Intern Machine Learning - SDIC

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Samsung Design Innovation Center (SDIC) located in San Francisco, CA, is looking for a Machine Learning Intern who shares our “innovation through passion” philosophy and thrives in a fast-paced, results-driven environment.

We are interested in passionate and self-motivated individuals who are comfortable in a highly fluid environment. You will bring drive, smarts, and curiosity; we will provide the environment for you to thrive and grow.

Position Overview

We are looking for a Machine Learning Intern to join our multi-disciplinary team of designers and engineers to help explore how we can better infuse our products with the latest in state-of-the-art ML with the ultimate goal of bringing these new and unique products and services to our users.

Requirements

• Ph.D. in Computer Science, Electrical Engineering or related fields - Must be a current student or recent graduate (less than 1 year)
• Strong background in audio signal processing, machine learning and related fields
• Working experience with audio event detection or audio scene classification technologies
• Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits
• Good communication and team-working skills
• Proficient with C/C++ and/or python programming
• Proficient with MATLAB

Responsibilities

• Develop state-of-the-art machine learning based audio signal processing and analysis technologies and modules
• Collaborate with other colleagues to integrate audio signal processing and analysis modules into experience prototypes
• Summarize research findings in high-quality paper and/or patent submissions

Preferred Qualifications

• Publication record in top machine learning and audio analytics venues (e.g. ICASSP, Interspeech, AAAI, ICML).
• Experience on noise cancellation or source separation
• Experience on audio signal localization

Be Bold. Resonate with Soul.

Overview: Samsung Research America (SRA) plays a pivotal role in developing the next generation of discovery in software, user experience and services for future products that can enrich your life.

Our mission is to research and develop new technologies by partnering with the best and brightest and creating a collaborative environment between industry and academia. Headquartered in Silicon Valley, with locations in many technology centers in North America, SRA is driven to build a culture of innovation that rapidly translates research and new ideas into the unexpected.

Why Samsung?

Come and get real world experience developing innovative solutions at a global leader in the mobile revolution! Samsung internships improve your academic goals by providing the opportunity to gain hands-on experience and apply learned theory on real commercial projects.

We will consider qualified applicants for employment with arrest and conviction records.

Additional Information

For U.S. Candidates Only: SRA has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

Work Hours

• Incumbent must make themselves available during core business hours.

Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.

EEO Statement

Samsung is committed to encouraging a diverse workplace and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.