Carfax Looking for Associate Machine Learning Engineer at London, ON Full Time

Join team CARFAX as a Machine Learning Engineer

Isn’t it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. One last thing: Our four-day week continues in Summer 2023!

As a Machine Learning Engineer, you will work collaboratively on a team of engineers and data scientists to design, build and scale our ambitious machine learning and natural language processing solutions. Leveraging the latest techniques and tools, this unique opportunity will aim to unlock the hidden potential in billions of records and enrich the quality of data provided by our automotive reporting products delivered daily to consumers across the globe.

This role has an expectation of 3 days in the office per week, subject to change based on future business needs.

What you’ll be doing:

• Participate in the design and development of our deep learning, ML and NLP solutions
• Create innovative techniques of processing natural language, extracting the value-add data, and integrating this into our existing systems
• Understand NLP concepts like: Named Entity Recognition (NER), Sentiment Analysis, Data Tokenization, Lexical Semantics, Relationship Extraction, etc.
• Understand ML fundamentals: loss functions, classification and regression models, feature engineering, hyperparameter optimization, and model validation
• Contribute knowledge and assistance to teams engaged in machine learning activities
• Leverage existing ML libraries and services when they exist (i.e. don’t reinvent the wheel)
• Develop machine learning algorithms to help drive our natural language processing solutions
• Constantly learn from and educate others to improve yourself and CARFAX

What we’re looking for:

• Master’s or Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Information Theory, (or related field of study)
• Demonstrated professional experience in at least one area of machine learning (deep learning, NLP, computer vision, etc.)
• Experience building algorithms and solutions based on machine learning or deep learning.
• Understanding of common software engineering skills and practices (version control, build pipelines, etc.).
• Good communication skills; team player.

You will also need established experience in and/or knowledge of:

• Machine learning frameworks: TensorFlow, Torch, Caffe, or Theano.
• Natural Language Processing libraries: NLTK, spaCY or scikit-learn
• Proficient with Python, Java or .NET.
• Cloud computing environments and ML/NLP related cloud services from Azure, AWS or GCP
• Data visualization techniques
• Oracle, MySQL, PostgreSQL or MongoDB
• Hadoop/AWS EMR, Apache Spark
• Git version control

What’s in it for you:

• Competitive compensation, benefits and generous time-off policies
• 4-Day summer work weeks and a winter holiday break
• 401(k) / RRSP matching
• Annual bonus program
• Casual, dog-friendly, and innovative office spaces

Don’t just take our word for it:

• 10X Virginia Business Best Places to Work
• 9X Washingtonian Great Places to Work
• 9X Washington Post Top Workplace
• Louis Post-Dispatch Best Places to Work