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채용Comet ML

Full Stack Engineer

Comet ML

Full Stack Engineer

Comet ML

Israel Hybrid, Europe Remote

·

Hybrid

·

Full-time

·

1mo ago

복지 및 혜택

Flexible Hours

Remote Work

필수 스킬

React

TypeScript

Java

Full-stack development

Database design

Containerization

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).

You are:

We are seeking a talented Full Stack Engineer to join our team and help build the Opik product! Opik is an open-source platform designed to streamline the entire lifecycle of LLM applications, helping developers evaluate, test, monitor, and optimize their models and agentic systems.

Ready to shape the future of LLM development? Join us in building the next generation of AI observability tools!

Responsibilities:

  • Build & ship features at high pace in a fast-moving AI development environment

  • Develop and maintain comprehensive observability tools for LLM applications and RAG systems

  • Create intuitive user interfaces for LLM tracing, evaluation dashboards, and production monitoring

  • Build robust APIs and backend services to support real-time LLM application monitoring

  • Collaborate with AI researchers and ML engineers to implement cutting-edge evaluation methodologies

  • Contribute to both frontend (React/TypeScript) and backend (Java) components

  • Design and implement automated evaluation systems and "LLM as a Judge" capabilities

  • Work on integrations with popular LLM frameworks and libraries

  • Participate in open-source community engagement and technical documentation

Requirements:

  • Experience: 3+ years of full-stack development experience, preferably in AI/ML domains

  • AI Development Tools: Hands-on experience with AI-assisted coding environments, IDEs, and agent-based workflows (e.g., Cursor, Windsurf, GitHub Copilot, Codex, Claude Code, and similar platforms)

  • Model Knowledge: Deep understanding of different AI model capabilities, limitations, and appropriate use cases (GPT-5, Claude, Gemini, etc.)

  • Frontend Development: Expertise in React, TypeScript and modern web development practices

  • Backend Development: Strong proficiency in Java with frameworks like Dropwizard

  • Database & Infrastructure: Knowledge of scalable database design and containerization

  • Observability Tools: Experience with tracing, monitoring, and evaluation systems

  • Collaboration: Strong communication skills for working in a distributed, global team environment

  • Problem Solving: Ability to work in ambiguous environments and solve complex technical challenges

Nice to have:

  • Open Source: Experience contributing to or maintaining open-source projects

  • AI/ML Experience: Understanding of Large Language Models, RAG systems, and AI application architectures

Preferred Qualifications:

  • Experience with model evaluation, prompt engineering, and LLM optimization

  • Knowledge of distributed systems and high-throughput data processing

  • Familiarity with ML experiment tracking and model monitoring platforms

  • Experience with DevOps practices and CI/CD pipelines

  • Understanding of AI safety, model security, and responsible AI practices

What We Offer:

  • Competitive salary, based on proven experience, skills and location.

  • Competitive benefits package.

  • Flexible working hours and remote/Hybrid work options.

  • Opportunities for professional growth and development.

  • A collaborative and innovative work environment.

  • The chance to work with cutting-edge technologies and projects.

  • This role will be **located in Tel Aviv, Israel (with hybrid flexibility) or in Europe (fully remote),**working with a global team (large presence in the US, Tel Aviv and Europe), some flexibility with work hours is required to collaborate across time zones.

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.

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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

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4w ago

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1

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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

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4w ago

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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

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4w ago

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35

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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

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4w ago

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191

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72