热门公司

招聘

职位

Anyscale

Anyscale

Anyscale

Software company.

Distributed Systems

Machine Learning

Cloud Infrastructure

Scalable Computing

San Francisco

51-200

2013年成立(第13年)

混合办公

Private

估值

$1B

融资总额

$161M

最近融资

Series C

开放职位

1个职位

We have moved our Careers Page to: https://jobs.ashbyhq.com/anyscale

Frontend

San Francisco or Palo Alto, CA

On-site

Mid-Level

Full-time

股权

医疗保险

弹性工作

查看详情

2个月前

产品与服务

Anyscale Platform

Anyscale Platform

AI Platform

AN

Anyscale Platform

Platform

Ray

Ray

Open Source Framework

RA

Ray

Framework

AN

Anyscale Jobs

Compute Service

Anyscale Jobs

Anyscale Jobs

ML Operations

Anyscale Services

Anyscale Services

Model Serving

AN

Anyscale Services

Model Serving

AN

Anyscale Workspaces

Development Environment

Ray Tune

Ray Tune

ML Optimization

RA

Ray Tune

ML Tool

Ray Train

Ray Train

ML Training

RA

Ray Train

ML Tool

Ray Serve

Ray Serve

Model Serving

Ray Data

Ray Data

Data Processing

RA

Ray Data

Data Processing

RA

Ray Serve

Model Serving

EN

Enterprise Support

Professional Services

新闻动态

All

Reddit

X

News

HN

LinkedIn

YouTube

[Admissions Advice] MCS UIUC (Urbana on-campus) vs MSCS Northeastern (Boston) — real talk from current students/grads

Accepted to both for Fall 2026, genuinely stuck. Looking for honest input from current students/recent grads not rankings debates. **Background:** * Indian applicant, Fall 2026 * 1+ years as C++ systems engineer (enterprise backup, distributed systems) * Target: AI/ML infrastructure engineering, systems, or distributed systems roles * Open to FAANG, AI infra startups (Databricks, Anyscale, Scale), or HFT systems roles * Partner doing MS Finance at Boston College — long-distance is a real fact

Reddit

·

4天前

·

1

·

7

[Admissions Advice] MCS UIUC (Urbana on-campus) vs MSCS Northeastern (Boston) — real talk from current students/grads

Accepted to both for Fall 2026, genuinely stuck. Looking for honest input from current students/recent grads — not rankings debates. **Background:** * Indian applicant, Fall 2026 * 1+ year as C++ systems engineer (enterprise backup, distributed systems) * Target: AI/ML infrastructure engineering, systems, or distributed systems roles * Open to FAANG, AI infra startups (Databricks, Anyscale, Scale), or HFT systems roles * Partner doing MS Finance at Boston College — long-distance is a real fact

Reddit

·

4天前

·

14

Ray 2.55 Adds Fault Tolerance for Large-Scale AI Model Deployments - MEXC

MEXC

News

·

2周前

Cheaper LLM API providers compared to OpenAI, Anthropic and perplexity

Recently I did some findings on providers that provide LLMs cheaper than the traditional providers and the performance and context window are better as well Most providers provide openAI compatible APIs making switching between providers with minimal changes. Note: Link directly goes to their pricing page Direct Pricing Links- * [Mistral Pricing](https://mistral.ai/pricing) * [Together Pricing](https://www.together.ai/pricing) * [Groq pricing](https://groq.com/pricing) * [Replicate Pricing](

Reddit

·

3周前

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16

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30

Ray Serve Upgrade Delivers 88% Lower Latency for AI Inference at Scale - mexc.co

mexc.co

News

·

3周前

更多 (剩余15条)

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

评价

4.1

10条评价

工作生活平衡

3.9

薪酬

4.5

企业文化

4.1

职业发展

4.0

管理层

3.9

79%

推荐给朋友

优点

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Opportunities for continuous learning and growth

缺点

Organizational changes and restructuring can be disruptive

Work-life balance can be challenging during product launches

Fast-paced environment with tight deadlines

薪资范围

51个数据点

L2

L3

L4

L5

L6

L2

0份报告

$194,292

年薪总额

基本工资

$77,717

股票

$97,146

奖金

$19,429

$136,004

$252,580

面试经验

64次面试

难度

3.7

/ 5

时长

2-5w

录用率

39%

体验

正面 69%

中性 13%

负面 18%

面试流程

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

联系方式与地址