Intern - Applied Machine Learning - Masters

Job Description

Applied Machine Learning Intern - Masters

Aliso Viejo, CA

About the Team:

The BI, Data Engineering, & Applied AI team is dedicated to advancing game streaming technology through its three specialized units: Data Engineering, Analytics, and Applied Machine Learning. Each unit plays a critical role in enhancing the streaming experience through unique expertise and collaborative efforts.
Our team integrates these strengths to continuously improve the quality, performance, and reliability of game streaming technology, ensuring we effectively respond to user needs, optimize the streaming experience, and maintain a competitive edge in the industry.

What You'll Be Doing:
• Contribute to the development and optimization of machine learning models.
• Collaborate with senior engineers and researchers on data processing and annotation analysis.
• Iterate on algorithm strategies to enhance AI solutions.
• Gain hands-on experience in AI and machine learning in a fast-paced environment

What We're Looking For:
• Currently pursuing a Master's degree in a related field from an accredited institution, with an expected graduation date by Spring 2026.
• In-depth understanding of machine learning concepts, with hands-on experience building software solutions.
• Strong mathematical background with expertise in linear algebra, probability, statistics, and algorithms.
• Experience using high-level scripting languages such as Python or R for data analysis.
• Familiarity with data structures and low-level programming languages like C/C++.
• Proficiency with machine learning frameworks like TensorFlow, CoreFlow, Sklearn, Caffe, or PyTorch.
• Experience with distributed compute frameworks such as Apache Spark/PySpark.
• Familiarity with version control tools (GitHub, Gitlab) and best practices.
• Experience writing complex SQL queries and working with relational databases such as Snowflake.
• Ability to parse semi-structured and unstructured data (JSON, Avro, XML, YAML).
• Familiarity with data modeling, software architecture, and containerized software development (Docker, Kubernetes).
• Experience with ML tools from cloud providers such as AWS, Azure, or Google Cloud.
• Effective oral and written communication skills.
• Strong analytical and problem-solving abilities.
• Highly organized, detail-oriented, and committed to excellence.
• Passion for understanding how things work and exploring new technologies.

Eligibility:
• Able to work during one of the following periods: May 19th - August 8th or June 16th - September 5th.
• Must be available for the entire 12-week internship period.
• Open to students who are US citizens or international students with an F-1 visa.
• Relocation assistance is available for eligible candidates.
Our intern positions offer a fixed hourly pay rate. Please note that the pay rate is exclusive to the internship period and may not reflect what pay may look like following the completion of an internship.

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.

At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.

Intern Pay Range

$41.50
- $54 USD

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Jobcode: Reference SBJ-reep51-3-148-113-219-42 in your application.