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Software Engineer - Model Training Infrastructure - USDS

TikTok

Software Engineer - Model Training Infrastructure - USDS

TikTok

Seattle, WA

·

On-site

·

Full-time

·

2mo ago

報酬

$177,688 - $341,734

福利厚生

Learning

Equity

Parental Leave

必須スキル

JavaScript

React

Python

About the Team

  • The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer
  • Model Training Infrastructure to join our team to support and advance that mission.

Responsibilities

  • Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
  • Responsible for improving use-ability and flexibility of the machine learning infrastructure.
  • Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
  • Responsible for designing and developing key components of ML infrastructure and mentoring interns.

Minimum Qualifications

  • Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role
  • Proficient in C/C++/CUDA/Python, and have solid programming skills.
  • Familiar with deep learning frameworks (Tensor Flow/Pytorch).
  • Experience in developing and deploying large-scale systems.

Preferred Qualifications

  • Ability to work independently and complete projects from beginning to end and in a timely manner.
  • Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
  • Experience on improving core machine learning infrastructure(Tensor Flow, Pytorch, and Jax).
  • Experience contributing to an open sourced machine learning framework (Tensor Flow/Py Torch).
  • Experience in using/designing open-source machine learning lifecycle management systems: TFX

Work Authorization

As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship for any immigration-related benefits.

Compensation

The base salary range for this position in the selected city is $177,688 - $341,734 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Los Angeles County (Unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
  3. Exercising sound judgment.

総閲覧数

1

応募クリック数

0

模擬応募者数

0

スクラップ

0

TikTokについて

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

従業員数

Los Angeles

本社所在地

$220B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.9

68%

友人に勧める

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

給与レンジ

49件のデータ

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3件のレポート

$143,750

年収総額

基本給

$125,000

ストック

-

ボーナス

-

$126,500

$163,300

面接体験

2件の面接

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit