company_site
Engineering Manager, Machine Learning
Meta
Bellevue, USA
Full-time
Senior · 8+ years experience
Onsite
USD 219000-301000 yearly / year
Discovered 2 weeks ago
PyTorchTensorFlowRecSysKDDNeurIPSICML
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
PyTorchTensorFlowRecSys
Key Skills for This Role
PyTorchTensorFlowRecSysKDDNeurIPSICML
Full Job Posting
Responsibilities
- Manage multiple teams of ML engineers and technical leaders delivering large-scale recommendation and ranking systems across model development, training, evaluation, and production serving
- Drive the technical strategy and roadmap for MRS initiatives, influencing decisions around SOTA model architectures, recommendation algorithms, and deployment approaches
- Actively engage with technical direction and code quality across teams, staying current with state-of-the-art research in recommendation systems and applying cutting-edge techniques
- Partner with product, data science, and research to define recommendation system problem formulations, prioritize ranking experiments, and translate model improvements into measurable product outcomes
- Recruit, develop, and retain ML engineers and engineering leaders with deep expertise in recommendation systems and ranking models
- Champion adoption of SOTA techniques in recommendation systems, including deep learning approaches, transformer-based models, and multi-objective optimization
- Proactively identify and resolve execution risks across recommendation system projects, including data quality issues, model performance regressions, training instability, and infrastructure bottlenecks
- Establish a team culture that values code quality, rigorous experimentation practices, and continuous learning from recommendation systems research
- Hold leaders accountable for performance, technical depth in ranking and personalization, and cross-functional engagement
- Represent the team's work and priorities to leadership, communicating recommendation system tradeoffs, SOTA advances, and strategic implications clearly
Minimum Qualifications
- 8+ years of experience in software engineering with a focus on machine learning systems, including model development, training pipelines, or ML infrastructure
- 4+ years of experience managing engineering teams, including experience managing other engineering leaders
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Meta
AI Research Scientist, Robotics - Meta Superintelligence Labs
Menlo Park, USA
MidFull-time
Discovered TodayView →
Client Solutions Manager - EMEA Gaming
London, GBR
Discovered TodayFull-time
AI Research Scientist, Robotics - Meta Superintelligence Labs
Menlo Park, USA
Discovered TodayFull-time
Finance Manager, Infrastructure
Menlo Park, USA
Discovered TodayFull-time
Associate General Counsel, Security Legal
Atlanta, USA
Discovered TodayFull-time
Application Engineer - Salesforce
Bengaluru, IND
Discovered TodayFull-time
Executive Support Engineer
Sydney, AUS
Discovered TodayFull-time
Security Program Manager, Exam and Audit
London, GBR
Discovered TodayFull-time
Data Center Technician
Papillion, USA
Discovered TodayFull-time