Data Engineer – Algorithms
Milpitas, California, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Responsibilities
· Collaborate across functions to, develop and implement algorithms to solve high-impact problems
· Define requirements and measurement criteria for scientific and machine learning models.
· Translate model prototypes into secure, stable, testable, and maintainable production services.
· Develop automated approaches towards monitoring model performance and evaluating impact.
· Encourage and support knowledge-sharing within team and external groups
· Responsible for influencing technical decisions in areas of /modelling that you identify as critical future offerings
· Deliver algorithm and ML projects from beginning to end, including understanding the customer needs, aggregating data, exploring data, building & validating predictive models, and deploying completed models.
Amazon is looking for a Data Engineer to join an exciting new project team working to build a completely new, best in class . Our team is fast paced, highly collaborative and is organized like a startup.
Here at Amazon, 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. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
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 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.
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 engineer and enable them to take on more complex tasks in the future.
Our main office is Milpitas Ca
Basic Qualifications
· Master's degree in Computer Science, Computer Engineering, in Statistics, mathematics, bioinformatics or equivalent experience.
· 3+ years of experience developing probabilistic models, general statistical models or time series algorithms.
· Experience programming in Python, C++, or related language
Preferred Qualifications
· Background in predictive algorithms is a plus· Expertise in communicating insights from complex data to both scientific peers and business leaders through technical writing and visualization.
· Ability to collaborate effectively in a fast moving environment with complex dependencies and requirements.
· Proficient in a statistical modeling framework like R, Matlab and Scala.
· Experience developing machine learning algorithms.
· Experience with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet
· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
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, visit US Disability Accommodations.
Tags: Computer Science Engineering Machine Learning Mathematics Matlab ML models MXNet Python PyTorch R Scala Statistical modeling Statistics TensorFlow
Perks/benefits: Career development Conferences Startup environment
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