Machine Learning Engineer

New York, NY

Meta

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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.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
  • 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:
  • 1. Insights into business recommendations
  • 2. Hadoop/Hbase/Pig, Spark, or Mapreduce/Sawzall/Bigtable
  • 3. Developing and debugging in C/C++ and Java
  • 4. Scripting languages: Perl, Python, PHP or shell scripts
  • 5. Deep learning framework such as PyTorch and Tensorflow
  • 6. Developing machine learning algorithms for natural language processing applications
  • 7. Large-scale distributed training and real-time inference and
  • 8. Building end-to-end machine learning pipelines for offline and online experiments.
For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$242,004/year to $251,684/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Tags: Bigtable Classification Computer Science Deep Learning Engineering GPU Hadoop HBase Java Machine Learning NLP Perl PHP Physics Pipelines Python PyTorch Spark TensorFlow VR

Perks/benefits: Career development Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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