About The Position

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!

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.

Nice To Haves

  • 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.

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.

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!
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