Applied Scientist, Machine Learning

4 months ago
Job ID
Amazon Corporate LLC
Position Category
Machine Learning Science

Job Description

The Amazon Business team is building an applied science team in Austin to disrupt the way businesses worldwide purchase their supplies.
Our team is focused on building solutions to enable business customers to research, discover and buy business, industrial and scientific products in large catalogs; across multiple devices, marketplaces and regions. Our customers include individual professionals, businesses and institutions that buy in either high frequency or in bulk quantities. Our customers have different needs than the traditional Amazon customer base… and we are here to solve this.
We've made some good strides within two year of launch to become one of the most promising opportunities within Amazon. Go ahead and read about it on any of your favorite media outlets.
We are looking for a Sr. Applied Scientist in ML to build our next generation of business e-commerce solutions. We experiment rapidly using the latest machine learning techniques such as Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Matrix Factorization. We work with Machine Learning experts across Amazon to deliver the best possible solutions, leveraging Amazon’s vast computing resources (AWS) and data. We deal with large amounts of training data, rapid prototyping, offline/online testing and high-performance requirements.
This role will require working with Sr. Managers, Principal Engineers, and Program Managers. You should be excited to dive deep, iterate rapidly, and have a desire to learn and try new things. You will work with a team of scientist and engineers who are passionate about machine learning and using AI to make a sizable impact on our customers. You will dive deep into multiple Deep Learning architectures, review papers implement solutions and come up with new, novel alternatives.
Roles and responsibilities include:
- Research and implement novel machine learning and computational models to solve problems that matter to our customers.
- Be efficient in aligning research direction to business requirement and make the right judgment on research project prioritization.
- Lead, mentor and develop a high performing team of Machine Learning Engineers and Research Scientists.
- Stay informed on the latest machine learning trends in general, including recommender systems and deep learning.
- Understand business requirements and customer needs, and map to scientific problem.
- Own end-to-end experimentation, from conception/research, offline testing and live A/B testing.
If you enjoy working in a dynamic environment with a lot of autonomy this may be the career opportunity for you!
Go ahead and join us. Amazon is growing extremely fast, our team is growing even faster!

Basic Qualifications

  • PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • 2+ years of hands-on experience in predictive modeling and analysis
  • Strong algorithm development experience
  • Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language.

Preferred Qualifications

The ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, Economics, or a related quantitative field, and 7+ years of relevant work experience, including:
  • Significant peer reviewed scientific contributions in relevant field.
  • Extensive experience applying theoretical models in an applied environment.
  • Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametrics methods.
  • Strong Experience in Structured Prediction and Dimensionality Reduction.
  • Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).
  • Proven track record of production achievements in language, search and/or personalization.
  • Strong fundamentals in problem solving, algorithm design and complexity analysis.
  • Strong personal interest in learning, researching, and creating new technologies with high commercial impact.
  • Experience with defining organizational research and development practices in an industry setting.
  • Proven track in leading, mentoring and growing teams of scientists (teams of five or more scientists).
  • Strong communication and data presentation skills

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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