Full-Time

Software Engineer

Machine Learning

Confirmed live in the last 24 hours

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$85.1 - $251kHourly

+ Bonus + Equity + Benefits

Expert

Company Historically Provides H1B Sponsorship

Seattle, WA, USA + 9 more

More locations: Burlingame, CA, USA | San Francisco, CA, USA | Los Angeles, CA, USA | Remote in USA | Redmond, WA, USA | Menlo Park, CA, USA | New York, NY, USA | Bellevue, WA, USA | Sunnyvale, CA, USA

Preference for candidates living in or expecting to work from California.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Software Engineering
Required Skills
PHP
Python
JavaScript
Machine Learning
Java
Perl
C/C++
Data Analysis

You match the following Meta's candidate preferences

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

Degree
Experience
Requirements
  • 8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
  • 6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience leading major initiatives successfully
  • Experience building and shipping high quality work and achieving high reliability
  • 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 demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
  • Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Responsibilities
  • Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
  • Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
  • Leading a team from a technical perspective to develop ML best practices and influence engineering culture
  • Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
  • 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
Desired Qualifications
  • Masters degree or PhD in Computer Science or a related technical field
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as Pytorch and TF

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

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Meta's new Quest headset could attract high-end consumers and enterprise clients.
  • Meta's partnership with Oakley positions it in the growing wearable tech market.
  • Meta's potential AR headset release by 2027 shows long-term vision in AR technology.

What critics are saying

  • Meta's ad-free service in the EU faces potential legal challenges and penalties.
  • DeepSeek AI's rise indicates increased competition in the AI market.
  • Meta's smart glasses may struggle in a saturated market with similar products.

What makes Meta unique

  • Meta's collaboration with Oakley targets the niche market of athletic smart glasses.
  • Meta's investment in Databricks enhances its AI capabilities with open-source models.
  • Meta's 'Edits' app leverages its vast user base for video editing market entry.

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Benefits

Stock Options

Company Equity

Mental Health Support

Flexible Work Hours