Founding Machine Learning Engineer, Computer Vision

About Tempo

Tempo is revolutionizing how creators thrive in the digital age. We're building a platform that empowers creators to take control of their content journey – from creation to monetization – while fostering a community that celebrates creativity and joy.

Our team is a unique blend of tech innovators and media veterans, backed by a successful $4M pre-seed round led by top tier VCs. We're in the early stages of a massive growth trajectory, and we're seeking passionate individuals who want to shape the future of creator-driven content.

Role

We're looking for an exceptional Machine Learning Engineer with a strong computer vision background to join our founding team.

As a founding ML Engineer, you will play a pivotal role in building and shaping the AI capabilities within our Creator Studio product. Your expertise will be essential in designing and implementing cutting-edge computer vision capabilities that empower creators with innovative tools. You'll need to thrive in a fast-paced, dynamic startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying computer vision systems in production, and you're passionate about pushing the boundaries of what's possible with AI.

Responsibilities

• Develop and deploy state-of-the-art computer vision models to enhance the capabilities of our Creator Studio product.

• Research, prototype, and implement new AI features that leverage cutting-edge computer vision techniques to solve real-world creator challenges.

• Collaborate with engineering and design to translate customer requirements into AI features and gather user feedback for continuous improvement.

• Contribute to the technical vision and architecture of our AI systems, helping to build a scalable and maintainable platform for future growth.

• Stay up-to-date with the latest advancements in computer vision research and evaluate their potential applicability to our products.

What you have

• 5+ years of experience in industry or an academic setting in developing, evaluating, and deploying ML models into production.

• Prior experience working on generative models including GANs, VLMs, video models, or contrastive multimodal models.

• Expertise in scaling data acquisition for foundation model fine tuning, inference, evaluation, etc.

• Solid understanding and experience in deep learning and classical computer vision.

• Experience with FFmpeg or other high performance image/video processing libraries is preferred.

• MS or PhD degree in Computer Science, Math, Physics or a related field.