About this role
Full Time Entry-level Software Engineer, Machine Learning in AI at Meta in New York, NY. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- New York, NY
- Experience
- Entry-level
Core stack
- Natural Language Processing
- Machine Learning
- Computer Science
- Computer Vision
- Optimization
- Social Media
- Performance
- Distributed
- TensorFlow
- Haskell
- PyTorch
- Python
- Hadoop
- Design
- Spark
- Linux
- Shell
- Java
- Perl
- Unix
- PHP
- SQL
Quick answers
What are the qualifications?
Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Mechatronic Engineering, Applied Sciences, Mathematics, Physics, or related field.
What skills are required?
Natural Language Processing, Machine Learning, Computer Science, Computer Vision, Optimization, Social Media, Performance, Distributed, TensorFlow, Haskell, and more.
Meta is hiring for this role. Visit career page
New York City, United States
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.
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.
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: Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
* Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
* Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
* Scripting languages: Perl, Python, PHP, or shell scripts C, C++, C#, or Java
* Python, PHP, or Haskell
* Relational databases and SQL
* Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
* Distributed systems including sharding, consistency, and availability
* Building highly-scalable performant solutions and
* Data structures and algorithms
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.
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: Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
* Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
* Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
* Scripting languages: Perl, Python, PHP, or shell scripts C, C++, C#, or Java
* Python, PHP, or Haskell
* Relational databases and SQL
* Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
* Distributed systems including sharding, consistency, and availability
* Building highly-scalable performant solutions and
* Data structures and algorithms