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: $182,000.00/year to $200,200.00/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.

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 classification and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, 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).

Requirements:

• Bachelors degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or in a computer-related occupation.
• Experience must include 1 year of experience in the following:
• Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
• Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
• Deep understanding of NLP techniques and experience working with Large Language Models (LLMs), including model training, fine-tuning, or inference optimization
• Translating insights into business recommendations
• Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
• Scripting languages such as Perl, Python, PHP, or shell scripts
• Python, PHP, or Haskell
• Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
• Building highly-scalable performant solutions
• Distributed systems including sharding, consistency, and availability
• Data structures and algorithms