Software Engineer, Machine Learning RecSys

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 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 engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply.

Required Skills:

Software Engineer, Machine Learning RecSys 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

Minimum Qualifications:

Minimum Qualifications:

3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD

2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field

Experience with scripting languages such as Python, Javascript or Hack

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

Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships

Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)

Experience building and shipping high quality work and achieving high reliability

Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:

Preferred Qualifications:

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience with scripting languages such as Pytorch and TensorFlow

Exposure to architectural patterns of large scale software applications

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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

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

Public Compensation:

$183,997/year to $257,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].