Senior AI/ML Engineer

When founded, Switcher enabled everyday video users to create branded and professional multi-source video content using iPhone or iPad cameras — uncomplicating live streaming and camera-switching with an easy-to-use iOS app. Our core product solution was developed to help video streamers broadcast, edit, record and publish live or recorded experiences at a pro level without being a video professional. As an official launch partner for Facebook Live, Microsoft Stream, LinkedIn Live and more, Switcher has led the market as the go-to mobile video solution.

Today, Switcher’s not only serving our core users but bringing limitless video capabilities to a growing industry of video commerce creators. We’re leading the market by offering simple and accessible live-selling solutions to a growing number of SMB clients.

As we scale our technical organization, Switcher is seeking a Senior AI/ML Engineer to lead the design, development, and deployment of cutting-edge machine learning solutions for video production. Reporting to our Director of Engineering, you’ll collaborate with Product, Engineering, and Design to identify strategic opportunities for AI-driven innovation and turn them into real-time, intelligent features that transform how people create and share video. 

This role is U.S.-based, with preferred working hours in the Eastern time zone.

In this role, you’ll:

• Drive initiatives from idea through implementation.
• Work at the intersection of computer vision, audio intelligence, personalization, and predictive analytics to shape the future of livestreaming.
• Apply practical machine learning techniques to large, proprietary datasets, while leveraging existing open-source and public-domain models where appropriate to accelerate development.

As a Senior AI/ML Engineer, you’ll be expected to:

• Partner with product and engineering stakeholders to define the AI/ML roadmap aligned with business goals.
• Design, prototype, and deploy production-ready ML models, with a focus on computer vision and multimodal understanding in the video domain.
• Apply both generative and discriminative machine learning techniques to real-world problems in the video content space
• Work on task types including text-to-image generation, image segmentation, and object and pose detection — with opportunities to leverage and deploy public-domain models for speech recognition and audio intelligence.
• Own the full ML lifecycle, from data acquisition and preprocessing to training, evaluation, and deployment
• Design and implement efficient, lightweight ML models optimized for deployment on mobile and edge devices
• Collaborate with engineering teams to integrate ML models into the Switcher platform
• Develop LLM-based Agent functionality with custom tools and workflows
• Optimize models for real-time inference and performance on mobile device and cloud platforms
• Conduct code reviews, promote engineering best practices, and mentor junior team members
• Stay up-to-date with the latest research, tools, and industry trends in AI/ML and assess their relevance for our product
  

Who You Are

A technical leader. You bring a depth of knowledge and maturity in designing and implementing ML solutions.

A problem-solver. You connect complex data-driven ideas to tangible product improvements and user value.

An innovator. You seek practical AI applications and have a bias for experimentation and continuous learning.

A collaborator. You thrive in a cross-functional team environment and communicate effectively across disciplines.

Experiences You Bring to the Table:

• 5+ years of experience in applied machine learning, with a strong track record of building and deploying models in production
• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience with both generative (e.g., diffusion, transformer-based) and discriminative (e.g., classification, segmentation) AI approaches
• Strong understanding of data pipelines, model evaluation, and feature engineering
• Experience with computer vision and/or audio processing techniques is a strong advantage
• Familiarity with deploying ML models on cloud platforms (e.g., GCP, AWS) and edge/mobile environments (e.g., ONNX, TensorFlow Lite)

Our Ideal Candidate Will Value What We Value

At Switcher, we embrace our Core Values and believe they’re what makes working within our team culture special.

We’re Creating Something Great

We think big — big growth, big product improvements, big impact — but we stay nimble, recognizing that we reach greatness through small steps and agile changes. We prioritize what’s important, letting data guide our decision-making. We refuse to stagnate.

We Learn From Our Customers

We work not for our customers but with them. We strive to create simple, accessible solutions for our customers’ needs, and we do this through actively listening to them, empathizing with them, and working alongside them. We win when our customers win.

We Build Each Other Up

We are a team, one whose members are committed to helping each other grow and succeed. We work collaboratively rather than competitively, highlighting others’ wins. We foster healthy relationships and continuous personal development to ensure everyone flourishes. 

We Are Open And Honest

We are open to debate, open to feedback, open to changing course. That means speaking up — to and for each other — and doing so with respect and integrity. It also means admitting mistakes and having hard conversations, knowing they make us better.

We Win Through Diverse Perspectives

We value having multiple points of view, not just in our videos but also in our decision-making. Seeking out different perspectives allows us to challenge our thinking, bringing nuance to our understanding and ultimately leading to the best business outcomes.

The Company

At Switcher, we believe in the power of video. We believe in its unparalleled ability to reach and connect people, and we believe that video – like life – is more captivating and rewarding when shared in the moment and through multiple perspectives. We aim to bring people together to create and consume video content that matters. Founded in 2014, Switcher enables creators and companies of all sizes to produce, edit, and publish stunning video content with devices they already own. Now serving users in over 118 countries, our distributed teams in Louisville, Kentucky and Yverdon-les-Bains, Switzerland are pioneering eCommerce video, helping content creators amplify their stories through video.

Build for Everyone - We're All In

Switcher, Inc. is proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce. Switcher, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Switcher, Inc. complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.