- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
- Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
- Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
- Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
- Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
- Receiving general instruction from supervisor, 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).
- Requires a Master’s degree (or foreign equivalent degree) in Computer Science, Computer Software, Electrical Engineering, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:
- 1. �Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
- 2.� Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
- 3. �Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
- 4.� Scripting languages: Perl, Python, PHP, or shell scripts
- 5.� C, C++, C#, or Java
- 6.� Python, PHP, or Haskell
- 7.� Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
- 8.� Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction.
$214,032/year to $240,240/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.
Report job
