Engineering - Software (Information & Communication Technology)
Full time
BrainEye turns every mobile device into a tool that allows you to efficiently measure your brain health, assisting with early screening of devastating brain diseases at an enormous population scale.
Brain health conditions affect millions every year, leaving many people unable to live their life to their fullest potential. BrainEye has developed an innovative and scientifically validated mobile-based eye-tracking platform to measure ocular biomarkers that assess changes in brain function, accessible on the user's smartphone for everyone, anywhere, in less than 60 seconds.
Advances in smartphone technology, coupled with BrainEye's advanced algorithms and AI, allow for these eye measurements to be quantified accurately and consistently and get an understanding of brain function such as after a sports field concussion, or when assessing for drug use, stroke, Parkinson's and many more.
As we are growing fast, we need you to help BrainEye disrupt the brain health market and save lives!
Position Overview:As the Senior ML Scientist, you will be one of the lead AI innovators at BrainEye. You will deep dive into our models and systems, challenge and optimise our AI pipeline, and continuously strive to make it more accurate, robust, and with better utility. You'll solve complex AI problems, experiment with the latest technologies, and ensure the integration of these solutions across teams, pushing the boundaries of mobile-based computer vision and brain health technology.
Key Responsibilities:Research and Development:Stay current with the latest advancements in computer vision and machine learning techniques, especially as they relate to image processing.Challenge our mobile core, measure model performance, find areas of weakness, and strive to improve them.Challenge our AI eye and pupil detection models, understand our limitations and edge cases, experiment with the latest AI technology and supply POCs to our engineers that will make improvements.Technical Expertise:Lead efforts to train and deploy machine learning models at scale, creating robust AI solutions that perform effectively in real-world scenarios.Act as the technical authority in the field of BrainEye core image processing, machine learning, and deep learning technologies; providing guidance and expertise to the team.Optimise image annotation processes, defining efficient workflows to enhance data quality and model performance.Review and contribute to research papers, patents, and publications.Fast learning curve in integrating with new technologies.Quality and Performance:Ensure the quality and performance of eye detection algorithms through rigorous testing, validation, and optimization.Implement best practices for data collection, annotation, and pre-processing to support research efforts.Follow BrainEye's Quality Management System (QMS) procedures to ensure compliance, quality assurance, and consistency in all AI development and deployment processes.Teamwork, Culture and Leadership:Own and lead complicated AI/ML projects from experimentation to production, planning the project in detail and guiding small teams of scientists and engineers.Collaborate effectively and communicate clearly with an international team of scientists and engineers.Guide, mentor and inspire researchers and engineers focused on R&D and problem-solving.Participate in and foster a collaborative and innovative research environment.Willingness to work on a flexible schedule to meet with international teams in Israel and Australia.QualificationsStrong background in AI, image processing, machine learning and deep learning in end-user products (minimum 5 years of industry experience in developing and deploying ML solutions is a must have).Experience managing the MLOps data and annotation pipelines and working closely with annotation service provider companies to ensure high-quality data that meets project standards.Track record of leading and managing R&D teams in the field of computer vision and machine learning (minimum 1 year of management experience).Ph.D. or Master's degree in Computer Science, Machine Learning, Computer Vision, or a related field.Demonstrate strong communication skills and the ability to collaborate effectively with cross-functional teams.Proficiency in programming languages including Python, C++, TensorFlow, and PyTorch.Experience in a health tech related company with knowledge of quality management systems.Experience with computer vision in mobile apps.Excellent problem-solving skills and a passion for pushing the boundaries of AI technology.Publications in reputable conferences or journals in computer vision and machine learning are a plus.What we can offerWe are passionate about making a positive difference to brain health around the world.We are a growing company where our direction may pivot, new problems to solve arise, and we are constantly learning.The opportunity to benefit from the continued success of the company with competitive remuneration options.A supportive team environment where we work with you to learn, grow, achieve success and advance your career.A flexible work location to work from home or office as desired. #J-18808-Ljbffr