Remote Senior Software Engineer (Computer Vision)

Our Mission:

ButterflyMX is on a mission to empower people to open and manage doors & gates from a smartphone. Our products are installed in more than 20,000+ multifamily, commercial, gated communities, and student-housing properties worldwide, including properties developed, owned, and managed by the most trusted names in real estate. Our features are designed for developers, owners, property managers, and tenants and our products lower operating costs and improve tenant satisfaction.

Our Solution:

Developers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access, revoke permissions, and review entry logs from an online dashboard. Residents can open doors from their smartphones, issue visitor access, and see who is trying to enter the building.

Our Culture & Values:

Fantastic people are the key to our success. As a distributed, primarily remote workforce, we’re looking for more intelligent, passionate, collaborative, ai-forward, and down-to-earth individuals to join our growing team. We’re driven by a shared commitment to excellence and innovation, grounded in our core values: We delight our customers, We take ownership, We are a community of collaborators, We speak up, We think big and do small, and We are tenacious.

Role Overview:

ButterflyMX is seeking a Senior Full Stack Computer Vision Engineer to join our engineering team! This role is ideal for a hands-on generalist who combines strong full stack development skills with a genuine passion for machine learning. The ideal candidate has real-world experience training and fine-tuning models, can point to tangible projects demonstrating their ML work, and thrives when building end-to-end solutions—from data pipelines to deployed features. You'll work across the stack to integrate intelligent capabilities into our access control products, collaborating closely with cross-functional teams to deliver impactful solutions.

This role offers the opportunity to shape how machine learning is applied across ButterflyMX's products in a fast-paced, collaborative environment. If you're a builder at heart with a passion for ML and a track record of shipping real solutions, we'd love to hear from you!

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.

Requirements:

• 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.

Preferred Qualifications:

• 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) starting day 1

• 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

• And more!

ButterflyMX is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. You must have the authorization to work in the US to become an employee. We strive to create an accessible and inclusive experience for all candidates and employees. If you need reasonable accommodations during the application or the recruiting process, please let our recruiting team know.