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Machine Learning Engineer
Meta Little Rock, AR
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$93k-115k (estimate)
Full Time 2 Days Ago
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Meta is Hiring a Machine Learning Engineer Near Little Rock, AR

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:

Machine Learning Engineer Responsibilities


  1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.

  2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.

  3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.

  4. Work on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, linear/logistic regression and rule-based models.

  5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.

  6. 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.

  7. Receive general instruction from supervisor, code deliverables in tandem with the engineering team.

  8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.

  9. distributed clusters, multicore SMP, and GPU).

  10. Telecommute from anywhere in the U.S.permitted.

Minimum Qualifications:

Minimum Qualifications


  1. Requires a PhD degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 6 months of experience in the job offered or in a computer-related occupation. Position requires 6 months of experience in the following:

  2. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow

  3. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems

  4. Translating insights into business recommendations

  5. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark

  6. Scripting languages: Perl, Python, PHP, or shell scripts

  7. Relational databases and SQL

  8. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting

  9. Build highly-scalable performant solutions

  10. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction

  11. 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

  12. Distributed systems

  13. Algorithms

  14. Big Data Modeling & Analysis

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

Public Compensation:

$181,272/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 accommodations-ext@fb.com.

Job Summary

JOB TYPE

Full Time

SALARY

$93k-115k (estimate)

POST DATE

05/03/2024

EXPIRATION DATE

05/16/2024

WEBSITE

meta.ua

HEADQUARTERS

REDWOOD CITY, CA

SIZE

50 - 100

FOUNDED

2013

TYPE

Private

CEO

REMCO WESTERMANN

REVENUE

<$5M

INDUSTRY

Business Services

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About Meta

META is an online media platform that publishes news on politics, weather, sports, health, finance, lifestyle and entertainment segments.

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The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.

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