AI Job Radar

Spark Jobs

Aktuelle KI-Jobs mit Spark, passende Lernpfade und Bewerbungsbezug.

Wie du Spark für Bewerbungen nutzt

Wenn ein Job Spark verlangt, sollte der Skill nicht nur als Stichwort im CV stehen. Besser sind ein kurzer Projektbeleg, ein Kursnachweis oder ein Portfolio-Beispiel. Für den Bewerbungscheck wird geprüft, ob der Skill in deinem Lebenslauf wirklich belegbar ist.

39
Treffer
11
Unternehmen
92.8
Durchschn. Score
11
Remote

10 Treffer auf dieser Seite. Insgesamt 39 Treffer. Weitere Treffer sind über die Seitennavigation, Firmen-, Skill- und Jobdetailseiten erreichbar.

Remote CanadaUSAgreenhouse2026-07-31

Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for fraud prediction, requiring extensive experience in ML techniques, data processing, and model lifecycle management. The job description heavily emphasizes core AI/ML tasks.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting…

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Staff Machine Learning Platform Engineer

Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON

95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-07-31

Warum echter KI-Job: The role is explicitly focused on building and operating a scalable ML platform, productionizing ML workloads, and supporting data scientists in deploying models. The tech stack heavily emphasizes ML tools and infrastructure.

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…

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Staff Machine Learning Platform Engineer

Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON

95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-07-31

Warum echter KI-Job: The role is explicitly focused on building and operating a scalable ML platform, productionizing ML workloads, and supporting data scientists. The tech stack heavily emphasizes ML tools and infrastructure.

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…

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Senior Staff Machine Learning Platform Engineer

Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON

95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-07-31

Warum echter KI-Job: The role is explicitly focused on building and scaling an ML platform, defining standards for MLOps, and leading initiatives to improve data science velocity. The job description heavily emphasizes technical expertise in machine learning infrastructure.

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…

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Machine Learning Engineer - Credit

Plaid · San Francisco HQ

95/100
San Francisco HQUSAFullTimeashby2026-07-31

Warum echter KI-Job: The role explicitly focuses on building, deploying, and monitoring machine learning models for credit risk assessment. The job description heavily emphasizes ML techniques and the full model lifecycle.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…

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Machine Learning Engineer

Adyen · Bengaluru

95/100
BengaluruGermanygreenhouse2026-07-31

Warum echter KI-Job: The role explicitly focuses on designing, productionizing, and maintaining machine learning services. The job description details tasks directly related to building ML pipelines, models, and infrastructure.

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opp…

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Machine Learning Engineer

Robinhood · [ProspectLand]

95/100
[ProspectLand]USAgreenhouse2026-07-31

Warum echter KI-Job: The role explicitly focuses on the development, implementation, and evaluation of machine learning models for core products. The job description details specific ML techniques (Collaborative Filtering, LTR, Reinforcement Learning) and technologies used in pro…

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic c…

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Seattle OfficeUSAgreenhouse2026-07-31

Warum echter KI-Job: The role explicitly focuses on leading technical initiatives in machine learning, algorithm development, and production deployment of ML models. Responsibilities are overwhelmingly centered around building and scaling AI-powered solutions.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…

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Seattle OfficeUSAgreenhouse2026-07-31

Warum echter KI-Job: The role explicitly focuses on leading ML initiatives, building production models, and driving algorithmic innovation. Responsibilities are overwhelmingly centered around data science tasks.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…

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Senior Data Scientist, Ads

Reddit · Remote - United States

95/100
Remote - United StatesUSAgreenhouse2026-07-31

Warum echter KI-Job: The role explicitly focuses on developing and applying data science solutions to improve the advertising platform, with a strong emphasis on machine learning models and statistical analysis. Responsibilities are heavily weighted towards core AI/ML tasks.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

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