Full-Time

Software Engineer

Technical Leadership, 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

$213k - $293kAnnually

+ Bonus + Equity + Benefits

Expert

Company Historically Provides H1B Sponsorship

Washington, DC, USA + 4 more

More locations: Remote in USA | Menlo Park, CA, USA | New York, NY, USA | Bellevue, WA, USA

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Software Engineering
Required Skills
Python
R
Machine Learning
Java
Natural Language Processing (NLP)
C/C++

You match the following Meta's candidate preferences

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

Degree
Experience
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 12+ years of experience in programming languages (Python, C++, Java or R) with technical background.
  • 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence.
  • Experience leading projects with industry-wide impact.
  • Experience communicating and working across functions to drive solutions.
  • Experience in mentoring/influencing senior engineers across organizations.
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
  • Experience in driving large cross-functional/industry-wide engineering efforts.
Responsibilities
  • Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
  • Effectively communicate complex features & systems in detail.
  • Understand industry & company-wide trends to help assess & develop new technologies.
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
  • Suggest, collect and synthesize requirements and create an effective feature roadmap.
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Desired Qualifications
  • Experience in shipping products to millions of customers or have started a new line of product.
  • Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark.

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

  • Increased user engagement from TikTok's potential ban boosts Meta's advertising revenue.
  • Meta's renewable energy acquisition enhances its brand image among eco-conscious consumers.
  • Meta's AI-powered search engine development diversifies its digital advertising offerings.

What critics are saying

  • Turning off AI for detecting fakes may increase misinformation on Meta's platforms.
  • Layoffs of 3,600 workers could impact Meta's innovation and competitive edge.
  • Increased scrutiny on data practices due to TikTok's potential ban affects Meta.

What makes Meta unique

  • Meta's SEAMLESSM4T AI model offers real-time translation in 101 languages.
  • Meta's platforms like Instagram and Facebook benefit from TikTok's potential U.S. ban.
  • Meta's VR concerts, like the Shawn Mendes event, expand user engagement opportunities.

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Benefits

Stock Options

Company Equity

Mental Health Support

Flexible Work Hours