Software Engineer

Lensa; Austin (TX); Remote; USD 178,000 - 201,000; Full time

Job summary

Join a leading technology company as a Software Engineer, working on innovative solutions that utilize advanced machine learning techniques. This role requires a Master's degree and experience in designing scalable systems, with opportunities to influence the next evolution of social technology. If you are passionate about software engineering and eager to work on large-scale challenges involving real-world applications, apply today.

Qualifications

• Requires a Master's degree or foreign equivalent in relevant fields.
• Experience with machine learning frameworks is mandatory.
• Familiarity with programming in C/C++ and Java required.

Responsibilities

• Research and develop systems for operating software problems.
• Work on scalable systems leveraging data from massive datasets.
• Develop solutions involving machine learning and deep learning techniques.

Skills

Machine Learning

Data Processing

Programming Languages

Distributed Systems

Relational Databases

Education

Master’s degree in Computer Science

Tools

PyTorch

Tensorflow

Java

C/C++

SQL

Job description

2 days ago Be among the first 25 applicants

Lensa partners with DirectEmployers to promote this job for META.

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 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 is permitted from anywhere in the U.S.
  
  

Minimum Qualifications

Minimum Qualifications:

• Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field. Foreign equivalent accepted.
• Requires completion of a graduate-level course, internship, or research project involving the following:
• Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
• Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
• Developing and debugging in C/C++ and Java
• Scripting languages such as Perl, Python, PHP, or shell scripts
• C, C++, C#, or Java
• Python, PHP, or Haskell
• Relational databases and SQL
• Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
• Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
• Build highly-scalable performant solutions
• Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
• 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
• Distributed systems
  

Public Compensation

$178,360/year to $200,200/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 [e-mail].

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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