ML Engineer, Recommender Systems — Scalable Impact

Meta

Annapolis (MD)

On-site

USD 184,000 - 257,000

Full time

44 hours ago
Be an early applicant
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

Meta is seeking talented Machine Learning engineers in Annapolis, MD to join teams building cutting-edge products that connect billions of people globally. You will tackle complex technical problems, ship features, and improve experiences across mobile and web platforms.

Ideal candidates have 3+ years in software engineering with ML or recommender systems, experience in Python/JavaScript, and a track record of impactful deployments.

Qualifications

  • 3+ years of software engineering experience (2+ years if you have a PhD).
  • 2+ years in machine learning, recommendation systems, AI, or related field.
  • Experience with Python, JavaScript, or Hack.
  • Experience with developing ML models at scale from inception to business impact.
  • Knowledge developing and debugging in C/C++ and Java, or Python/Perl/PHP/shell scripting.
  • Track record of setting technical direction and cross-functional partnerships.
  • Proven experience designing/deploying recommendation systems at scale.
  • Experience delivering high quality, reliable work and strong code reviews.

Responsibilities

  • Collaborate with cross-functional teams to build innovative application experiences.
  • Implement custom user interfaces using modern programming techniques.
  • Develop reusable software components interfacing with back-end platforms.
  • Analyze and optimize code for quality, efficiency, and performance.
  • Lead complex technical or product efforts and provide guidance to peers.
  • Architect efficient and scalable systems for complex applications.
  • Identify and resolve performance and scalability issues.
  • Work with multiple languages and technologies.
  • Own components, features, or systems with end-to-end understanding.

Skills

Software engineering
Machine learning
Cross-functional collaboration
Python
Java
C/C++
JavaScript
Performance optimization
System architecture
Recommendation systems

Education

Bachelor's degree in Computer Science or related field
Master's degree or PhD in ML-related field

Tools

PyTorch
TensorFlow
LLMs

Job description

Meta is seeking talented Machine Learning engineers in Annapolis, MD to join teams building cutting-edge products that connect billions of people globally. You will tackle complex technical problems, ship features, and improve experiences across mobile and web platforms.

Ideal candidates have 3+ years in software engineering with ML or recommender systems, experience in Python/JavaScript, and a track record of impactful deployments.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

ML Engineering Lead: Recommender Systems & Scalability
ML Engineering Lead: Recommender Systems & Scalability

Meta • San Francisco (CA)

On-site
USD 219,000 - 301,000
ML Recommender Systems Engineer – Scalable Impact, Equity
ML Recommender Systems Engineer – Scalable Impact, Equity

Meta • Trenton (NJ)

On-site
USD 184,000 - 257,000
Lead ML Engineer - Recommender Systems
Lead ML Engineer - Recommender Systems

Vamp • California (MO)

On-site
USD 138,000 - 184,000
ML Engineer, Recommender Systems — Scale & Impact
ML Engineer, Recommender Systems — Scale & Impact

Meta • Hartford (CT)

On-site
USD 184,000 - 257,000
ML Recommender Systems Engineer — Scale & Impact
ML Recommender Systems Engineer — Scale & Impact

Meta • Washington

On-site
USD 184,000 - 257,000
Bonus
Equity
Benefits
Machine Learning Engineer — Recommender Systems at Scale
Machine Learning Engineer — Recommender Systems at Scale

Meta • Richmond (VA)

On-site
USD 184,000 - 257,000
ML Engineer, Recommendation Systems for Global Impact
ML Engineer, Recommendation Systems for Global Impact

Meta • San Francisco (CA)

On-site
USD 154,000 - 217,000
Bonus
Equity
Benefits
Machine Learning Engineer, Recommender Systems
Machine Learning Engineer, Recommender Systems

Meta • Charleston (WV)

On-site
USD 184,000 - 257,000
Lead ML Engineer, Recommender Systems
Lead ML Engineer, Recommender Systems

Meta • Sunnyvale (CA)

On-site
USD 219,000 - 301,000
ML RecSys Engineer — Scalable Personalization & Impact
ML RecSys Engineer — Scalable Personalization & Impact

Meta • Sacramento (CA)

On-site
USD 184,000 - 257,000