Machine Learning Engineer

Full Time
GTA, Toronto
Posted 2 weeks ago

Who we are:
Future Fertility is an innovative Medical AI company focusing on reproductive medicine based in Toronto, Canada. We are applying machine learning in the IVF clinic to improve diagnostics and optimize outcomes. Using our patented AI model, the “Violet”, we are able to analyze the quality of a woman’s egg based on a single image. “Violet” is already proving to be an essential diagnostic and predictive tool for both women undergoing social egg freezing and IVF procedure.

We continue to invest in developing further solutions to deliver on our goal for radically improved levels of insight for patients and clinicians by using artificial intelligence, and in so doing, substantially improve the experience and outcomes.

Who we are looking for:

An experienced Machine Learning Engineer to develop our next-generation image classification tool, using machine learning and computer vision techniques. You will be implementing algorithms by fast prototyping, converting them to production models and working with the development team to deploy the solution. This position requires excellent skills with Python and its machine learning and image processing libraries.

Working knowledge of Web development is a bonus.

What you’ll do:

  • Take ownership of the machine learning project from start to finish, which includes building data pipelines, designing, deploying & maintaining production quality ML models in collaboration with data scientists.
  • Data Acquisition, Cleaning, and Transformation in order to prepare training datasets.
  • Build, train, and evaluate image classification and segmentation models using different architectures and tools.
  • Benchmark, analyze and improve performance of existing algorithms, pre-processing and data augmentation strategies.
  • Turning prototyped computer vision algorithms into high performance product ready code.
  • Serve deep learning based computer vision models using the latest serving technologies.
  • Providing support to the dev team on integrating ML systems with our software stack.
  • Participate in sprint planning, estimation and reviews and take ownership of deliverables
  • Document all machine learning processes and findings in an organized manner

Qualification:

  • Bachelor or Master in Computer Science, Computer Engineering, Machine Learning, Statistics or Mathematics.
  • 5+ years of experience in software development and data manipulation; Expertise writing code in Python
  • 2+ years of experience in building and implementing production scale Machine Learning models in professional working environment
  • Extensive experience in PyTorch deep learning framework
  • Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, Random Forest, boosting, XGBM, k-NN, Naive Bayes, Decision Trees, SVM, etc.
  • Good theoretical as well as practical knowledge of deep learning architectures such as LSTM, RNN and CNN and Transformer based models
  • Algorithm and model development experience for large-scale applications.
  • Experience running accuracy experiments and systematically improving performance.
  • Familiarity with scientific computing libraries such as numpy, pandas, scikit and image processing libraries such as OpenCV and scikit-image.
  • Solid understanding and practical experience of containerizing Deep Learning models for deployment purposes in a scalable manner.
  • Experience with SQL and NoSQL databases and ETL tools.
  • Familiarity with Git.
  • Strong cross-team communication and collaboration skills. Comfortable being part of a small team of engineers working in an energetic fast paced start-up environment and effective as part of a distributed team.
  • Excellent written and verbal communication skills.
  • Attention to detail, data accuracy and quality of output.

Bonus points for:

  • Experience in image processing
  • Prior experience in applying image enhancement and segmentation on medical images and using image processing libraries
  • Have prior experience of MLOps such as MLFlow
  • Background in Life Science
  • Experience in privacy preserving or federated machine learning
  • Research publications in ML/AI-related fields

Job Features

Job CategoryMachine Learning, Software Engineering
Please attach your resumePDF or DOC up to 5Mbps
ML Experience3-5 years

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