Data Scientist Internship (AI)

TL;DR

Data Scientist Internship (AI/ML): Building and deploying machine learning models to drive innovation and scale solutions for Amazon problems with an accent on architecting and developing new algorithms for scientific solutions. Focus on customer-obsessed research, building and deploying ML models with large datasets and cloud technology, and defining metrics for customer satisfaction and engagement.

Location: This role may be available across multiple locations in the EMEA region (Austria, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain and the UK). Please note these are not remote internships.

Company

hirify.global focuses on building and deploying machine learning models within a customer-focused culture.

What you will do

• Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions.
• Work on an interdisciplinary team on customer-obsessed research.
• Create and deliver Machine Learning projects that can be quickly applied and scaled to EU/worldwide.
• Build and deploy Machine Learning models using large datasets and cloud technology.
• Create and share technical papers and presentations with audiences of varying levels.
• Define metrics and design algorithms to estimate customer satisfaction and engagement.

Requirements

• Enrolled in a Master's degree in computer science, machine learning, engineering, or related fields.
• Speak, write, and read fluently in English.

Nice to have

• Experience in optimization (LP, MIP), statistics, machine learning, process control, or combinatorial optimization.
• Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., SAS, Matlab).
• Experience with big data: processing, filtering, and presenting large quantities of data.
• Experience implementing algorithms using both toolkits and self-developed code.

Culture & Benefits

• Competitive stipend/salary.
• Interns are paired with an experienced manager and mentor(s).
• Interns receive invitations to different events such as intern program initiatives or site events.
• Interns can build their professional and personal network with other Amazon Scientists.
• Interns can potentially publish work at top-tier conferences each year.

Hiring process

• Applicants will be reviewed on a rolling basis.
• Assignments to teams are aligned with research interests and experience prior to interviews.
• Start dates are available throughout the year.
• Internship durations can vary in length from 3-6 months for full-time internships.