Deep Learning Engineer
Software Engineer V - Code Improvement Initiatives
Onsite
(W2 Only - NO C2C/C2H)
Summary:
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 VR.
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.
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
Required 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
Preferred Skills:
• 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 (e.g., GitHub)
• Code Optimization (CPU and GPU), GPU Coding
Pay range is $104 - $109 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.
For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.
Software Engineer V - Code Improvement Initiatives
Onsite
(W2 Only - NO C2C/C2H)
Summary:
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 VR.
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.
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
Required 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
Preferred Skills:
• 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 (e.g., GitHub)
• Code Optimization (CPU and GPU), GPU Coding
Pay range is $104 - $109 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.
For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.
