Applied Scientist, Prime Tech, Amazon Prime

Amazon; Seattle (WA); On-site; USD 136,000 - 222,200; Full time

Benefits offered by this job

Medical benefits

Financial benefits

Equity options

Sign-on payments

Job summary

Join a forward-thinking company as an ML Lead, where you'll tackle scientific and technical challenges to enhance customer experiences. In this dynamic role, you'll partner with product owners to develop algorithms that personalize content and optimize customer interactions. You'll work with cutting-edge ML technologies and collaborate with a team focused on innovation and scientific research. If you're passionate about machine learning and eager to make a significant impact, this opportunity is perfect for you. Embrace the chance to contribute to a diverse and inclusive workplace while shaping the future of customer engagement.

Qualifications

• 3+ years of experience in building models for business applications.
• Strong programming skills in Java, C++, or Python.

Responsibilities

• Build and develop machine learning models at TB scale.
• Analyze historical business data to optimize processes.

Skills

Machine Learning

Data Mining

Statistical Techniques

Algorithms and Data Structures

Java

C++

Python

Reinforcement Learning

Education

PhD in Computer Science or related field

Master's degree in Computer Science or related field

Tools

AWS (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3)

Unix/Linux

Job description

Job ID: 2836623 | Amazon.com Services LLC

Interested in helping build Prime's content and offer experimentation system to drive huge business impact on millions of customers? Join our team of Scientists and Engineers developing algorithms to adaptively generate and experiment on new content, personalize, and optimize the customer experience with Amazon Prime. This includes identifying who our customers are and providing them with personalized relevant content. As an ML lead, you will partner directly with product owners to intake, build, and directly apply your modeling solutions.

There are numerous scientific and technical challenges you will get to tackle in this role, such as adaptive experimentation, structured multi-armed bandits and its application to various types of experimentation and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from LLM's, Gen AI, deep learning, multi-armed bandits, optimization, and RL.

As the central science team within Prime, our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of.

You will also utilize and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ...), various ML algorithms and techniques (Random Forests, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement learning, LLM's), and statistical modeling techniques.

Major Responsibilities

1. Build and develop machine learning models and supporting infrastructure at TB scale, in coordination with software engineering teams.
2. Leverage Bandits and Reinforcement Learning for Experimentation and Optimization Systems.
3. Develop offline policy estimation tools and integrate with reporting systems.
4. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
5. Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes.
6. Work closely with the business to understand their problem space, identify the opportunities and formulate the problems.
7. Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.
8. Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.

BASIC QUALIFICATIONS

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

• Experience using Unix/Linux
• Experience in professional software development

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 this link.

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 $222,200/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 this link. This position will remain posted until filled. Applicants should apply via our internal or external career site.