ML Engineer: Recommender Systems & Scalable AI

Meta; Burlingame (CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks talented Machine Learning engineers to join teams building cutting-edge products connecting billions worldwide. You will tackle complex technical problems, create new features, and improve products across mobile and web platforms, while pushing user experience boundaries.

Responsibilities include collaborating across product, design, and infra, designing scalable systems, and leading technical efforts with end-to-end ownership.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience
• 2+ years of programming in a relevant language
• 1+ years in ML, RecSys, LLMs or AI
• Experience with Python, JavaScript or Hack
• Experience with ML models at scale from inception to business impact
• Knowledge of C/C++ and Java, or scripting with Python, Perl, PHP or shell
• Track record of setting technical direction and cross-functional partnerships
• Experience designing, building or deploying recommendation systems
• Experience delivering reliable high-quality work
• Experience improving quality via code reviews, testing, rollout, monitoring

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.
• Own components, features, or systems with end-to-end understanding.

Skills

Python

JavaScript

Hack

C/C++

Java

Machine Learning

Recommendation Systems

LLMs

Scripting

Performance optimization

Code reviews

Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Masters degree in CS/ML (preferred)

PhD in CS/ML (preferred)

Tools

Python tooling

TensorFlow or PyTorch

Big data tooling

Job description

Meta seeks talented Machine Learning engineers to join teams building cutting-edge products connecting billions worldwide. You will tackle complex technical problems, create new features, and improve products across mobile and web platforms, while pushing user experience boundaries.

Responsibilities include collaborating across product, design, and infra, designing scalable systems, and leading technical efforts with end-to-end ownership.