Machine Learning Intern

Job Description

Machine Learning Intern | HERE Technologies

The Tone:
This is a full-time paid internship at HERE Technologies, a leader in location data and technology. The company focuses on developing a robust location data and technology platform that helps customers achieve better outcomes, from managing city infrastructure to optimizing business assets and guiding drivers safely. This role is crucial for supporting the development and implementation of cutting-edge machine learning features for dynamic content products within the new Multiple Industry organization, requiring collaboration with various engineering teams to bring solutions to life.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: Not specified
• Pay: $25–$35 hourly
• Team: Works with data scientists, architects, and research engineers
• Mission: Supporting the new Multiple Industry organization’s dynamic content product ML features development and implementation.
• Tech Stack: Python, Java/Java Script, Scala, JDBC, Tableau, Amazon Web Services, Glue, IceBerg, ECS/EKS, Athena, Redshift, SageMaker

What You’ll Actually Do
• Collaborate: Collaborate with data scientists, architects, and research engineers to develop and implement ML features for dynamic content products.
• Implement: Implement algorithms, performing data collection, filtering, and analysis.
• Analyze: Analyze probe and sensor data to improve overall dynamic product quality.
• Model: Develop models for Origin/Destination Trips and intersections.
• Support: Support intersection travel time analysis using probe data and machine learning algorithms.

The Must-Haves
• Background: Undergraduate student currently pursuing a degree in Computer Science, Computer Engineering, or a related engineering field. Candidates should possess a foundational understanding of data and machine learning concepts, eager to apply academic knowledge in a practical industry setting.
• Experience: Demonstrated ability to swiftly develop and implement prototype systems and new research ideas in a timely manner. This includes experience in translating concepts into functional code and systems effectively and efficiently.
• Skills: Proficiency in prototyping languages such as Python, Java/JavaScript, Scala, JDBC, and Tableau is essential. Additionally, candidates must possess strong technical communication skills, including the ability to write clear and concise technical reports and articulate results effectively.
• Bonus: Prior experience utilizing cloud platforms and services, specifically Amazon Web Services (AWS) components such as Glue, IceBerg, ECS/EKS, Athena, Redshift, or SageMaker.