Tech Lead, GenAI
Job Summary
Job Description
Tech Lead for Lipdub AI, optimizing video data streaming, ML pipelines, and user experience. Must have Python, AWS, video streaming expertise.
Must have:
- Python experience
- AWS experience
- Video streaming
- Performance tuning
Good to have:
- ffmpeg experience
- PyTorch experience
- RTMP experience
- Computer vision
Perks:
- Innovative environment
- High impact role
11 skills required
Job Details
Join Our Vision
At MARZ we have been working for two years to build THE best in-house lip-syncing tool to break down language barriers in e-learning, advertising, and Hollywood. LipDub at its core modifies given footage to match any supplied audio track, allowing for use cases such as localization, ADR, scaled marketing, and many more. In the market today, MARZ is the premier provider of accurately lip-synced high-fidelity video dubbing, and we’re not stopping here.LipDub algorithms are developed entirely in-house by some of the strongest researchers and leaders in computer graphics and generative modelling (see:
Don’t believe our quality? Checkout our highlight reel: Lipdub AI
The Role
MARZ is seeking an experienced Tech lead to streamline the pipeline from user uploaded video to app produced result. MARZ already has a product in Beta with customers, this role will focus on adding new features to support our users advanced use cases. This role is for you if you can dream big and build fast.The Tech lead will act as the glue between our research and product teams ensuring they understand (and sometimes contribute) to the research initiatives while also preparing product for the release of new functionality. This role is the definition of multidisciplinary allowing successful candidates to learn about the entire system and drive the direction of the company.
What You'll Do
You will be the Tech Lead of the Lipdub AI application at MARZ.
As a Tech Lead, you will:
- Take the initiative on the architecture and implementation of new features that will drive a high impact for the team (cost optimization, faster data processing, system scalability, etc.)
- Develop and implement high-efficiency video data streaming solutions, focusing on reducing latency for real-time processing.
- Optimize I/O processes for various video file formats to ensure seamless integration into our AI systems.
- Reduce the cost of processing data, training our AI models and generating results.
- Performance tuning for ML pipeline and ML backend (Python).
- Scaled testing of AI output to make sure changes do not negatively impact the quality of the production.
- Collaborate with cross-functional teams to integrate new video technologies and formats into our platform.
- Although this is not a management role, you will be expected to formulate best practices for the team and maintain a high standard for code quality.
- Design and implement testing frameworks to ensure the highest quality of video streaming capabilities.
- Stay ahead of industry trends in video compression and streaming technologies to continuously improve our solutions.
- Troubleshoot and resolve complex issues, enhancing system reliability and performance.
What You Bring
The ideal candidate will have:
- A Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
- Depth of experience in the Python programming languages
- Proven track record of optimizing performance for cost and speed
- Experience delivering user facing features in Python
- Excellent communication and teamwork skills, with a proven ability to work effectively in a fast-paced, innovative environment.
- Experience in architecting and developing cloud-native solutions on AWS
Nice to Haves
- Extensive experience with video file formats, codecs, and transcoding.
- Proficiency in ffmpeg for multimedia processing and streaming.
- Experience with PyTorch for machine learning applications.
- Solid understanding of real-time streaming protocols (e.g., RTMP, WebRTC) and experience in integrating them into applications.
- Familiarity with cloud platforms (AWS, GCP) for deploying multimedia applications is a plus.
- Strong understanding of network architectures and protocols relevant to streaming and real-time data transmission.
- Innovative problem-solving skills with a focus on performance optimization and scalability.
- Understanding of ML concepts related to computer vision and/or how to develop pipelines for such applications
- Excellent communication and teamwork skills, with a proven ability to work effectively in a fast-paced, innovative environment.
What happens next
After we receive your application, it will be reviewed by the Talent Acquisition team and the Hiring Manager. We will then invite successful candidates to a Technical Interview (~60 mins) with the Hiring Manager. All interviews are conducted via Google Meet. This process is subject to change at any time, but will follow as close to the above as possible at all times.
At MARZ, we are an equal-opportunity employer that values diversity and does not discriminate on any protected characteristic as defined by applicable law. We are committed to providing reasonable employment accommodations as per the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act.
We will also look to provide reasonable accommodations as required for applicants to participate in the application and interview processes. Please let us know if you require any accommodation(s). We can be reached via email at jobs@marzvfx.com, via the Contact Us page on our company website, or via phone at +1 (416) 840-5556. Please note that we cannot accept general applications via any of these contact methods; they are specifically for providing support and/or accommodations to those who require such assistance.
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About The Company
We are MARZ, an AI-enabled VFX company dedicated to democratizing the world of visual effects. Our mission is to make the production of premium TV content fast and effortless. By leveraging our proprietary AI software, specialized production operations for television, powerful GPU clusters, and a team of talented professionals from diverse industries, we deliver exceptional results.
Since our launch in 2018, we have been privileged to collaborate on over 110 esteemed TV projects. Some notable examples include The Umbrella Academy S3 on Netflix, Moon Knight and WandaVision from Marvel, Ms. Marvel, The Flight Attendant on HBO Max, Invasion on Apple TV+, Wednesday on Netflix, Carnival Row on Amazon Prime Video, Spiderman: No Way Home from Marvel, Being the Ricardo's on Amazon Prime Video, and many more.
We take great pride in our contributions to these projects and look forward to continuing our journey in pushing the boundaries of visual effects in television. Stay tuned for more exciting ventures ahead! #VFX #MARZ
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