Updated Jan 20, 2026 using last 90 days postings.

Meta Hiring Trends – January 2026

Meta is scaling extensively in machine learning and AI engineering, particularly focusing on advancing personalization of AI and generative AI programs. They are also expanding infrastructure-related operations, including global data annotation workflows, infrastructure investments, and hardware accelerator design for data centers. Additionally, Meta is growing teams in product risk management, growth marketing across their core apps, and game development, all concentrated mainly in California and Texas with limited remote options.

Note: These dashboards are not the source of truth. Job posting data can include duplicates and may double count roles. Treat the results as a sample that helps explain what the postings suggest about hiring focus. Summaries are generated with an LLM and may contain errors or omissions. For the most accurate and complete information, research the company directly.

Tracked openings

1,609

Remote share

5%

Top location

CA, US

Top category

Machine Learning And Ai Engineering

Inside The Product

Summary

Meta is hiring across AI/ML product research and engineering, large-scale infrastructure and data center operations, and product/platform teams that support billions of users. Openings emphasize scaling GenAI and LLM personalization, building and operating data and compute infrastructure, and maturing cross‑product operational and risk processes.

What They Build

  • AI/ML and GenAI — LLM post‑training, personalization, RL environments, synthetic data curation
  • Data operations and annotation pipelines that power machine learning products
  • Infrastructure and data center engineering — ASICs, energy strategy, global supply chain and accounting
  • Platform and tooling for Global Operations to unify production workflows and developer tooling
  • Product growth and monetization systems embedded in product teams
  • Games platform and central technology to scale multiple game titles

Customers & Users

  • End users of Meta apps at global scale (Facebook, Instagram, WhatsApp, Oculus)
  • Internal product and engineering teams that consume models, tooling, and operational services
  • Businesses and advertisers that use Meta products
  • Regulators, auditors, and external assessors involved in risk and compliance reviews
  • Data center and infrastructure partners/stakeholders

Workflows & Systems

  • Cross‑functional program management to launch and scale GenAI programs and annotation operations
  • Large‑scale data curation and labeling pipelines feeding ML training and personalization efforts
  • Unified tooling and last‑mile engineering to remove bottlenecks across Global Operations
  • Hardware design and verification cycles for data‑center accelerators (ASIC development and validation)
  • End‑to‑end infrastructure accounting and operationalization of new accounting programs
  • Risk assessment and remediation workflows involving product, engineering, legal and external auditors
  • Policy engagement and advocacy workflows tied to site selection, energy, and regulatory interactions
  • Embedded product growth loops combining analysis, experimentation, and cross‑functional execution

Role Insights

Machine Learning & AI Engineering

Hiring to advance GenAI and LLM personalization via post‑training techniques, RL recipes, synthetic data curation, and large‑scale user profiling.

Data Operations & Annotation

Program managers and operators are scaling global annotation and workforce management to deliver training data and insights for core ML products.

Data Engineering & Global Operations

Backend and full‑stack engineers are building unified, interoperable tooling to mature production workflows and remove engineering bottlenecks across Global Operations.

Infrastructure & Hardware Engineering

ASIC and infrastructure hires focus on designing and verifying accelerators and operating efficient, high‑uptime data centers.

Risk, Compliance & Assurance

Product risk program managers are conducting assurance assessments, validating privacy/risk determinations, and driving remediation with product, legal and external assessors.

Finance & Infrastructure Accounting

Accounting roles are operationalizing end‑to‑end accounting processes to support rapid infrastructure expansion and supply chain investments.

Product Growth & Analytics

Growth analysts are embedded in product teams to run experimentation, analysis and ideation that directly tie to product metrics for global apps.

Policy & Energy Strategy

Policy hires work with regional teams and business stakeholders to shape energy and site selection policy that impacts data center operations.

Game Development Engineering

Tech leads are building scalable central game tech and platforms to support multiple new mobile game titles under Central Technology guidance.

Team Focus

  • Machine Learning And Ai Engineering: 96 roles (6.0%)
  • Manufacturing Engineering: 58 roles (3.6%)
  • Embedded Software Engineering: 55 roles (3.4%)
  • Data Engineering And Infrastructure: 53 roles (3.3%)
  • Engineering Management: 46 roles (2.9%)
  • Manufacturing And Production: 38 roles (2.4%)
  • Data And Analytics: 34 roles (2.1%)
  • Heavy Equipment Operations: 33 roles (2.1%)

Skill Stack

Machine Learning And Ai Engineering

Large Language Models Reinforcement Learning Synthetic Data Generation User Profiling Post-Training Techniques Media Data Curation Deep Learning Computer Vision

Manufacturing Engineering

Program Management Supply Chain Optimization Prototyping Logistics Coordination Production Engineering Manufacturing Quality Control Equipment Maintenance Test Engineering

Embedded Software Engineering

Embedded Firmware Simulation and Modeling C++ Python Hardware-in-the-Loop Testing Computer Vision Algorithms Machine Learning Integration Low-Level Systems

Data Engineering And Infrastructure

Data Architecture Data Governance Master Data Management Business Intelligence Data Quality Standards Capacity Planning Data Visualization Analytics

Engineering Management

Team Leadership Technical Strategy Project Management Recruitment Cross-Functional Collaboration Software Engineering Management Risk and Compliance Distributed Systems

Manufacturing And Production

Quality Inspection Material Handling Production Equipment Operation Preventative Maintenance Process Coordination Safety Compliance Manufacturing Processes Mechanical Troubleshooting

Location Footprint

  • CA, US: 456 roles (28.3%)
  • Canada: 189 roles (11.7%)
  • WA, US: 148 roles (9.2%)
  • India: 73 roles (4.5%)
  • NY, US: 65 roles (4.0%)
  • United Kingdom: 63 roles (3.9%)
  • Remote (US): 59 roles (3.7%)
  • OH, US: 51 roles (3.2%)

Seniority Mix

  • Mid: 1219 roles (75.8%)
  • Senior: 209 roles (13.0%)
  • Entry: 105 roles (6.5%)
  • Intern: 76 roles (4.7%)

Role Types

  • full_time: 1488 roles (92.5%)
  • internship: 100 roles (6.2%)
  • contract: 10 roles (0.6%)
  • other: 7 roles (0.4%)
  • part_time: 4 roles (0.2%)

Hiring Cadence