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Night Shift Meta Machine Learning Jobs in New York

Meta

Software Engineer, Systems ML

New York, NY

$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

Research Scientist - Reality Labs

New York, NY

$184K/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

Data Science Director (IC)

New York, NY · On-site

$253K/yr

... Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta's revenue. The ...

Meta

Software Engineer, Systems ML

New York, NY

$154K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In ...

Meta

Software Engineer, Systems ML

New York, NY

$189K - $224K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that.

Meta

AI Research Scientist, Physical AI

New York, NY · On-site

$184K/yr

Degree must be completed prior to joining Meta * Currently has or is in the process of obtaining a PhD degree in Artificial Intelligence, Physical AI, Computer Vision (3D), Machine Learning, relevant ...

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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.

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Cities in New York with the most Night Shift Meta Machine Learning job openings:

Night Shift Meta Machine Learning jobs near you
Infographic showing various Night Shift Meta Machine Learning job openings in New York 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, Recommendation Systems

Meta

New York, NY

$271K/yr

Full-time

Re-posted 15 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is seeking a distinguished engineer to help define the future of recommendation systems that serve billions of people across Facebook, Instagram, Reels, Marketplace, and other Meta surfaces. In this role, you will set the technical direction for large-scale ranking, retrieval, and personalization infrastructure, identifying opportunities to rethink foundational systems from the ground up using AI-native approaches. You will operate at the intersection of machine learning research and production engineering, driving step-change improvements in how Meta surfaces the most relevant content, connections, and experiences to every person on our platforms.
Software Engineer, Recommendation Systems Responsibilities:
  • Define and drive the multi-year technical vision for recommendation and ranking systems across Meta, influencing architecture decisions that span retrieval, candidate generation, feature engineering, and multi-objective ranking
  • Identify and solve the hardest scalability and quality challenges in large-scale recommendation pipelines, including those that cross multiple systems or fall at abstraction boundaries
  • Architect extensible, reliable ranking and personalization infrastructure that serves as a foundational platform for multiple product teams and engineering organizations
  • Develop and apply novel machine learning techniques to recommendation problems, translating research advances into production systems that deliver measurable improvements in user engagement and satisfaction
  • Define new metrics and experimentation frameworks for evaluating long-term recommendation quality, connecting them to organization-level priorities and business outcomes
  • Drive engineering excellence across recommendation system codebases by establishing invariants, quality standards, and AI-native development practices that prevent whole classes of reliability and correctness issues
  • Partner with research, product, data science, and infrastructure teams to align on technical strategy, navigate complex trade-offs, and deliver outcomes that advance Meta's competitive position in personalization
  • Mentor engineers across the organization on recommendation system design, debugging complex ranking and retrieval issues, and building systems that scale to billions of users
  • Lead cross-functional initiatives to modernize legacy recommendation infrastructure, including migration projects in complex and mature technical environments
  • Serve as a go-to technical authority for leadership on recommendation systems, producing strategic communications and conceptual frameworks that inform company-wide investment decisions

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience designing, building, and scaling production recommendation, ranking, or personalization systems
  • Experience defining technical strategy and architecture for large-scale machine learning systems, including retrieval, candidate generation, feature engineering, and multi-objective ranking
  • Experience leading cross-organizational engineering initiatives, including driving consensus across multiple teams and influencing technical direction at the organizational level
  • Experience developing and applying machine learning models at scale, from inception through production impact, including experimentation design and metric definition
  • Experience identifying and resolving systemic reliability, performance, or correctness issues across distributed machine learning and data infrastructure

Preferred Qualifications:
  • Experience rearchitecting or rebuilding recommendation or ranking systems using AI-native approaches that delivered order-of-magnitude improvements in quality or efficiency
  • Proficiency with deep learning frameworks such as PyTorch or TensorFlow applied to large-scale embedding models, two-tower architectures, or sequential recommendation models
  • Track record of industry-recognized contributions to recommendation systems, information retrieval, or personalization through publications, patents, or open-source work
  • Experience building real-time feature serving, approximate nearest neighbor retrieval, or low-latency inference infrastructure for recommendation at internet scale

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.
$271,000/year to $347,000/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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