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Open nowFirst seen 8 hours ago

Software Engineer, Machine Learning

Meta1,029 open roles

Where
Sunnyvale, CA; Bellevue, WA; Redmond, WA; Menlo Park, CA; Seattle, WA; Burlingame, CA; New York, NY
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Your applicationOpen nowSoftware Engineer, Machine LearningMeta · Sunnyvale, CA; Bellevue, WA; Redmond, WA; Menlo Park, CA; Seattle, WA; Burlingame, CA; New York, NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Meta's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: first seen 8 hours ago

Meta median: 35 days open

The posting

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect 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. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.

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

  • Experience building maintainable and testable code bases, including API design and unit testing techniques
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Preferred Qualifications

  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  • Experience with developing machine learning models at scale from inception to business impact
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
  • Proven experience to translate insights into business recommendations
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • 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

US: $121,992/year to $181,000/year + bonus + equity

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