Senior Applied Scientist, Titan Labs

Key Skills

C++, GPUs, Java Programming, ONNX, Python Programming, PyTorch

Job Description

Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading technology in language, generative AI and foundational models.

Key job responsibilities

As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning.

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

Santa Clara, CA, USA

BASIC QUALIFICATIONS

• 6+ years of building machine learning models for business application experience
• PhD, or Master's degree and 10+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with conducting research in a corporate setting
• Prior experience with one or more model optimization techniques for Large Language Models (post training quantization, pruning, knowledge distillation) and deep expertise in modern deep learning frameworks (PyTorch, ONNX).

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. Understanding of hardware architectures (CPU/GPUs) and experience optimizing for different hardware platforms 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 $136,000/year in our lowest geographic market up to $260,000/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.