refresh

트렌딩 기업

트렌딩 기업

채용

채용Comet ML

Future Opportunities at Comet - Engineering and Product

Comet ML

Future Opportunities at Comet - Engineering and Product

Comet ML

Remote- Europe, Israel - Hybrid

·

Hybrid

·

Full-time

·

1mo ago

복지 및 혜택

Remote Work

Flexible Hours

필수 스킬

Machine Learning

About Comet

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI.

Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you.

Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel).

We’re always excited to meet people who resonate with our mission and want to help shape the future of AI.

If you don’t see a role on our careers page that fits your background, this is your invitation to introduce yourself.

Why Submit an Open Application?

Great talent doesn’t always fit neatly into a job description. Comet is growing, evolving, and pushing technical boundaries, and that means new needs emerge all the time across:

Engineering

Product

  • Sales, Customer Success & Solutions engineering

Marketing

Operations, Finance & People

If you believe you can contribute to our mission, we want to hear your story.

What We’d Love From You

When you apply, please include:

Your CV and LinkedIn profile

What type of role or team you’re most excited about

**Why Comet?**What about our product, mission, or culture speaks to you?

Links to any work you’re proud of: GitHub, demos, writing, projects, research, anything.

Give us a sense of who you are and how you think.

Life at Comet

We’re a global, remote-friendly team that values:

Ownership and autonomy

Curiosity and continuous learning

Clear communication and transparency

High standards, thoughtfully applied

We build with intention, and we build together.

What Happens After You Apply

Your application goes directly into our talent pipeline. As new roles open, we review open applications first to find people who already feel aligned with Comet’s mission and values.

If a future opportunity matches your experience, we’ll reach out to start the conversation.

If Comet excites you, even if the timing isn’t perfect today, we hope you say hello anyway.

Your next role here might be one we haven’t created yet.

Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Comet ML 소개

Comet ML

Comet ML

Series B

Comet ML provides a machine learning experiment management platform that helps data scientists and ML engineers track, compare, and optimize machine learning models and experiments.

51-200

직원 수

New York

본사 위치

리뷰

3.7

1개 리뷰

워라밸

3.0

보상

3.0

문화

3.0

커리어

3.0

경영진

3.0

80%

친구에게 추천

장점

Enables visualization and automatic tracking of dataset work

Useful integration for EDA workflows

Good technical functionality

단점

Limited feedback available

Single review basis

No specific cons mentioned

연봉 정보

5개 데이터

VP

VP · Chief Executive Officer

2개 리포트

$172,500

총 연봉

기본급

$150,000

주식

-

보너스

-

$172,500

$172,500

면접 경험

50개 면접

난이도

3.2

/ 5

소요 기간

14-28주

합격률

38%

경험

긍정 65%

보통 18%

부정 17%

면접 과정

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

자주 나오는 질문

Technical skills

Past experience

Team collaboration

Problem solving

뉴스 & 버즈

is it safe to click a promoted post here on reddit? (website version)

i accidentally clicked on a promoted post here on reddit (the one that says Opik) and it redirected me to a different site which i immediately exited. can that give me a virus? or any spyware/malware? is that a malicious link/post? the screenshot is from my other post that i posted on a different community since i already deleted the original screenshot.

Reddit

·

4w ago

·

1

·

1

clicked on a promoted post here on reddit

i accidentally clicked on a promoted post here on reddit and it redirected me to a different site which i immediately exited. (the one that says Opik), can that give me a virus? is that a malicious link/post?

Reddit

·

4w ago

·

6

Hugging face is somewhere to share open LLM models, not actual faces.

Poor girl posts a selfie to the hugging face subreddit which is a sub for talking about [huggingface.co](http://huggingface.co) \- a website for sharing open source LLM models.

Reddit

·

4w ago

·

35

·

3

5 OpenClaw plugins that actually make it production-ready

If you are using OpenClaw regularly, you start noticing patterns after a while. Simple tasks hit the same expensive model used for complex reasoning. MEMORY. md keeps growing but still misses the right context. Connecting tools like Slack, GitHub, or Gmail means dealing with auth and tokens. Sometimes the agent just stops mid-run and you have no clear trace of what happened. The agent works, but the system around it feels inefficient. Most of this comes from how the default setup works. It re

Reddit

·

4w ago

·

191

·

72