Machine Learning Engineer

Lensa partners with DirectEmployers to promote this job for META.

Summary

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Required Skills

Machine Learning Engineer 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 (eg distributed clusters, multicore SMP, and GPU).
• Work on a range of classification and optimization problems, (eg payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detention.).
  
  

Minimum Qualifications

Minimum Qualifications:

• Requires a Master’s degree (or foreign degree equivalent) in Computer Science, Computer Engineering, Electrical Engineering, or related field and two years of work experience in the job offered or in a computer related occupation.
• Requires two years of experience in the following:
• Insights into business recommendations
• Hadoop/Hbase/Pig, Spark, or Mapreduce/Sawzall/Bigtable
• Developing and debugging in C/C++ and Java
• Scripting languages: Perl, Python, PHP or shell scripts
• Deep learning framework such as PyTorch and Tensorflow
• Developing machine learning algorithms for natural language processing applications
• Large-scale distributed training and real-time inference and
• Building end-to-end machine learning pipelines for offline and online experiments.
  

Public Compensation

$242,004/year to $251,684/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

If you have questions about this posting, please contact [email protected]