Software Engineer, Machine Learning New York, NY • Software Engineering • Machine Learning New [...]

Meta; New York (NY); On-site; USD 185,000 - 201,000; Full time

Job summary

Meta is looking for a Software Engineer specializing in Machine Learning to develop scalable systems that enhance social interaction. Candidates should have a Master's degree and experience in programming languages like C++, Java, and machine learning techniques. Join us to shape the future of social technology through innovative solutions.

Qualifications

• Master's degree in Computer Science or related field required.
• Experience in machine learning, specifically in implementing algorithms and tools.
• Proficiency in C, C++, and Java development.

Responsibilities

• Develop and test software for operating systems and network distribution focusing on social data.
• Create scalable systems using deep learning and advanced algorithms.
• Adapt standard methods to optimize machine learning in large scale environments.

Skills

Machine Learning

Recommendation Systems

Computer Vision

Natural Language Processing

Data Mining

Distributed Systems

Software Development

SQL

Education

Master's degree in Computer Science or related field

Tools

Linux

GIT

C++

Java

Job description

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.

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).

Minimum Qualifications

Requires a Master's degree in Computer Science, Computer Software, Intelligent Information Systems, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.

Requires completion of a university-level course, research project, internship, or thesis in the following:

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

3.� Translating insights into business recommendations

5.� Developing and debugging in C, C++, and Java

9.� Relational databases and SQL

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

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

12.� Build highly-scalable performant solutions

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

14.� 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

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$185,644/year to $200,200/year + bonus + equity + benefits

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

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .