Join us in our brand new 8500 sqft innovation center in Austin, where we focus on solving our customers' greatest unmet needs with disruptive solutions to enable our customers to deliver the best patient outcomes.

We are seeking a talented and motivated Machine Learning and Artificial Intelligence Engineer to join our team. This engineer will primarily focus on artificial intelligence systems for robotic systems and other applications for customer solutions. Experience in robotic controls is a bonus.

Key Responsibilities:

• Develop and implement Artificial Intelligence Solutions for customer Problems
• Collaborate with cross-functional teams from product, engineering, services, sales and other key stakeholders to rapidly prototype solutions.
• Work in a lean startup environment, starting with problems to be solved and hacking together prototypes for customer validation.
• Engage with customers to gather feedback and iterate on solutions.
• Push the envelope in engineering solutions, with a focus on disruptive and innovative approaches.

Required Skills:

• Bachelor's degree in Engineering, Computer Science, or a related field with a focus on Artificial Intelligence
• 3+ years of experience in AI/ML engineering with demonstrated proficiency in languages such as Python and C++.
• 2+ Years of experience in ML Lifecycle.

Preferred Skills:

• Proficiency in programming languages such as Python, C++, and bonus points for ROS 2.
• Understanding of machine learning techniques and their application in robotics.
• Understanding of GPU selection and use.
• Advanced experience with Python, Databricks, R, and other ML libraries and frameworks such as TensorFlow or PyTorch
• Proficiency with cloud platforms (Azure, AWS, GCP) and ML deployment services, such as Azure ML, Vertex AI, or AWS SageMaker. Airflow or MLflow experience is a plus.
• Strong understanding of full-stack development including Api development and containerization.
• Deep familiarity with machine learning and generative AI methodologies, with knowledge of platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or OpenAI AP
• Proficiency in both front-end and back-end tools and libraries (e.g., React, Angular, D3.js, Node.js) for building tools that support SRE and Operations oriented teams
• Understanding of databases and ETl pipelines. Vector DB experience is a plus.
• Demonstrated ability to work in a fast-paced, startup-like environment.
• Extra points for attempting to build something revolutionary that failed and learning from the experience. 
• Proven track record of developing disruptive solutions in an entrepreneurial setting.
• Experience in healthcare is a bonus.