Senior Applied Scientist, Amazon Connect

Key Skills

AI Robotic systems, Java Programming, Machine learning techniques, MxNet, NumPy, Python Programming, PyTorch, R Programming, SciPy, SPARK Programming, TensorFlow

Job Description

Interested in Machine Learning (ML) and Artificial Intelligence (AI)? Do you want to join the team that is building AI/ML features that will disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?

Our team is leading the AI features of Amazon Connect. We are a team of scientists and AI/ML engineers working on multiple AI/ML projects, using state-of-the-art science and engineering practices to solve hard problems for our customers in the space of contact center operations, management and optimization.

Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is a publicly available service based on ten years of development building the tools Amazon itself uses to provide its award-winning customer service. With Amazon Connect, businesses can create their own cloud-based contact centers and begin taking calls in minutes. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them.

We are looking for a Senior Applied Scientist (Machine Learning) with a strong academic background and industry experience in the areas of stochastic modeling, queueing theory, anomaly detection and optimization.

BASIC QUALIFICATIONS

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• 4+ years of building machine learning models or developing algorithms for business application experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Deep knowledge stochastic analysis, queueing theory and optimization.

PREFERRED QUALIFICATIONS

• Experience with neural deep learning methods and machine learning
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Strong publication/scientific track record.

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.