What are the responsibilities and job description for the Software Engineer #Python #DeepLearning #Pytorch position at Infyshine Inc?
Job Details
Request ID - 61857-1
Location: Location: Burlingame, CA or Pittsburgh, PA Heavily Preferred (Onsite) Highlighted in Yellow color all are required.
Years of experience - 6 years experience with Python and source control, 3 years on PyTorch and DL
Must have Skills:
6 years of experience in Python, especially with large codebases, preferably in Big Tech or mid-to-large companies
Experience in training big deep learning models with PyTorch
Proficiency in continuous integration and testing
Knowledge of code optimization techniques
Familiarity with GPU coding and backend ML systems (a plus)
Strong problem-solving skills and attention to detail, with the ability to independently overcome technical roadblocks
Experience working collaboratively and communicate effectively across functional teams
Capability to work independently and within a team
Experience in maturing machine learning systems, such as defining evaluation metrics, building evaluation systems, scaling up pipelines and tooling
Experience in creating and maintaining public projects (Github), Code Optimization (CPU and GPU), GPU Coding
Team / Role Overview
The XRCIA team aims at delivering the future of communication photorealistic telepresence via Codec Avatars. Our aspiration is to connect people separated by distance as if they were in the same room together. We achieve this by researching, developing and productionizing state-of-the-art methods in cross sections of computer
graphics, computer vision and machine learning for human understanding and telepresence. As a Research Engineer or Software Engineer on our team, the individual will have the opportunity to build innovative machine learning infrastructure that will shape the stability and robustness of cutting edge technologies that will power the
Metaverse.
Job Overview
We are looking for a seasoned Senior Software Engineer (SWE V) with a research engineering skillset to spearhead code improvement initiatives. The ideal candidate should possess a robust background in software development, particularly in Python, Deep Learning (DL) theoretical knowledge, experience training big DL models, and code
optimization. This includes continuous integration and testing, experience with GPU coding, PyTorch, and backend ML systems. Our team focuses on transforming DL research codebases into product-ready states.
The successful candidate will primarily code in Python. While experience with backend systems and managing large codebases is beneficial, it is not mandatory.
Key Responsibilities
Codebase migrations
Enhancing code quality
Increasing test coverage through unit and integration testing
Code refactoring
Optimizing backend workflow orchestration
Additional engineering tasks such as setting up dashboards and alerts, and assisting with on-call workloads
Interact with scalable and distributed training algorithms and efficient data loading for large scale deep learning
Collaborate with both research and maturation teams to push research to products
Most of the tasks detailed would be performed on DL pipelines