×
Register Here to Apply for Jobs or Post Jobs. X

Software Engineer Leadership, Machine Learning RecSys

Job in Redmond, King County, Washington, 98052, USA
Listing for: Meta
Full Time position
Listed on 2026-09-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 219000 - 301000 USD Yearly USD 219000.00 301000.00 YEAR
Job Description & How to Apply Below

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 passionate individuals who can help us advance the way people connect globally.

Required Skills:

Software Engineer Leadership, Machine Learning Rec Sys 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 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, Java script 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:

    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

  • Public Compensation:

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

    Industry:

    Internet

    Equal Opportunity:

    Meta is proud to be an Equal Employment Opportunity and Aff…

    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

    #J-18808-Ljbffr
    To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
    (If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
     
     
     
    Search for further Jobs Here:
    (Try combinations for better Results! Or enter less keywords for broader Results)
    Location
    Increase/decrease your Search Radius (miles)
    0
    200
    Filters
    Education Level
    Experience Level (years)
    Posted in last:
    Salary