Graduate Intern – Machine Learning Engineer / Data Scientist

Gilead Sciences

Sep 28, 2023

Applications are closed

Internship
Full-time
Off-cycle Internship
Data
San Francisco

Requirements

Required Qualifications:
Must be at least 18 years old
Must have a minimum GPA of 2.8
Authorized to work in the United States without Sponsorship now or in the future or CPT/OPT through your University.
Must be currently enrolled as a full-time student in a Bachelor’s/Masters/MBA/PhD program at an accredited US based university or college
Must be a Rising Sophomore, Junior, or Senior in undergrad or a Graduate or Doctoral Student
Must be enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship
Must be able to complete a 10-12 consecutive week internship between May and August
Must be able to relocate if necessary and work at the designated site for the duration of the internship
Preferred Qualifications:
Proficiency with MS Office Suite
Ability to identify issues and seek solutions
Ability to work both independently and collaboratively
Demonstrated commitment to inclusion and diversity in the workplace
Efficient, organized, and able to handle short timelines in a fast-paced environment
Enrolled in a Graduate Program with a Major in Computer Science or equivalent
Enrolled in a Graduate Program with a Major in Computer Science or equivalent
Proficient in Python or other major programming language (e.g. C/C++, Java, Go, etc.) familiarity with SQL preferred, but not required
Solid background in mathematics / statistics (e.g. calculus, linear algebra, statistics)
Exposure to advanced mathematics preferred (e.g. graph theory, combinatorics, operations research)
Familiarity with many AI / ML frameworks and tools
Ability to use problem solving skills to deduce business requirements and translate into technical solution
Excellent communication skills and the ability to transfer requirements clearly

Responsibilities

Build end-to-end data science and engineering solutions utilizing Artificial Intelligence and Machine Learning within a small, dynamic team.
Work cross-functionally with stakeholders in PDM and/or Gilead more broadly.
Support the team by developing innovative methods using advanced engineering and mathematical techniques
Leverage various types of data (e.g. numerical, text, audio, video) to deliver solutions to stakeholders
Showcase your work with a final poster board presentation near the conclusion of your internship

Gilead Sciences

Science & Healthcare

Industry

10,001+

Employees

1987

Founded Year

Mission & Purpose

The way we see it, the impossible is not impossible. It’s simply what hasn’t been achieved yet. For more than 30 years, we’ve pursued it, chased it down, tackled it for answers and surrounded it for a way in. We have worked tirelessly to bring forward medicines for life-threatening diseases. Creating Possible drives everything we do. It’s evident in our mission and core values. This is how we built a culture of excellence that is fueled by a passion for improving lives of people around the world. For us, nothing is impossible – because of the people we work with, the communities we stand with and the partners we push forward with. Our ~12,000 employees band together through science, grit, compassion and courage to prove the impossible wrong. At Gilead, the tangible results of your contributions are evident. Where every individual matters. Where all employees can enhance their skills through ongoing development. And where we start every day with one question: “What’s next?”