ML Infrastructure Engineer (Python, PyTorch, AR/VR)

SGS Consulting; Washington (District of Columbia); On-site; USD 130,000 - 180,000; Full time

Job summary

SGS Consulting is seeking a data-driven ML software engineer with a strong Python background to advance audio, multimodal, and AR/VR research initiatives in Washington, DC.

The role focuses on implementing and evaluating end-to-end prototypical learning systems, working with PyTorch or similar frameworks, and collaborating with researchers to turn ideas into scalable solutions. Experience with Linux/Windows shells and distributed compute is a plus.

Qualifications

• BS degree in Computer Science or related field or equivalent experience.
• Experience with deep learning frameworks in Python (PyTorch or TensorFlow).
• Experience handling large multimodal data sets for ML.
• Proven ability to implement end-to-end prototypical learning systems.
• Experience with high performance or distributed compute solutions.
• Some deployment and CI experience.

Responsibilities

• Develop ML software in Python with focus on audio and multimodal data.
• Experiment with and evaluate learning systems and models.
• Collaborate with researchers to translate ideas into scalable solutions.
• Work with distributed compute, deployment, and CI workflows.

Skills

Python

Infrastructure

PyTorch

Distributed infrastructure

Multimodal data

Audio

AR/VR

Education

BS degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Docker

Job description

SGS Consulting is seeking a data-driven ML software engineer with a strong Python background to advance audio, multimodal, and AR/VR research initiatives in Washington, DC.

The role focuses on implementing and evaluating end-to-end prototypical learning systems, working with PyTorch or similar frameworks, and collaborating with researchers to turn ideas into scalable solutions. Experience with Linux/Windows shells and distributed compute is a plus.