Machine Learning Engineer, Wisedocs

• Minimum of 2 years of experience in software development, with a strong focus on Python programming
• Ability to think through problems end to end, including data, infrastructure, research, monitoring and inference considerations
• Possess professional working experience with LLMs, RAG, BERT based models
• A track record of developing high-quality, maintainable code
• Prior experience with transfer learning and finetuning
• Excellent problem-solving skills in an independent and team setting
• Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space

• Join Wisedocs as a Machine Learning Engineer, where you’ll play an important part in next generation of our medical document analysis platform
• This role is ideal for someone who wants to build models end to end, from data processing, to paper reading to iterating once in production
• You’ll be building models with real-time inference in mind, implement MLOps best practices, focusing on a combination of MultiModal LLM and encoder-based work
• Scale our inference and training pipelines to finetune and serve higher volumes of customers
• Build with a customer focus in mind
• Improve extraction and summarization techniques across multiple modalities
• Collaborate with other senior engineers to integrate the ML system into the broader Wisedocs platform
• Designing and implementing machine learning models to analyse and interpret large datasets of medical and insurance documents
• Developing robust, scalable APIs in Python
• Collaborating with other technical stakeholders and leaders to actively work towards the design and implementation of systems
• Ensuring the reliability and scalability of ML systems, implementing best practices in data engineering and model lifecycle management
• Work with our human in the loop teams to build industry leading evaluations
• Other duties and responsibilities will be assigned as projects develop, adjust and mature
• We currently have three types of ML systems running in production, an entity classification system, a Custom Reports Generator and a set of Summarization models. Our entity classification has been in production for 4 years and currently processes data asynchronously with a combination of models

• Round #1 – HR (Quick Prescreen)
• Duration: 20-30 minutes
• Focus: High level Get-to-Know-You, Culture fit, High level technical expertise and tech stack
• Round #2 - Technical
• Duration: 1 hour
• Focus: System design and conceptual
• Round #3 - Technical
• Duration: 1-1.5 hours
• Focus: General Coding
• Round #4 - Hiring Manager
• Focus: Culture fit, experience, high level technical questions

• Healthcare: 100% company paid healthcare benefits. Benefits across health, dental, vision, and extended services plus sick days
• Vacation: Generous paid time off for all employees to ensure you can step back and avoid burnout and stress
• Remote-First: A flexible remote-first work environment with a large office space in the heart of downtown Toronto to use as you see fit
• Stock Options: We offer you stock options so your investment in your career will pay off
• Referral Bonus: We reward those who refer great team members our way. Get a referral bonus for successful onboarding
• Events: Gather regularly for fun activities as a team completely sponsored by Wisedocs

Total funding: $19.5m

Wisedocs was born out of frustration with one of the healthcare administration's most cumbersome tasks: medical record management. Its automated processing software tackles this head-on, aiming to contribute to better overall healthcare by freeing up valuable manpower and time currently spent on paperwork.