Full-Time

Software Engineer

Machine Learning

Updated on 1/22/2025

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$56.25 - $173kAnnually

+ Bonus + Equity

Mid

Company Historically Provides H1B Sponsorship

Seattle, WA, USA + 10 more

More locations: Burlingame, CA, USA | Washington, DC, USA | San Francisco, CA, USA | Los Angeles, CA, USA | Redmond, WA, USA | Pittsburgh, PA, USA | Menlo Park, CA, USA | New York, NY, USA | Bellevue, WA, USA | Sunnyvale, CA, USA

Job requires in-office presence in listed locations.

Category
Applied Machine Learning
AI & Machine Learning
Software Engineering
Required Skills
Python
JavaScript
Tensorflow
Pytorch
Machine Learning

You match the following Meta's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 2+ years of programming experience in a relevant programming language
  • 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
  • 2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
  • Proven experience to translate insights into business recommendations
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience building and shipping high quality work and achieving high reliability
  • 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
Responsibilities
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
  • Suggest, collect and synthesize requirements and create effective feature roadmap
  • Code deliverables in tandem with the engineering team
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Desired Qualifications
  • Exposure to architectural patterns of large scale software applications
  • PhD degree or research focused Master degree in ML areas

Meta Platforms Inc. focuses on social media, communication tools, and virtual reality. It operates popular platforms like Facebook, Instagram, and WhatsApp, allowing users to connect, share content, and engage in communities. The Oculus division provides virtual reality hardware and experiences. Meta's primary revenue comes from advertising, offering businesses tools to target specific audiences using insights from its large user base. This advertising service is scalable and allows for tailored audience segmentation. Additionally, Meta explores revenue through virtual reality product sales and the metaverse, where it looks to monetize virtual goods and services. The company also invests in artificial intelligence and augmented reality to enhance its offerings, aiming to combine user engagement with advanced marketing tools.

Company Stage

IPO

Total Funding

$2.2B

Headquarters

Menlo Park, California

Founded

2004

Growth & Insights
Headcount

6 month growth

8%

1 year growth

10%

2 year growth

3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Smart glasses collaboration opens new revenue streams in sports and fitness markets.
  • AI advancements improve data analytics and personalized advertising services.
  • Educational tech solutions expand Meta's product offerings and market reach.

What critics are saying

  • EU regulatory scrutiny may lead to fines or operational changes for Meta.
  • Smart glasses may face market acceptance challenges if consumer expectations aren't met.
  • Quest headset issues highlight risks in customer satisfaction and brand reputation.

What makes Meta unique

  • Meta's collaboration with Oakley enhances its wearable tech offerings in sports markets.
  • Investment in Databricks strengthens Meta's AI capabilities for personalized advertising.
  • Partnership with Georgian College diversifies Meta's reach into educational technology.

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Benefits

Stock Options

Company Equity

Mental Health Support

Flexible Work Hours