Full-Time
Software Engineer
Machine Learning
Confirmed live in the last 24 hours
Meta
10,001+ employees
Social media platforms and virtual reality solutions
Compensation Overview
$56.25 - $173kAnnually
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.
You match the following Meta's candidate preferences
Employers are more likely to interview you if you match these preferences:
- 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
- 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)
- 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
6 month growth
↑ 8%1 year growth
↑ 10%2 year growth
↑ 4%
Simplify's Take
What believers are saying
- Meta's collaboration with Oakley expands its reach into the wearable tech market.
- Development of a new high-end Quest headset enhances Meta's VR market position.
- Investment in Databricks supports Meta's AI capabilities with the Llama model.
What critics are saying
- EU scrutiny of Meta's ad-free service could lead to legal challenges.
- Rise of AI competitors like DeepSeek threatens Meta's AI market position.
- Consumer adoption challenges may affect Meta's new high-end Quest headset.
What makes Meta unique
- Meta's platforms like Facebook, Instagram, and WhatsApp dominate global social media engagement.
- Meta's Oculus division leads in virtual reality hardware and experiences.
- Meta's data-driven advertising tools offer unmatched audience targeting capabilities.
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Benefits
Stock Options
Company Equity
Mental Health Support
Flexible Work Hours