Software Engineering Manager

About the position

Flawless is shattering the boundaries of traditional filmmaking with its groundbreaking suite of Gen AI film editing tools. Our mission is to empower filmmakers with cutting-edge technology that allows creativity without compromise, expands storytelling possibilities, and delivers unparalleled visual and emotional experiences. As a Machine Learning Engineering Manager, you will manage a team of machine learning engineers, overseeing large-scale data curation/labeling, ML Ops, and the prototyping and deployment of flexible ML frameworks. You will transform exploratory research into scalable pipelines through strong engineering and ML Ops principles, collaborating closely with various teams across the US and UK offices.

Responsibilities

• Manage team of Machine Learning Engineers managing and executing data curation, labeling, annotation and deployment.
• Evaluate team members, their performance and production.
• Oversee and deliver large deep learning development systems for the ML Engineering team.
• Manage delivery of deep learning network optimization to include quantization, model parallelization, and model distillation.
• Manage and deliver high quality datasets for ML pipeline and manage successful delivery of ML pipeline for ML Model deployment.
• Partner closely with Applied Science Leadership, VFX, Product and Engineering teams to ensure successful delivery of ML systems and pipeline deployment. Oversee quality of and identify biases in datasets.

Requirements

• Bachelor or Masters Degree in Computer Science, Machine Learning and Computer Vision.
• Highly knowledgeable in numerical optimization and linear algebra
• 6+ years in deep learning network optimization
• 6+ years in large deep learning system development
• 3-5 years building and managing teams of engineers
• Expert in Python/Pytorch or Tensorflow
• 5+ years experience managing vendors and building scalable ML pipelines for image and video modalities with tools such as Flyte, Prefect, AirFlow, or Kubeflow
• Experience with various cloud data storage technologies on AWS, GCP, or Azure
• Excellent communication and interpersonal skills with team and cross functional partners.

Nice-to-haves

• Masters or PhD graduate in Computer Science, Machine Learning and Computer Vision.
• 6+ years building, leading, and scaling deep learning, machine learning engineering teams
• Experience in a rapidly scaling startup environment
• Experience in Generative AI and Computer Vision focused projects
• Experience in entertainment, film, or VFX industry.

Benefits

• $225,000 - $275,000 a year