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
• Arcitect 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

Requirements

• 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
• 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
• Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

Qualifications

• Exposure to architectural patterns of large scale software applications
• 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)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Benefits

$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.