Senior Staff Research Scientist, Computer Vision and Generative AI
Hybrid
Full Time
#Engineering
#Computer Vision
#Artificial Intelligence
#Deep Learning
#AI
#Data
#Video
#Deployment
#Cross Functional Collaboration
#Machine Learning
We are looking for a Senior Staff Research Scientist to join our team in a full-time, hybrid capacity. At Voxel, our mission is to protect the essential workers who power our world by revolutionizing industrial safety. We utilize groundbreaking, full-stack AI and computer vision technology to help Fortune 500 companies in retail, manufacturing, and logistics identify unseen risks and prevent workplace incidents before they occur. Backed by industry-leading venture capitalists, we are growing our global team and looking for someone passionate about solving complex, real-world problems through innovation.
Responsibilities
- Lead the invention and implementation of state-of-the-art computer vision and generative AI algorithms while staying current with the latest advancements in deep learning and visual reasoning.
- Design and maintain scalable, real-time systems capable of processing video feeds from thousands of cameras 24/7 to extract actionable safety insights.
- Collaborate across teams, including software engineering and ML operations, to transition research findings into production and optimize model deployment at scale.
Requirements
To be successful in this role, you should possess a strong technical background and a proven track record of shipping research-based products.
- Education: A Bachelor’s degree with 5 years of experience, a Master’s degree with 3 years of experience, or a PhD in Computer Vision, Machine Learning, or a related field.
- Technical Expertise: Demonstrated experience building and deploying deep learning models for large-scale video analysis and a familiarity with generative AI techniques.
- Practical Experience: A history of working with massive video datasets and successfully translating complex machine learning research into real-world applications.
- Communication: Strong verbal and written skills, with the ability to lead cross-functional discussions and explain technical concepts to various stakeholders.
- Preferred Skills: Experience with multi-modal architectures, Visual Language models, and video-focused neural networks for activity recognition or spatiotemporal understanding is highly valued.
What we offer
We are committed to supporting our team members both personally and professionally. Our benefits package includes:
- Comprehensive medical, dental, and vision insurance.
- Generous maternity and paternity leave programs.
- Equity compensation to ensure you have a stake in our collective success.
- Flexible work arrangements and paid time off.
- A 401k retirement plan and commuter benefits.
- Regular company retreats and team-building events.
