Senior Machine Learning Engineer

Clinicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements, often aggravated by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the "great resignation of healthcare".

Tali AI, one of the fastest growing AI companies in Canada, is dedicated to tackling the issue of physician burnout through the development of the leading AI Scribe for accurate clinical notes and documentation, designed specifically for Clinicians. By combining AI Scribe, which effortlessly captures and summarizes patient visits, Medical Dictation for accurate voice-to-text processing, and Medical Search for efficient information retrieval, we are helping thousands of clinicians reduce documentation time by over 30%, allowing them to focus more on patient care.

• You have an educational background in Computer Science, Engineering, or a related field with a focus on machine learning, NLP, ASR, or equivalent practical experience.
• You have at least 8 years of professional experience in machine learning engineering, with a strong emphasis on NLP and ASR.
• You possess a strong proficiency in programming languages such as Python, Java, or C++ for implementing machine learning algorithms and building scalable systems.
• You have a deep understanding of NLP techniques including text classification, named entity recognition, sentiment analysis, and machine translation.
• You have a solid grasp of ASR concepts such as acoustic modelling, language modelling, and speech signal processing.
• You're a strong problem solver with the ability to think creatively to overcome the various challenges you encounter in machine learning.
• You're an excellent communicator and collaborator who thrives in a team environment.

• Lead the design, development, and implementation of state-of-the-art machine learning models and algorithms for NLP and ASR applications.
• Conduct research and stay up-to-date with the latest advancements in NLP and ASR to continuously enhance our technology stack.
• Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate machine learning solutions into our products and services.
• Analyze and preprocess large volumes of text and speech data to extract meaningful insights and features for model training.
• Optimize model performance and scalability to meet stringent latency and throughput requirements.
• Conduct thorough experimentation and evaluation to assess the performance of NLP and ASR models and identify areas for improvement.
• Provide mentorship and guidance to junior members of the machine learning team, fostering a culture of continuous learning and innovation.

• Selected candidates will be contacted for an initial 30-minute interview
• Team Interview (45 min)
• Take Home Assessment
• Hiring Manager Interview (30 min)
• Decision Stage

Perks and Benefits:

• Fully remote work & flexible work hours
• Half day Fridays (35-hour work week)
• Comprehensive health and wellness benefits from day one
• Competitive vacation and company-wide holiday between Dec 25 - Jan 1
• Learning & development support
• Quarterly socials & company outings

Working at Tali:

Our core values:

• Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day.
• Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously.
• Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge.

We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact the Human Resources team at people@tali.ai.