Senior AI/ML Engineer
Remote (U.S.) | Preferred Eastern Time Zone
About Switcher
Switcher empowers creators and businesses to produce, edit, and stream professional multi-source video using the devices they already own. As a pioneer in mobile livestreaming and live commerce — and an official launch partner for Facebook Live, Microsoft Stream, and LinkedIn Live — we’ve helped creators in over 118 countries share stories that matter.
Now, we’re scaling our platform to power the next generation of AI-driven livestreaming and video creation. We’re looking for a Senior AI/ML Engineer to design and deploy intelligent, real-time video and audio solutions that transform how people create, personalize, and share content.
What You’ll Do
As a Senior AI/ML Engineer, you’ll lead initiatives that bring the power of AI to video production and live streaming.
You will:
- Partner with Product and Engineering to define an AI/ML roadmap aligned with business goals
- Own the end-to-end ML lifecycle — from data acquisition and preprocessing to model training, evaluation, and deployment
- Build LLM-based agents and custom workflows to enhance developer productivity and user experience
- Optimize models for real-time performance on both cloud and device
- Work on text-to-image generation, image segmentation, object and pose detection, and speech recognition
- Apply both generative and discriminative techniques to real-world video use cases
- Design, prototype, and deploy production-ready ML models focused on computer vision, audio intelligence, and multimodal understanding
- Develop efficient, lightweight models optimized for mobile/web inference (e.g., TensorFlow.js, ONNX)
- Integrate ML models into the Switcher platform, collaborating closely with full stack and mobile engineers
- Conduct code reviews, champion best practices, and mentor junior engineers
- Stay current with research and industry trends in applied AI, identifying opportunities to innovate
What You’ll Bring
- 5+ years of experience building and deploying ML models in production environments
- Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience with generative (diffusion, transformer) and discriminative (classification, segmentation) models
- Solid understanding of data pipelines, feature engineering, and model evaluation
- Proven experience in computer vision and optionally audio processing
- Familiarity with deploying ML models to cloud and mobile
- Excellent communication skills and the ability to translate complex ML concepts into practical solutions
You’ll Thrive Here If You…
- Love exploring the frontier between AI research and real-world product impact
- Enjoy building elegant, production-ready systems that push technical boundaries
- Balance innovation with pragmatism — you ship, learn, and iterate quickly
- Collaborate closely with cross-functional teams and value open, honest feedback
- Are curious, experimental, and eager to keep learning as the AI landscape evolves
Our Core Values
At Switcher, our values guide how we build, collaborate, and grow:
- Create Something Great: We think big but stay agile, letting data and creativity drive innovation.
- Learn From Our Customers: We build with our users, not just for them.
- Build Each Other Up: We grow together by supporting, mentoring, and celebrating our teammates.
Be Open and Honest: We communicate directly and respectfully, always seeking better ways forward.
Win Through Diverse Perspectives: We value different experiences and viewpoints as key to better decisions and stronger products.
Why You’ll Love Working Here
- Work on meaningful, industry-shaping AI features that redefine video creation
- Collaborate with a passionate, globally distributed team
- Remote-first environment with flexible working hours
Equal Opportunity
We’re building a team as diverse as the creators we serve.
Switcher, Inc. is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, or veteran status.