Software Engineer, Machine Learning

Software Engineer, Machine Learning

Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)

Job Location: Menlo Park, California

Job Type: Full-time, 9am - 6pm, 40 hours a week, Monday - Friday

Salary: $184,187/year to $200,200/year + bonus + equity + benefits

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

Duties:

• 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.
• 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.

Requirements:

• Requires a Master's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
• Requires completion of a graduate-level course, research project, or internship involving each of the following:
• Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
• Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
• Translating insights into business recommendations
• Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
• Developing and debugging in C/C++ and Java
• Scripting languages such as Perl, Python, PHP, or shell scripts