Superior Dental Diagnosis and Treatment with AI
Machine Learning Engineer Position$50k – $100k • 0.0% – 1.0%
About this Job
Kells develops AI-powered products and services to improve how dental care is being conducted and delivered. We are looking for talented machine learning engineers to bring our core technology platform to the next level. This includes creating large scale datasets with high quality annotations, building models for object detection and segmentation with high accuracy, model compression and optimization, human-in-the-loop learning and more. You will work with experts in the field to design, experiment and deploy machine learning systems, present your work in public venues, and gain end-to-end experience to put machine learning into a product.
- Master or Ph.D in computer vision, machine learning, data science and AI related fields.
- Avid problem solver, active learner and good communicator.
- Publications in AI conferences or journals is big plus (e.g. CVPR, ICCV, ICLR, NIPS)
- Solid programming skill using Python and scientific computing libraries.
- Able to demonstrate working experience in building and deploying machine learning models using libraries like PyTorch or Tensorflow/keras.
- Experience building ML models for production usage
- Knowledge of using cloud platforms like AWS for running jobs.
- Experience in working with medical images is a plus.
This position offers a full-time employment opportunity with compensation commensurate with applicant’s experience. In addition to extensive technical experience, you will have exposure to the other parts of an early-stage startup including product and business development. If you are excited to apply your machine learning skills to build real-world products, please send your resume (github account if available) to email@example.com.
KELLS at a glance
KELLS focuses on Dental Educational Software, Dental, Dental Professionals , and Dental Practices. Their company has offices in New York City. They have a small team that's between 1-10 employees.
You can view their website at https://getkells.com/