Senior Software Engineer, Computer Vision
Job Description:
• 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.
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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• 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.
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!
Apply tot his job
Apply To this Job