Salary Range: 225000 to 275000 (Currency: USD) (Pay period: per-year-salary)

As a Machine Learning Engineering Manager, you will manage a team of machine learning engineers: Managing and executing large-scale data curation/labeling, ML Ops, and prototyping and deployment of flexible ML frameworks. Working in the science department, you will be expected to transform exploratory research into scalable pipelines through strong engineering and ML Ops principles. Additionally, you will be charged with managing the team and collaborating with the engineers within the team. This role will partner closely with our Applied Science, VFX, Product, Engineering, and Film Innovation teams in the US and UK offices. In this role you will be expected to be a subject matter expert in data labeling, computer vision concepts, large deep learning system development, model optimization and acceleration. As a leader in the science department, you will be expected to understand research initiatives, build pipelines to evaluate KPIs at scale, deliver datasets to mitigate model limitations, and communicate ongoing team efforts to various stakeholders. Our work in automated visual translation is just the beginning, and we’re developing countless exciting products based on the application of our proprietary, cornerstone research.

Responsibilities:

Manage team of Machine Learning Data 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.

Qualifications

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

Preferred Qualifications

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

Flawless is proud to emphasize an equal opportunity, safe environment for people to do their best work. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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Preferred Qualifications

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