, and research organizations

While both roles involve working with data and machine learning, Night Shift Meta Machine Learning specialists focus on deploying and maintaining models during night hours, often in tech environments. Data Scientists typically work during regular hours, analyzing data, building models, and providing insights across various industries.

What are popular job titles related to Night Shift Meta Machine Learning jobs in California? For Night Shift Meta Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Night Shift Meta Machine Learning jobs in California look for? The top searched job categories for Night Shift Meta Machine Learning jobs in California are:
Night Shift Meta Machine Learning jobs near you
Infographic showing various Night Shift Meta Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, 5% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Software Engineer (Technical Leadership) - Machine Learning

Meta

San Francisco, CA

$219K/yr

Full-time

Re-posted 21 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer (Technical Leadership) - Machine Learning Responsibilities:
  • Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
  • Effectively communicate complex features and systems in detail
  • Understand industry & company-wide trends to help assess & develop new technologies
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
  • Lead long term technical vision and roadmap for large cross-company efforts
  • Suggest, collect and synthesize requirements and create an effective feature roadmap
  • Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
  • Experience driving large cross-functional/industry-wide engineering efforts
  • Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
  • Experience communicating and working across functions to drive solutions
  • Experience mentoring/influencing executive stakeholders across organizations
  • 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD

Preferred Qualifications:
  • Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
  • Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Understanding of information retrieval concepts, such as indexing, querying, and ranking
  • Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
  • 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.
$219,000/year to $301,000/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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