Location: US (Remote)
As a Senior Applied Researcher – Machine Learning within the PointClickCare Advanced Technology team, you will work with customers, product leaders, subject matter experts, other highly experienced applied researchers, engineers, or others on cutting-edge research and development projects to address the needs of users in the acute, post-acute, long term and cross-continuum care space to truly transform healthcare.
Examples of typical project areas and responsibilities include end to end responsibilities for developing, improving, and validating new machine learning models, working with other researchers to improve and validate the performance of machine learning models, and working with engineers on infrastructure to support the automated deployment and management of models or incorporating models into large scale commercial SaaS products. This role will involve hands-on work in one or more applied machine learning technology areas such as machine learning, deep learning, Natural Language Processing including Large Language Models and other Transformer models, or other advanced technologies. Relevant industry experience and Python skills are required.
Responsibilities:
· Perform research, experimentation, and related engineering to design, build and evaluate machine learning and NLP-based models to be deployed into production environments,
· Tasks may include (for example) data collection, data cleaning, data analysis, model training, development, and evaluation, and scaling up the system.
Required Experience:
· Master’s degree or equivalent experience in Computer Science, Math, Physics, Engineering or a related field and experience with advanced mathematics or statistical methods applicable to machine learning and NLP
· Proven industry experience, through multiple major product releases
· Proficiency in Python
· Experience doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL.
· Exposure to building models from big data using modern machine learning and NLP packages and data analysis stacks such as NumPy, SciPy, Scikit-learn, Pandas, Keras, Tensorflow, PyTorch, CNTK or NLTK, and experience such as fine tuning LLMs or other Transformer based models
· Curious problem finder and problem solver, able to think both creatively and methodically.
· Strong interest in applying machine learning and NLP to healthcare-related problems and data.
· Works well with others and independently and comfortable working on a distributed team
Helpful Experience:
· Experience working with large data sets using big data processing frameworks (e.g. Azure Data Lake, HDFS/Hadoop, Spark or other cluster computing/MapReduce frameworks) and/or public cloud infrastructure (Azure, AWS, Google Cloud) for building, evaluating, or deploying machine learning and NLP models, including experience with end to end SaaS-scale ML/NLP pipelines, is a plus.
