Software Engineer Leadership, Machine Learning RecSys

Meta; New York (NY); On-site; USD 219,000 - 301,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products. You will work on complex technical problems, build new features, and improve experiences across platforms including mobile and web.

This role emphasizes collaboration, scalability, and leadership in ML-driven recommendations. Responsibilities include designing interfaces, developing reusable components, and leading major initiatives while applying deep learning with LLMs.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Engineering.
• 4+ years of software engineering experience; PhD reduces experience requirement.
• Experience with ML, recommendation systems, or AI.
• Experience with ML models at scale and cloud tooling.

Responsibilities

• Collaborate with cross-functional teams to build innovative experiences.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency and performance.
• Lead complex technical efforts and provide guidance to peers.
• Architect efficient, scalable systems for large applications.

Skills

Machine learning

Recommendation systems

Large language models

Software architecture

Leadership

Education

Bachelor's degree or equivalent

Tools

C/C++

Java

Python

Pytorch

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 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.

Software Engineer Leadership, 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

• 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 of experience if you have a PhD
• 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or related technical 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 application in 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

Preferred Qualifications

• Exposure to architectural patterns of large scale software applications
• Experience with scripting languages such as Pytorch and TF
• 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 adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today - beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affiantive 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 [e-mail].

$219,000/year to $301,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.