Description

Are you an AI/ML Software Engineer with expertise in Python, cloud-based architectures/infrastructures, and a passion for designing and developing scalable, fault-tolerant services? Do you thrive on building innovative solutions and working on cutting-edge technologies? If so, we’d love to hear from you!

Responsibilities

• Design, develop, and architect high-performance AI/ML services and pipelines in a cloud-based environment.
• Contribute to cutting-edge R&D initiatives, including service integration with emerging frameworks and platforms.
• Assist with the technical resolution of issues on mission-critical production systems, embracing the philosophy: "you build it, you own it, you run it."
• Think outside the box to devise solutions that scale, are fault-tolerant, easy to grasp, and elegant.

Requirements

• 3+ years of hands-on experience with Python.
• 4+ years of hands-on experience with machine learning, deep learning, large language models, and/or foundational models.
• Hands-on experience with cloud-based architectures/infrastructures (AWS), specifically related to AI/ML pipelines.
• Experience in building workflows for automated data preparation, curation, and annotation, including secure, scalable storage and retrieval for model training.
• Experience in fine-tuning models, training, validating, testing, and deploying them in production settings.
• Experience in vision-based AI, including automated data labeling, object detection, and image segmentation.

Preferred Qualifications

• Experience with any of the following: NVIDIA Enterprise AI Solutions, AWS SageMaker, AWS Bedrock, AWS Clean Rooms, and Data Lakes.
• Experience in building and fine-tuning various image, text, audio, and video classification models, such as shot/scene detection, captions, object labeling, and attention scoring.
• Experience with Media and Entertainment industry file formats and applications (IMF, Pro Tools, MXF, 3D, etc.).
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a remote, global team.
• Strong communication and interpersonal skills for effective collaboration.

Note: If you feel strongly that you have what it takes for this role but don’t check 100% of the boxes—that’s okay—we encourage you to apply anyway and highlight what you can bring to the table.