Member of Technical Staff, AGI Autonomy Human Feedback

San Francisco, California, USA

Amazon.com

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Our team’s mission is to build the world’s most useful agent, and we’re looking for a PMT to productize the tools/processes for collecting and analyzing a wide range of human data. You’ll work alongside world class AI researchers, engineers, program managers, and product managers to identify and implement the best processes for (1) human data collection and (2) improving our tech for our early customers. This role is highly cross-functional, leveraging skills across data science, machine learning engineering, and project/product management to ensure our team collects the most effective agentic training data in a rapidly-evolving technological environment.

Key job responsibilities
Key job responsibilities

* Own the productization of our internal tools for data collection and HCI team velocity
* Work closely with researchers, data scientists, and engineers to create robust data pipelines and data collection tools
* Work closely with program managers to optimize data collection processes
* Work closely with the product team to align our early technology with customer needs

Basic Qualifications


* 3+ years of data science or data engineering experience
* Experience using data and metrics to determine and drive improvements
* Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
* Experience with product management or technical product management

Preferred Qualifications

* Degree in ML engineering or related field
* Experience at an AI startup

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.

Pursuant to the San Francisco 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.

The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.

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Category: Leadership Jobs

Tags: AGI Data pipelines Engineering Java Machine Learning Node.js Pipelines Python Scala

Perks/benefits: Career development Equity / stock options Startup environment

Region: North America
Country: United States

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