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.
Nice to Have
- 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
Work Arrangement
Hybrid
