Software Engineer Leadership, Machine Learning RecSys

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

• Masters degree or PhD in Computer Science or a related technical field

• 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.

• United States of America: $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.

• Equal Employment Opportunity

• Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

• Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.