Fireworks
AI
Fireworks’ state of the art training and inference platform take you beyond the frontier, transforming open models into your specialized intelligence.
Fireworksは採用中ですか？
はい。2026年10月8日時点で、Metaintro にはFireworksの募集中のポジションが79 件あります。 過去30日間に25 件が掲載されました。
募集中のポジション
新しい順。求人に記載がある場合は給与を表示します。
募集中のポジション
採用パターン
Fireworks が募集をどれだけのペースで増やしているか、そして勤務形態の内訳。
月別の新規募集その月に初めて掲載された求人
募集の勤務形態募集中ポジションに占める割合
顧客
Fireworks が顧客として挙げている 12 社すべて。
顧客の声
Fireworks の顧客企業の担当者による声。
“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.”
“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.”
“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.”
“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.”
“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.”
さらに 8 件の声を表示表示を減らす
“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.”
“Fireworks enabled us to own our AI journey , and unlock better quality in just four weeks.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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."”
AI のローンチと提携
Fireworks が AI 分野でローンチしたものと協業先。
- ローンチVoice Agent PlatformFireworks offers voice agents with its own transcription and voice models and lets customers power them with their choice of LLM.
- ローンチImage UnderstandingFireworks serves open vision-language models to extract, classify, and tag images and documents.
- ローンチMultimedia InferenceFireworks offers a stack to process and generate audio, images, PDFs and multimedia AI.
- ローンチReinforcement LearningFireworks lets users improve model behavior by providing feedback and defining evaluations to run autonomously.
求められるスキル
募集中の求人で最も多く見られるもの。
最も求められるスキル
- Python
- Kubernetes
- SQL
- Salesforce
- Cloud infrastructure
- Load testing
- Model fine-tuning
- PyTorch
- Stakeholder management
- SOX controls
- NetSuite
- Docker
技術スタック
- CMS
- Sanity
- ライブラリ
- Tailwind CSS
- アナリティクス
- Google Tag Manager
- Google Analytics 4
- フレームワーク
- Next.js
企業情報
- 業界
- AI
- 業種（NAICS）
- 情報通信業
- 同業他社
- Anyone AI
- ウェブサイト
- fireworks.ai
- 採用ページ
- fireworks.ai/careers
勤務地別の募集
Fireworks の採用拠点。都市を選ぶとその募集が表示されます。
類似企業
Fireworksと同じ業界で現在採用中の企業。
Fireworks に関する質問
- Fireworksは採用中ですか？
- はい。2026年10月8日時点で、Metaintro にはFireworksの募集中のポジションが79 件あります。 過去30日間に25 件が掲載されました。 最も多いのは Developer（15）、Sales（12）、Marketing（9） です。
- Fireworks はどこで採用していますか？
- Fireworks は California, United States、San Mateo、San Francisco、London、New York、Singapore で採用しており、募集中のポジションが最も多いのは California, United States です。
- Fireworks はリモートやハイブリッド勤務に対応していますか？
- 募集中のポジションのうち 34% がハイブリッド、4% がリモートです。
- Fireworks の顧客にはどのような企業がありますか？
- Fireworks は Notion、Cursor、UiPath、Cresta、Vercel など 12 社を顧客として挙げています。
- Fireworks はどのようなスキルを求めていますか？
- 募集中のポジションで最も多く求められているのは Python、Kubernetes、SQL、Salesforce、Cloud infrastructure です。