Sr Software Engineer- ML

Intuitive • Sunnyvale, CA

339d • $192,700 - $277,300 • Onsite

About The Position

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Requirements

• Minimum Bachelor's or Master's degree in computer science, electrical and computer engineering, or related fields.
• Minimum (5) years of industry experience in production software development, with a focus on AI/ML.
• Proficiency in back-end languages: Python, C++, Shell, Java, Node.js, Ruby, or equivalent.
• Experience with relational (e.g., MySQL) and NoSQL (e.g., MongoDB) databases.
• Familiarity with AI/ML tools (e.g., PyTorch, Numpy, SciPy, OpenCV, Pandas, scikit-learn).
• Experience with containerization (e.g., Docker).
• Knowledge of computer networks: security and protocols (e.g., TCP/IP, HTTP, SSH).
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with DevOps practices (e.g., CI/CD, monitoring).
• Experience with API design (RESTful, GraphQL).
• Experience with Agile development methodologies.
• Knowledge of signal processing algorithms and filtering techniques.
• Knowledge of cyber-security requirements for data in healthcare applications.

Nice To Haves

• Experience with MLOps best practices and ML product lifecycle.
• Experience with AI/ML workflow management tools (e.g., Kubeflow, MLflow).
• Experience with GPU accelerated algorithms and implementations.
• Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Knowledge of computer vision and natural language processing concepts and algorithms (supervised, unsupervised, self-supervised, reinforcement learning).
• Knowledge of model optimization methods (e.g., quantization, pruning, knowledge distillation).
• Knowledge of classical data science algorithms (e.g., regression, classical Machine Learning algorithms).

Responsibilities

• Develop, maintain, and test production software for ML Pipelines.
• Develop, maintain, and test production software for Data Pipelines throughout the lifecycle (collection, processing, annotation, storage, and mining).
• Develop, maintain, and test production software for multi-modal (vision, audio, robotics, etc.) data collection.
• Provide technical support to internal users and external partners.

Benefits

• Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Miscellaneous Manufacturing
• Education Level: Bachelor's degree