AI Job Radar

Feature Engineering Jobs – Seite 4

Aktuelle KI-Jobs mit Feature Engineering, passende Lernpfade und Bewerbungsbezug.

Wie du Feature Engineering für Bewerbungen nutzt

Wenn ein Job Feature Engineering 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.

43
Treffer
14
Unternehmen
94.3
Durchschn. Score
18
Remote

10 Treffer auf dieser Seite. Insgesamt 43 Treffer. Weitere Treffer sind über die Seitennavigation, Firmen-, Skill- und Jobdetailseiten erreichbar.

Machine Learning Engineer

Twilio · Remote - US

95/100
Remote - USUSAgreenhouse2026-07-10

Warum echter KI-Job: The role explicitly focuses on building and operating the data and ML infrastructure that powers customer interactions. Responsibilities are heavily centered around ML lifecycle, data pipelines, model deployment, and monitoring - core AI/ML engineering tasks.

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work ,…

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Data Science Manager, Machine Learning - Lyft Ads

Lyft · New York Office, San Francisco Office

95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-07

Warum echter KI-Job: The role explicitly focuses on leading a team building the algorithmic backbone of an advertising platform, designing and deploying ML systems for core advertising capabilities (targeting, optimization, measurement), and establishing experimentation framework…

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. ML & Data Science is at the heart of Lyft's products and decision-making. ML and Data Science professionals at Lyft operate in dyn…

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Data Science Manager, Machine Learning - Lyft Ads

Lyft · New York Office, San Francisco Office

95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-07

Warum echter KI-Job: The role explicitly focuses on leading a team building the algorithmic backbone of an advertising platform, designing and deploying ML systems for core advertising capabilities (targeting, optimization, measurement), and establishing experimentation framework…

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. ML & Data Science is at the heart of Lyft's products and decision-making. ML and Data Science professionals at Lyft operate in dyn…

Details Quelle / Bewerbung öffnen

Machine Learning Engineer

Reddit · San Francisco

95/100
San FranciscoUSAgreenhouse2026-07-06

Warum echter KI-Job: The role explicitly focuses on designing, building, and deploying machine learning models for ad ranking, bidding, and optimization. It requires deep expertise in ML lifecycle management, feature engineering, and serving systems. The skills listed are heavily…

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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Principal Machine Learning Engineer

Zscaler · Office - San Jose, USA

95/100
Office - San Jose, USAUSAgreenhouse2026-06-28

Warum echter KI-Job: The role explicitly focuses on designing, developing and deploying AI/ML systems for cybersecurity applications. The job description heavily emphasizes ML engineering tasks and advanced AI techniques.

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…

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San Francisco HQUSAFullTimeashby2026-06-26

Warum echter KI-Job: The role explicitly focuses on building and deploying foundation models, conducting ML research with production delivery, working across the full ML stack, and leveraging a unique financial dataset. The core responsibilities are deeply rooted in AI/ML.

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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Senior Machine Learning Engineer, Menu Personalization

HelloFresh · Warszawa, Masovian Voivodeship, Poland

95/100
Warszawa, Masovian Voivodeship, PolandGermanygreenhouse2026-06-25

Warum echter KI-Job: The role is explicitly focused on building and operating machine learning systems for menu personalization, owning the entire ML stack from feature pipelines to model serving and experimentation. The job description heavily emphasizes ML engineering tasks and…

About HelloFresh At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10-year anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. N…

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Data Scientist - Algorithms, Mapping

Lyft · Toronto Coworking

90/100
Toronto CoworkingUSAgreenhouse2026-09-10

Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for mapping, routing, and travel time estimation. Responsibilities heavily emphasize the full ML lifecycle, from data exploration to production systems. The job description clearly…

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. As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers…

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AmsterdamUSAgreenhouse2026-08-27

Warum echter KI-Job: The role is explicitly focused on building and scaling ML infrastructure for Ads, including feature management, training datasets, and automated workflows. It requires deep understanding of ML data flows and MLOps principles.

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…

Details Quelle / Bewerbung öffnen

AmsterdamUSAgreenhouse2026-08-27

Warum echter KI-Job: The role is explicitly focused on building and scaling ML infrastructure for Ads, including feature management, training datasets, and automated workflows. It requires deep understanding of ML data flows and MLOps principles.

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…

Details Quelle / Bewerbung öffnen