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, and develop machine learning systems for resource constrained environments such as mobile devices and AR/VR headsets.

Utilize low level programming, algorithmic optimization, and hardware acceleration to optimize the performance of the PyTorch machine learning framework across mobile hardware environments.

Apply deep neural networks to a variety of domains such as image object detection, image background segmentation, foundational language models, ads/feed/search ranking, and audio transcription to enrich user experience in Meta’s family of social media applications.

Apply GPU programming to enable acceleration of machine learning models via the mass parallelism offered by graphics processors.

Investigate and resolve performance bottlenecks in real-time machine learning workloads.

Design and implement moderate-sized software modules of the Pytorch machine learning library with a focus on achieving good software quality.

Apply GPU shader programming with Cuda, OpenCL, Vulkan and usage of CPU vector intrinsics to implement optimized mathematical functions that will be used to execute Pytorch machine learning models on mobile and edge (e.g.

VR headsets) devices.

Collaborate with team members

review code, delegate tasks, deliberate design reviews, etc.

Minimum Qualifications

Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Mechatronic Engineering, Applied Sciences, Mathematics, Physics, or related field.

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

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

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

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

4. Scripting languages: Perl, Python, PHP, or shell scripts 5. C, C++, C#, or Java

6. Python, PHP, or Haskell

7. Relational databases and SQL

8. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands

9. Distributed systems including sharding, consistency, and availability

10. Building highly-scalable performant solutions

and 11. Data structures and algorithms.

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.

$229,501/year to $240,240/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.

Equal Employment Opportunity

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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