Amazon

ML/DSP Research Engineer / SDE III

2 months agoPalo Alto, CA

DESCRIPTION

The Advanced Technology Group, within the Amazon Chime team is the cornerstone of the AWS Center for Audio and Video Excellence. Our charter is to think big, re-imagine, re:Invent, problem solve, innovate and deliver novel, state-of-the-art solutions to audio and video problems. We are interested in all aspects of audio and video technology, and we leverage the latest Machine Learning (ML) and Signal Processing (DSP) techniques to surprise and delight our customers. Our applications include real-time audio/video communications, audio/video scene analysis, anomaly detection, audio/speech/music/image/video processing, enhancement, analysis, synthesis and coding.

We reach our customers in multiple ways. Our work feeds directly into the Amazon Chime SDK, which now has worldwide adoption and rapid growth. We also contribute Amazon Chime Meetings and power other AWS and Amazon multimedia offerings. In addition, we are building and launching new standalone AWS cloud services to put our technology directly into the hands of builders and customers. We have the nimbleness of a small startup outfit, but, at the same time, the immense resources of AWS - the world leader in cloud computing - behind us as well. If you want to have a profound and direct impact on the end customer experience, this is the team to be on!

We have a world-class, award-winning team of research scientists, applied scientists, research engineers and software engineers, and we are looking to hire in all of these job families.

Research Engineers are the backbone of an applied science team. They are equally comfortable writing production quality software as well as building and training machine learning models. They have domain expertise in audio or video, and can debug and solve issues whether they are in the software engineering domain or the audio/video domain. In this role, they will work alongside top-notch scientists as well as software engineers, and are involved in all aspects of new AWS projects and services.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• 4+ years of professional software development experience
• 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

BS/MS in CS, EE, DSP, ML, Audio or Video
Familiarity with signal processing, machine learning and statistical modeling techniques

PREFERRED QUALIFICATIONS

• MS/PhD in CS, EE, DSP, ML, Audio or Video

• Strong software design and development skills

• Experience working effectively with science, data processing, and software engineering teams

• Proven track record of innovation and delivering efficient production worthy code
• Entrepreneurial spirit combined with strong architectural and problem solving skills.

• Excellent written and spoken communication skills.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit US Disability Accommodations.