Software Engineer Leadership, Machine Learning RecSys

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we’re looking for passionate individuals who can help us advance the way people connect globally. If you’re interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.

1. Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. 4+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhD
3. 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or related technical field
4. Experience with developing machine learning models at scale from inception to business impact
5. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
6. Experience with scripting languages such as Python, Javascript or Hack
7. Experience leading major initiatives successfully, Proven ability to set technical direction and influence product strategy
8. Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
9. Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
10. Experience building and shipping high quality work and achieving high reliability
11. Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
12. Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

Preferred Qualifications:

Preferred Qualifications:

1. Masters degree or PhD in Computer Science or a related technical field
2. Exposure to architectural patterns of large scale software applications
3. Experience with scripting languages such as Pytorch and TF
4. Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
7. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies