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トレンド企業

トレンド企業

採用

求人Whoop

Senior AI/ML Engineer (AI Platform)

Whoop

Senior AI/ML Engineer (AI Platform)

Whoop

Boston, MA

·

On-site

·

Full-time

·

2mo ago

報酬

$150,000 - $210,000

福利厚生

Unlimited Pto

Healthcare

Remote Work

Learning

Parental Leave

必須スキル

Python

TensorFlow

SQL

At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer by using AI to transform continuous physiological data into clear insights and actionable recommendations. Our AI platform is central to this mission, turning raw physiological signals into trusted, personalized guidance that members can act on every day.

WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP’s AI-powered experiences, including WHOOP Coach, AI-powered Support, and new intelligent features across the product. In this role, you will own core components of the AI Platform that power our internal AI Studio: evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tooling. You will partner closely with product and data science to translate real member needs into reliable, impactful AI systems that improve continuously based on real-world usage.

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

Whoopについて

Whoop

Whoop

Series F+

A SaaS-based platform that enables subscribers to create and share media applications, websites, and text communication solutions.

1-50

従業員数

Atlanta

本社所在地

$3.6B

企業価値

レビュー

3.5

10件のレビュー

ワークライフバランス

2.8

報酬

2.5

企業文化

4.0

キャリア

3.2

経営陣

2.7

65%

友人に勧める

良い点

Supportive team and colleagues

Good learning and training opportunities

Collaborative and dynamic work environment

改善点

High stress and overwhelming workload

Poor work-life balance

Management and leadership issues

給与レンジ

30件のデータ

Mid/L4

Mid/L4 · Data Scientist II Coaching

1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

-

$143,750

$143,750

面接体験

11件の面接

難易度

2.9

/ 5

期間

14-28週間

内定率

73%

体験

ポジティブ 73%

普通 0%

ネガティブ 27%

面接プロセス

1

Application Review

2

Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Onsite

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Take-Home Project