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Location

London, ON | Canada

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Job description

Description

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 2024!

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 2 days in the London, ON office per week, subject to change based on future business needs.

What you will be doing:  

• Participate in the design and development of our NLP solutions with a focus on Transformer-based models such as those available through Hugging Face

• Create innovative techniques of processing natural language, extracting valuable data, and integrating this into our existing systems  

• Utilize cloud infrastructure for deploying and scaling NLP solutions

• Leverage existing ML libraries and services when they exist (i.e. don't reinvent the wheel)  

• Understand ML fundamentals: regression models, feature engineering, hyperparameter optimization, model fine-tuning and validation

• Contribute knowledge and assistance to teams engaged in machine learning activities  

• 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, Statistics, (or related field of study)

• 2+ years of professional experience in at least one area of machine learning (deep learning, NLP, computer vision, etc.)  

• Experience building algorithms and solutions using ML  

• Understanding of common software engineering skills and practices (Git version control, build pipelines, etc.)  

• Strong problem-solving skills
• Excellent troubleshooting skills with both technical and non-technical issues
• Excellent written and verbal communication skills; team player

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

• Machine learning frameworks: TensorFlow or PyTorch
• Machine learning libraries: Transformers, Scikit-learn
• Strong proficiency in Python

• Cloud computing environments and ML/NLP related cloud services from Azure, AWS or GCP  

• Data visualization/manipulation techniques
• Familiarity with Databases (Oracle, MongoDB, etc.) and Big Data platforms (Hadoop/AWS EMR)

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) / DCPP 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
• St. Louis Post-Dispatch Best Places to Work

About CARFAX

CARFAX, part of S&P Global Mobility, helps millions of people every day confidently shop, buy, service and sell used cars with innovative solutions powered by CARFAX vehicle history information. The expert in vehicle history since 1984, CARFAX provides exclusive services like CARFAX Used Car Listings, CARFAX Car Care, CARFAX History-Based Value and the flagship CARFAX® Vehicle History Report™ to consumers and the automotive industry. CARFAX owns the world’s largest vehicle history database and is nationally recognized as a top workplace by The Washington Post and Glassdoor.com. Shop, Buy, Service, Sell – Show me the CARFAX™. S&P Global Mobility is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.

CARFAX is an Affirmative Action/Equal Opportunity Employer. It is the policy of CARFAX to provide equal employment opportunity to all persons regardless of race, color, sex, pregnancy, religion, national origin, age, ancestry, citizenship status, veteran status, military status, disability or handicap, sexual orientation, genetic information or any other status protected by federal, state or local law. In addition, CARFAX will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. We are a participant in E-Verify.

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