Lead ML Engineer - Recommender Systems & Scalable AI

Meta; San Francisco (CA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta seeks talented Machine Learning engineers to join our teams building cutting-edge products and connecting billions of people worldwide. You will tackle complex technical problems, build new features, and improve existing products across mobile and web platforms, while leading high-impact initiatives and guiding peers.

Ideal candidates have a strong background in machine learning, recommendation systems, and engineering leadership, with hands-on experience deploying models at scale and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 4+ years of experience in software engineering, or a relevant field. 3+ years if you have a PhD
• 3+ years of experience in machine learning, recommendation systems, AI, or related field
• Experience with developing machine learning models at scale from inception to business impact
• Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
• Experience with scripting languages such as Python, Javascript or Hack
• Experience leading major initiatives successfully, proven ability to set technical direction and influence product strategy
• Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
• Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or production environments
• Experience building and shipping high quality work and achieving high reliability
• Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
• Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

Responsibilities

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Develop reusable software components for interfacing with back-end platforms
• Analyze and optimize code for quality, efficiency, and performance
• Lead complex technical or product efforts and provide technical guidance to peers
• Architect efficient and scalable systems that drive 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 expert end-to-end understanding

Skills

Software engineering

Machine learning

Recommendation systems

LLMs

Python

C/C++

Java

Scripting

Education

Bachelor's degree in CS/Engineering

Tools

Pytorch

TensorFlow

HuggingFace

SQL

Linux

Job description

Meta seeks talented Machine Learning engineers to join our teams building cutting-edge products and connecting billions of people worldwide. You will tackle complex technical problems, build new features, and improve existing products across mobile and web platforms, while leading high-impact initiatives and guiding peers.

Ideal candidates have a strong background in machine learning, recommendation systems, and engineering leadership, with hands-on experience deploying models at scale and