Description

　　Amazon is looking for a passionate, talented, and inventive Sr. Machine Learning Engineer / Research Engineer with a strong machine learning background to help build industry-leading technology in generative AI and foundational models.

　　As part of our Generative AI science team in Amazon AWS Bedrock, you will have the opportunity to impact millions of our customers by researching and building innovative algorithms that can optimize the inference engine of a wider range of foundation models. You will gain hands on experience with Amazon’s large-scale computing resources to accelerate advances in machine learning and foundation models. You will work along side a supportive and collaborative team with a healthy mix of scientists and engineers to research and develop state-of-the-art technology for inference optimization.

　　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.

　　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 scientist and engineer and enable them to take on more complex and larger scope tasks in the future.

　　We are open to hiring candidates to work out of one of the following locations:

　　Santa Clara, CA, USA

　　Basic Qualifications

　　4+ years of programming with at least one software programming language experience

　　4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

　　4+ years of non-internship professional software development experience

　　Experience as a mentor, tech lead or leading an engineering team

　　PhD, or Master's degree and 4+ years of machine learning or applied research experience

　　Experience with conducting research and development in a corporate setting

　　Prior experience with one or more model inference optimization techniques and fluent in developing inference optimization techniques in frameworks like PyTorch and CUDA.

　　Preferred Qualifications

　　Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.

　　Prior experience in the training and fine tuning of Large Language Models (LLMs), or experience with various inference engines.

　　Deep understanding of GPU architectures and experience optimizing for different hardware platforms and systems preferred.

　　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, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.