Sr. Software Engineer (Computer Vision)
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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. • 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