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| Location: | London, ON |
| Date Posted: | Jan 14, 2024 |
Job Description
Software Engineer - Machine Learning
Join Team CARFAX as a Software Engineer – Machine Learning
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!
What makes our Tech Culture Amazing?
We’re passionate about having a creative and innovative environment where our developers collaborate and continuously learn and grow. Autonomy is a key pillar of our tech culture. Our developers have the freedom to bring new tools, frameworks, and ideas to the table knowing their voice will be heard. We’re not afraid of trying new things; if the case is made for a new technology or approach, our developers know it will be tried.
What makes our development environment unique:
- Hands-on Learning
- Test Driven Development (TDD)
- Pair Programming
- Agile Methodologies
- Time provided for self-directed professional development
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’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.
- 4+ years of professional experience
- Experience with Bedrock prompts
- Demonstrated professional experience in at least one area of machine learning (deep learning, NLP, 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.
- Excellent troubleshooting skills with both technical and non-technical issues.
- Excellent written and verbal communication skills.
- Machine learning frameworks
- Proficient with Python, Java or Golang
- Cloud computing environments and ML/NLP related cloud services from Azure, AWS or GCP
- Hadoop/AWS EMR, Apache Spark
- 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
- 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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