Software engineer machine learning

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:

Software Engineer, Machine Learning Responsibilities:

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).

Telecommuting from anywhere in the US allowed.

Minimum Qualifications:

Minimum Qualifications:

Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field and 12 months of experience in the job offered or in a computer-related occupation

Requires 12 months of experience involving the following:

Machine Learning Frameworks(s): PyTorch, MXNet, or Tensorflow

Machine Learning, recommendation systems, natural language processing, data mining or distributed systems

Translating insights into business recommendations

Hadoop /Hbase /Pig or Mapreduce /Sawzall /Bigtable

Scripting languages such as Perl, Python, PHP, and shell scripts

C, C++, Java, or C#

Python, PHP, or Haskell

Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)

Building highly-scalable performant solutions

Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems

Public Compensation:

$215,356/year to $240,240/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].