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Fireworks

AI

Fireworks’ state of the art training and inference platform take you beyond the frontier, transforming open models into your specialized intelligence.

Fireworks은(는) 채용 중인가요?

네. 2026년 10월 8일 기준으로 Metaintro에 Fireworks의 공개 포지션이 79 개 있습니다. 최근 30일 동안 25 개가 게시되었습니다.

채용 중인 포지션

최신순. 공고에 급여가 기재된 경우 표시합니다.

채용 패턴

Fireworks의 포지션 증가 속도와 근무 형태.

월별 신규 포지션해당 월에 처음 게시된 포지션

58
26
6
8월9월10월
10월: 신규 포지션 6개.

포지션별 근무 형태채용 중인 포지션 중 비율

34%
4%
10%
51%
하이브리드원격사무실 출근미기재
포지션의 38%가 하이브리드 또는 원격입니다.

고객

Fireworks의 고객으로 언급된 회사 12곳 전체.

채용 중인 고객사8

고객 사례1

기타 고객사3

고객의 목소리

Fireworks 고객사 관계자들의 이야기.

“Fireworks' Multi-LoRA capabilities align with Cresta's strategy to deploy custom AI through fine-tuning cutting-edge base models. It helps unleash the potential of AI on private enterprise data.”

Tim Shi · Co-Founder · Cresta

“The rLLM team is dedicated to pushing the boundaries of autonomous AI, which means our time is best spent on innovation rather than managing backend clusters. The Fireworks Training SDK lets us focus on our research instead of wrestling with infrastructure. The platform is fast, well-optimized, and just works.”

Kyle Montgomery & Sijun Tan · Core Contributors, rLLM · rLLM

“Fireworks enabled us to own our AI journey, and unlock better quality in just four weeks. This resulted in a better user experience for our customers.”

Kay Zhu · CTO · Genspark

“Fireworks has been a key partner in helping us train and serve the models behind Cursor at scale. Their platform supports the high-throughput RL workloads and production inference required for Composer, giving us the speed, reliability, and efficiency to keep pushing the frontier of AI coding.”

Sualeh Asif · CPO · Cursor

“Fireworks has been a fantastic partner in building AI dev tools at Sourcegraph. Their fast, reliable model inference lets us focus on fine-tuning, AI-powered code search, and deep code context, making Cody the best AI coding assistant. They are responsive and ship at an amazing pace.”

Beyang Liu · CTO · Sourcegraph
후기 8건 더 보기

“We've had a really great experience working with Fireworks to host open source models, including SDXL, Llama, and Mistral. After migrating one of our models, we noticed a 3x speedup in response time, which made our app feel much more responsive and boosted our engagement metrics.”

Spencer Chan · Product Lead · Quora

“Fireworks enabled us to own our AI journey , and unlock better quality in just four weeks.”

Kay Zhu · CTO · Genspark

“By partnering with Fireworks to fine-tune models, we reduced latency from about 2 seconds to 350 milliseconds, significantly improving performance and enabling us to launch AI features at scale. That improvement is a game changer for delivering reliable, enterprise-scale AI.”

Sarah Sachs · AI Lead · Notion

“Vercel’s v0 model is a composite model. The SOTA in this space changes every day, so you don’t want to tie yourself to a single model. Using a fine-tuned reinforcement learning model with Fireworks, we perform substantially better than SOTA.”

Malte Ubl · CTO · Vercel

“The aha moment was when we were deciding whether to roll out GLM-5.2 as one of our recommended model options. We felt Fireworks gave us the confidence to do this without reliability concerns. We have a main agent that has access to all of our data that everyone across the company interacts with and asks questions. When we moved this agent from Opus 4.8 to GLM-5.2, nobody noticed a difference in the experience. The outputs were consistent with what we expected, which gave us the confidence to make GLM-5.2 a recommended model option.”

Gonzalo Soto Mallqui · Chief Product Officer · Gumloop

“Using Fireworks on Foundry, we can run repeatable, high-volume evaluations through a single Azure endpoint, which helps our team move faster from deployment to informed model decisions with more confidence.”

Hanbin Jung · Partnership Lead · Motif

“By running Fireworks on Azure Foundry, UiPath powers both Autopilot and Delegate with open models that are significantly faster and more cost-efficient for Computer Use, all while matching the quality of Claude's Sonnet 4.6. It's a step-change in how we deliver AI at scale to our customers.”

Mircea Neagovici-Negoescu · SVP, Head of AI · UiPath

“why did Cursor rollout Composer 2 with @FireworksAI_HQ? "...because it's way more performant than the open source engines and is what we use in production. our rl inference scales elastically and globally because of it. when we have low prod traffic we scale up RL, when we have high prod traffic, we scale down RL."”

Federico Cassano · AI Researcher · Cursor

AI 출시 및 파트너

Fireworks의 AI 출시 현황과 AI 협업 파트너.

  • 출시Voice Agent PlatformFireworks offers voice agents with its own transcription and voice models and lets customers power them with their choice of LLM.
  • 출시Image UnderstandingFireworks serves open vision-language models to extract, classify, and tag images and documents.
  • 출시Multimedia InferenceFireworks offers a stack to process and generate audio, images, PDFs and multimedia AI.
  • 출시Reinforcement LearningFireworks lets users improve model behavior by providing feedback and defining evaluations to run autonomously.

요구하는 기술

채용 중인 공고에서 가장 자주 등장하는 기술.

가장 많이 요구되는 기술

  • Python
  • Kubernetes
  • SQL
  • Salesforce
  • Cloud infrastructure
  • Load testing
  • Model fine-tuning
  • PyTorch
  • Stakeholder management
  • SOX controls
  • NetSuite
  • Docker

기술 스택

CMS
Sanity
라이브러리
Tailwind CSS
분석
Google Tag Manager
Google Analytics 4
프레임워크
Next.js

회사 정보

산업
AI
업종(NAICS)
정보통신업
유사 기업
Anyone AI
웹사이트
fireworks.ai
채용 페이지
fireworks.ai/careers
소셜
LinkedIn · GitHub · X

지역별 포지션

Fireworks의 채용 지역입니다. 도시를 선택하면 해당 포지션을 볼 수 있습니다.

유사 기업

Fireworks와(과) 같은 업계에서 현재 채용 중인 기업입니다.

Fireworks에 관한 질문

Fireworks은(는) 채용 중인가요?
네. 2026년 10월 8일 기준으로 Metaintro에 Fireworks의 공개 포지션이 79 개 있습니다. 최근 30일 동안 25 개가 게시되었습니다. 가장 많은 팀은 Developer (15), Sales (12) 및 Marketing (9)입니다.
Fireworks의 채용 지역은 어디인가요?
Fireworks의 채용 지역은 California, United States, San Mateo, San Francisco, London, New York 및 Singapore이며, 채용 중인 포지션이 가장 많은 곳은 California, United States입니다.
Fireworks에서는 원격 또는 하이브리드 근무가 가능한가요?
채용 중인 포지션 중 34%는 하이브리드, 4%는 원격입니다.
Fireworks의 고객은 누구인가요?
Fireworks에서 고객으로 언급한 곳은 Notion, Cursor, UiPath, Cresta 및 Vercel 등 12곳입니다.
Fireworks에서는 어떤 기술을 찾나요?
채용 중인 포지션에서 가장 자주 요구하는 기술은 Python, Kubernetes, SQL, Salesforce 및 Cloud infrastructure입니다.
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