Principal Applied Researcher (AI/NLP)

TL;DR

Principal Applied Researcher (AI/NLP): Applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions for healthcare SaaS platform with an accent on summarization, predictive models, recommenders, semantic search, extraction, classification. Focus on designing, building, evaluating solutions with structured/unstructured data including speech, fine-tuning LLMs and transformers, performing R&D, data engineering, and deploying at scale in cloud environments.

Location: Remote (USA), with required travel to Mississauga and/or Salt Lake City offices for onboarding, team events, semi-annual and annual meetings.

Salary: $195,800 - $217,500 a year + bonus + equity + benefits

Company

Leading health tech company with the largest long-term and post-acute care dataset, serving over 30,000 provider organizations via SaaS platform and 400+ integrated partners.

What you will do

• Apply NLP, GenAI, and AI/ML techniques to develop, scale, and integrate solutions into large-scale cloud-based SaaS production environments for healthcare.
• Collaborate with product leaders, clinical informaticists, data scientists, UI/UX teams, engineers, domain experts, customers, and healthcare professionals.
• Design, build, and evaluate solutions involving structured/unstructured data, speech, or natural language for use cases like summarization, prediction, recommendation, semantic search, extraction, classification.
• Perform research, experimentation, data collection/cleaning/analysis, algorithm selection/design, prompt/parameter tuning, training, and evaluation of responsible AI systems.
• Mentor on advanced AI, NLP, data science, statistical, and ML methods; develop new capabilities and tools.
• Work independently with substantial responsibility from day one on big data processing, cloud infrastructure, and model deployment.

Requirements

• PhD or equivalent in Computer Science, Math, Physics, Engineering or related field.
• 4-10+ years industry experience in commercial SaaS, including 4+ years in NLP, Search, or AI/ML for healthcare.
• Expert hands-on experience in NLP techniques including fine-tuning LLMs and transformers, plus other AI/ML areas; research, experimentation, feature selection, model building/evaluation.
• Experience building/deploying AI/ML/NLP models at scale for SaaS, with software dev concepts (scaling, version control, CI/CD, security).
• Proficiency in Python and Java (required), SQL, data engineering; modern stacks (NumPy, SciPy, Pandas, Scikit-learn, PyTorch, Keras, LightGBM, fastText, NLTK, spaCy, Hugging Face Transformers).
• Experience with big data (Azure Data Lake, Spark), public clouds (Azure, AWS, Google Cloud); strong problem-solving, communication, collaboration on distributed teams.

Nice to have

• Proficiency in JavaScript/TypeScript and modern UI frameworks for prototypes.
• Experience with logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning.

Culture & Benefits

• Benefits from Day 1: retirement plan matching, flexible PTO, wellness programs, parental/caregiver leaves, fertility/adoption support.
• Continuous development support, employee assistance program, allyship/inclusion communities, employee recognition.
• Flexibility, growth opportunities, meaningful work; AI integrated into workflows for creativity and productivity; invests heavily in R&D.
• Recognized by Forbes and as one of Canada’s Most Admired Corporate Cultures.