ML Recommender Systems Engineer

Meta

Little Rock (AR)

On-site

USD 184,000 - 257,000

Full time

37 hours ago
Be an early applicant
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products with the mission of connecting billions of people worldwide. As a member of our team, you will tackle complex technical problems, ship new features, and improve existing products across platforms including mobile and web.

You will collaborate with cross-functional teams, design scalable systems, and lead parts of major initiatives while advancing the state of the art in recommendations and AI.

Qualifications

  • 3+ years of experience in software engineering or a relevant field (2+ if you have a PhD).
  • 2+ years of experience in ML, recommendation systems, AI, or related technical field.
  • Experience with scripting languages such as 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 scripting languages such as Python, Perl, PHP, and/or shell scripts.
  • Track record of setting technical direction for a team, driving consensus and cross-functional partnerships.
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid).
  • Experience building and shipping high quality work and reliability.
  • Experience improving quality through thoughtful code reviews, testing, rollout, monitoring.
  • Bachelor's degree in CS/CE or equivalent practical experience.

Responsibilities

  • Collaborate with cross-functional teams to build innovative application experiences.
  • Implement custom user interfaces using latest programming techniques and technologies.
  • 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 on a variety of coding languages and technologies.
  • Establish ownership of components, features, or systems with end-to-end understanding.

Skills

Python
Java
C/C++
Javascript
Shell scripting
Machine Learning
Recommendation systems
Team leadership

Education

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

Tools

PyTorch
TensorFlow
Big data tooling

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products with the mission of connecting billions of people worldwide. As a member of our team, you will tackle complex technical problems, ship new features, and improve existing products across platforms including mobile and web.

You will collaborate with cross-functional teams, design scalable systems, and lead parts of major initiatives while advancing the state of the art in recommendations and AI.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

ML Recommender Systems Engineer
ML Recommender Systems Engineer

Meta • Helena (MT)

On-site
USD 184,000 - 257,000
ML Recommender Systems Engineer | Equity & Benefits
ML Recommender Systems Engineer | Equity & Benefits

Meta • Juneau (AK)

On-site
USD 184,000 - 257,000
ML Engineer, Recommender Systems (Scalable)
ML Engineer, Recommender Systems (Scalable)

Meta • Montpelier (VT)

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 at Scale
ML Engineer, Recommender Systems at Scale

Meta • Lincoln (NE)

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

Meta • Cheyenne (WY)

On-site
USD 184,000 - 257,000
ML Engineer, Recommender Systems – Scalable AI & Equity
ML Engineer, Recommender Systems – Scalable AI & Equity

Meta • Boise (ID)

On-site
USD 184,000 - 257,000
ML Engineer - Recommender Systems (RecSys)
ML Engineer - Recommender Systems (RecSys)

Meta • City of Albany (NY)

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 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