热门公司

招聘

职位Amazon

Language Engineering Manager, AGI Data Services

Amazon

Language Engineering Manager, AGI Data Services

Amazon

Boston, MA, USA

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

Project Management

Customer Service

  • Amazon is looking for a Language Engineering Manager to join our Artificial General Intelligence
  • Data Services organization. We are seeking a candidate with strong analytical skills and extensive language technology experience, especially in the area of data production for AI and Large Language Models.

As a Language Engineer Manager, you will manage a cross-functional team of Language Engineers who support and lead efforts in complex, novel, and/or large-scale data creation or processing for the use in Artificial Intelligence (AI) models.

You will take part in setting up team goals and will be responsible for your team delivering these goals. You will collaborate with other science and tech teams to introduce new tools or approaches, always on the lookout to improve our processes and velocity.

  • Key job responsibilities
  • Lead a cross-functional team of Language Engineers
  • Provide technical and scientific guidance to your team members in their tasks related to data creation and processing
  • Lead improvement efforts to optimize existing data creation and sourcing processes or invent new ones
  • Effectively collaborate with science, engineering, and business partners on large-scale programs
  • Supporting the career development of your team members

The successful candidate will have an established background in developing diverse, complex, and large-scale datasets for AI, a strong technical ability, demonstrated experience in people management, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment.

Basic Qualifications

  • Master’s or higher degree in a relevant field (e.g. linguistics, computational linguistics)
  • 5+ years’ experience in computational linguistics and language data processing
  • Experience with language annotation and other forms of data markup, especially complex data for AI Models
  • Experience working with speech and text language data in multiple languages
  • Experience programming in Python or another scripting language
  • 2+ years’ experience managing technical linguistic teams in the NLP field

Preferred Qualifications

  • Explicit industry experience with language understanding systems or Large Language models or AI
  • Demonstrated leadership abilities, especially with cross-disciplinary efforts
  • Excellent written and verbal communication skills
  • Project management experience
  • Demonstrated experience with large-scale data analytics

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Sunnyvale - 146,100.00 - 197,700.00 USD annually
USA, MA, Boston - 127,100.00 - 171,900.00 USD annually
USA, WA, BELLEVUE - 127,100.00 - 171,900.00 USD annually

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge