Note: The job is a remote job and is open to candidates in USA. ButterflyMX is on a mission to empower people to open and manage doors & gates from a smartphone. They are seeking a Senior Full Stack Computer Vision Engineer to join their engineering team, focusing on integrating machine learning capabilities into their access control products.
Responsibilities
• Design, train, and deploy machine learning models that enhance ButterflyMX products and user experiences
• Build and maintain full stack applications and services that integrate ML capabilities into production systems
• Develop and optimize data pipelines for model training, evaluation, and inference
• Fine-tune existing models and adapt them to ButterflyMX-specific use cases and constraints
• Collaborate with product management and engineering teams to identify opportunities where ML can solve real customer problems
• Evaluate and implement appropriate ML approaches, balancing model performance with practical deployment considerations
• Contribute to backend and frontend development as needed, ensuring seamless integration of ML features
• Stay current with ML research and techniques, bringing relevant innovations to the team
• Participate in code reviews, architectural discussions, and an agile development environment
Skills
• Strong proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
• Demonstrated experience training machine learning models from scratch or fine-tuning existing models—must be able to point to specific projects (professional work or personal/open-source projects) as proof
• Solid full stack development experience, including backend services and APIs
• Hands-on experience with the complete ML lifecycle: data preparation, model training, evaluation, and deployment
• Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments
• Strong understanding of software engineering best practices, including version control, testing, and code review
• Ability to work as a generalist, comfortable moving across the stack and tackling varied technical challenges
• A genuine passion for machine learning, evidenced by personal projects, research exploration, or community involvement
• Experience with computer vision applications and image/video processing
• Familiarity with edge deployment and optimizing models for resource-constrained environments
• Experience with MLOps tools and practices for model versioning, monitoring, and retraining
• Ability to read, understand, and discuss ML research papers
• Background in IoT, embedded systems, or real-time applications
• Contributions to open-source ML projects or a portfolio of personal ML projects
• Experience with REST and GraphQL architectures for integrating ML services into applications
Benefits
• Comprehensive Medical, Dental and Vision plans (ButterflyMX covers 80% of the cost)
• 401(k) plan with a match
• 10 paid holidays
• 20 vacation days
• 5 sick days
• 3 floating holidays
• Basic Life and Accidental Death and Dismemberment Insurance (ButterflyMX covers 100% of the cost)
• Short and Long Term Disability (ButterflyMX covers 100% of the cost)
• Paid Family Leave
• Employee Assistance Program
• Quarterly self-care stipends
• Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&D, Hospital Indemnity, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance
Company Overview
• ButterflyMX develops property access solutions including video intercom systems and keypads that users can manage from a smartphone. It was founded in 2014, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is https://www.butterflymx.com.