Staff Machine Learning Scientist
We are seeking hands-on candidates who will be deep in code and are technically strong in building scalable ML framework for online / offline learning, state-estimation, prediction systems and continuous model optimization! The pipeline developed will be utilized in generating :
Surgical profiles models and relevant clinical perturbed states used for advance procedure development and product optimization.
Metrics for prediction surgery success and failure likelihood based on system state(s) and procedure deviation.
Automated failure node exploration and corresponding root-cause to system variables.
Estimation and prediction of system performance indicators with respect to nominal. Prior experience in medical device development is not required.
What You’ll Do :
Build / scale a machine learning framework. Integrate machine learning libraries and operational frameworks into an end-to-end environment for data modeling, functional space exploration, and guidance systems.
Build an ML pipeline to support development, experimentation, continuous integration, continuous delivery, verification / validation, and monitoring of AI / ML models
Collaborate with CE / RC / SI teams to improve the analysis efficacy and deliver actionable intelligence to improve procedure development and procedure adoption.
Continuously evaluate the latest packages and frameworks. Create documentation and best practices to share with the AI / ML community
Meet the Team :
Robotics and Digital Solutions is a group within Johnson and Johnson shaping the future of medical intervention! Our new future will involve machine learning, robotic surgery, instrumentation, advanced visualization, and data analytics.
Our platform technology targets to improved patient outcomes, enhanced access and integration for surgeons and staff, and greater hospital efficiency.
Data and Systems Analysis (DSA) is a multi-disciplinary team of system engineers, data scientists, and machine learning specialists that are dedicated to developing fundamental product-facing and system-supporting architectures and tools for gaining crucial significant intelligence towards improving the surgeon experience, product adoption, and over-all robotics architecture while connecting it to the hardware design.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
Please contact us to request accommodation.
What We’re Looking For :
Master or PhD Degree in, Computer Science, Machine Learning, Robotics, or a related field with at least 2-3 year of relevant experience is required.
Proven Python and C++ programming skills and software engineering practice.
Proven experience with AWS, PyTorch, TensorFlow, Keras, Caffe etc.
Solid understanding of machine learning algorithms such as Random Forest, SVM, neural networks, Auto-Encoders etc.
Solid understanding of graph algorithms, distributed systems, and numerical optimization. Knowledge in controls of non-parametric estimation is a plus.
Knowledge preferred of statistical software packages (e.g., Minitab), with the ability to preview, graph and analyze data and be able to present data that facilitates / drives decision making.
Strong communication, collaboration, and problem-solving skills is required. Experience leading small team of 2-3 people will be a major plus.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.