Machine Learning Engineer
Santa Monica, CA 90401
Flawless AI
Pioneers in generative AI Filmmaking technology. Cinematic quality AI driven tools for filmmakers, entertainment companies and distributors that respects the art.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. We are also setting new standards in ethical AI by creating clean datasets and building the Artistic Rights Treasury (A.R.T.), a rights management solution designed to protect artists and rights holders within the Entertainment landscape.
What we are looking for:
As a Machine Learning Engineer, you will be working with a team focusing on large-scale (synthetic) data generation, curation, analysis, and labeling, as well as prototyping and deploying flexible ML frameworks for scalable experimentation and benchmarking of new research developments.
As a member of the science department, you will be expected to create flexible and scalable ML frameworks to transform exploratory prototypes into scalable and deployable experimentation and product pipelines through solid ML design patterns, MLOps principles, and quality software design.
This role will partner closely with our Research, Applied Science, Engineering, Film Innovation, and VFX teams in the US and UK offices. In this role, you will be expected to be a subject matter expert in modern computer vision concepts, scalable Machine/Deep Learning system development, model and data optimization, and orchestration.
Our work in automated visual translation is just the beginning, and we are developing countless exciting products based on the application of our proprietary, cornerstone research.
Responsibilities:
- Develop flexible and scalable ML frameworks for prototyping and robust experimentation at scale.
- Deliver Machine/Deep Learning system optimizations, including but not limited to cost-effective orchestration, data and model quantization, and model parallelization.
- Partner closely with Science Producer, Applied Science, VFX, Product, and Engineering teams to ensure successful delivery of new research technologies and Machine/Deep Learning systems.
Qualifications:
- Bachelor or Masters Degree in Computer Vision, Machine Learning, or related fields.
- Minimum of 2 years of relevant work experience.
- Strong communication and interpersonal skills with team and cross-functional partners Excellent Python. and object-oriented programming skills.
- Experience developing with or using deep learning frameworks (PyTorch, TensorFlow, ONNX, etc.).
- Experience building scalable ML pipelines for multi-media modalities with tools such as AirFlow, Flyte, Kubeflow, or Prefect.
- Experience with various cloud data storage technologies on AWS, Azure, or GCP.
- Experience with software development best practices and version control systems.
Preferred Qualifications:
- PhD in Computer Science, Computer Vision, Machine Learning, or related fields.
- Experience with cutting-edge computer vision problems and the translation of these solutions from research into product.
- Demonstrated ability to deliver high-quality, production-level code in a dynamic and collaborative environment.
- 5 years of relevant work experience.
Your Recruiter and hiring manager will be your main point of contact and prepare you for interviews. You’ll meet 5-6 people from across the Science teams. (We make sure that you have time in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback!
We’re creating the future of entertainment and we’d love for you to be a part of it. Ready to make your mark? Apply today!
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Computer Science Computer Vision Deep Learning Engineering GCP Generative AI Kubeflow Machine Learning MLOps ONNX OOP PhD Pipelines Prototyping Python PyTorch R Research TensorFlow
Perks/benefits: Career development Flex hours
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