AddressMachine Learning Engineer
Who we are
Brain health conditions affect millions every year, leaving many people unable to live their life to its fullest potential. BrainEye has developed a proprietary eye-tracking platform using a smartphone to measure ocular biomarkers that assess changes in brain function.
It has been known for decades that testing eye movements and reflexes are an available way to get an understanding of brain function, for example, after a sports field concussion, or when assessing for drug use, stroke, parkinsons and many more. Eye testing is a standard part of most neurological examinations.
Advances in smartphone technology, coupled with BrainEye’s sophisticated algorithms, allows for these eye measurements to be quantified accurately and consistently, in clinic or at home. The science is here, BrainEye needs your help to bring this vision into reality.
Who you are
You are a Machine Learning Engineer focused on Computer Vision who will ensure the quality and effectiveness of our ML solutions. You'll leverage your expertise in Machine Learning and AWS cloud platform to build robust ML data pipelines, train and evaluate ML models for eye-tracking tasks.
- Develop, automate, and maintain Machine Learning pipelines to ensure efficient data processing and model training
- Oversee annotation tasks and review annotated images to identify and address any errors or inconsistencies and increase annotation volume
- Train, evaluate, and optimise new Machine Learning models and improve existing models to achieve the desired performance metrics for computer vision tasks
- Collaborate with data scientists, software and cloud engineers, and product managers to bring Machine Learning solutions using computer vision to production in an agile development environment
- Stay up-to-date on the latest advancements in deep learning frameworks, and Machine Learning tools
What you bring
- Minimum Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
- Two years experience setting up CI/CD pipelines on AWS to manage the life cycle of ML models
- Two years experience in evaluating, and deploying Machine Learning models with a focus on computer vision
- Proficiency in C++ and Python and experience with computer vision libraries (e.g., OpenCV)
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
- Ability to collaboratively work with the world-class professionals at BrainEye to take advantage of everyone’s unique strengths
- A passion for innovation and excitement for shaping the future of eye-tracking technology
Bonus points for
- Experience with building high-performance Machine Learning models for computer vision applications (e.g., regression, object detection, image segmentation)
- Experience with building deep learning models to be run on edge devices (phones, wearables, etc.)
- Experience with healthcare focused AI products
- Familiarity with eye-tracking technology
What we can offer
- We 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.
- The opportunity to gain first-hand experience working in a Medical Device Quality Management System, a widely transferable skill to any regulated industry.
- The experience of bringing a State of the Art Software as a Medical Device to market.
- A supportive team environment where we work with you to learn, grow, achieve success and advance your career.
Location
Melbourne, Sydney
If you're passionate about the idea of joining BrainEye and are eager to learn and grow, we encourage you to apply, even if you don't meet every requirement listed in the job description. Your enthusiasm and potential are highly valued here!
If this sounds like you, please apply with a CV and well-written cover letter. Please also tell us your visa status.
