Job Description
Required Skills and Experience:
- Currently pursuing a degree in Data Science, Data Engineering, or Computer Science with a focus on Data Science.
- Have a good understanding of, and academic experience with, deep learning and machine learning models.
- Hands-on experience in one or more programming languages, such as Python or JavaScript.
- Familiarity with common machine learning and natural language processing evaluation metrics, such as accuracy, precision, and recall.
- Understand API development and best practices.
- Comfortable with Agile practices.
- Academic experience with cloud technologies such as AWS, Azure, or GCP, and exposure to automation, system monitoring, and cloud-native applications.
- Academic experience working on group software projects.
- Strong analytical and problem-solving skills
Preferred Skills and Experience:
- Software engineering practical experience or degree
- Familiarity with building machine learning models and/or systems.
- Ability to translate the latest research into implementations addressing our use cases.
- Exposure to Computer Vision tasks, such as feature engineering, image processing, image classification, object detection, OCR, etc.
What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
- Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
- Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
- Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.