Applied Scientist III - AMZ10564141

Amazon.com Services LLC - A57; Culver City (CA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon.com Services LLC in Culver City, CA, is seeking an Applied Scientist III to design, develop, evaluate, deploy and update data-driven ML/NL solutions. Build and deploy ML models, run experiments, and apply statistical methods to business problems.

You will mentor junior engineers and contribute to research efforts to meet business goals. Competitive compensation and comprehensive benefits provided.

Qualifications

• Master's degree or foreign equivalent in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
• Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and two years of research or work experience.
• Must have one year of research or work experience in: (1) programming in Java, C++, Python, or equivalent; and (2) developing ML models for complex projects.

Responsibilities

• Participate in the design, development, evaluation, deployment and updating of data-driven ML/NL models and analytical solutions.
• Develop and apply statistical modeling, Bayesian methods, deep learning, and optimization techniques to business and engineering problems.
• Routinely build and deploy ML models on available data and run experiments in production environments.
• Mentor junior engineers and scientists.

Skills

Java

C++

Python

Machine Learning

Education

Master's degree in CS/ML/Engineering or related field

Bachelor's degree with 5 years progressive post-baccalaureate experience

Tools

Python

Job description

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC

Offered Position: Applied Scientist III

Job Location: Culver City, California

Job Number: AMZ10564141

Position Responsibilities:

Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.

40 hours / week, 8:00am-5:00pm, Salary Range: $167,100/year to $226,100/year.

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, visit: https://www.aboutamazon.com/workplace/employee-benefits.

Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

Basic Qualifications:

Position Requirements:

Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and two years of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language; and (2) conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.#0000

Preferred Qualifications:

Please see job description and the position requirements above.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:

Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.