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Anyscale

Anyscale

Anyscale

Software company.

Distributed Systems

Machine Learning

Cloud Infrastructure

Scalable Computing

San Francisco

51-200

Founded in 2013 (13 years ago)

Hybrid

Private

Valuation

$1B

Total funding

$161M

Last round

Series C

Open positions

1 positions

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

Equity

Healthcare

Flexible Hours

View details

2 months ago

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[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

·

4d ago

·

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

·

4d ago

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14

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

MEXC

News

·

2 weeks ago

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 weeks ago

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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 weeks ago

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Weekly mock applicants

0

Bookmarks

0

Reviews

4.1

10 reviews

Work-life balance

3.9

Compensation

4.5

Culture

4.1

Career

4.0

Management

3.9

79%

Recommend to a friend

Pros

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Opportunities for continuous learning and growth

Cons

Organizational changes and restructuring can be disruptive

Work-life balance can be challenging during product launches

Fast-paced environment with tight deadlines

Salary Ranges

51 data points

L2

L3

L4

L5

L6

L2

0 reports

$194,292

total per year

Base

$77,717

Stock

$97,146

Bonus

$19,429

$136,004

$252,580

Interview experience

64 interviews

Difficulty

3.7

/ 5

Duration

2-5w

Offer rate

39%

Experience

Positive 69%

Neutral 13%

Negative 18%

Interview process

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

Contact and location