Advertising Technology

Machine Learning Systems Engineer, Ads ML Platform

Reddit · London

CORE_AI_JOBgreenhouse2026-06-24

Machine Learning MLOps Data Pipelines Feature Engineering Data Infrastructure ML Platforms Spark Kafka Kubernetes BigQuery Airflow Ray

Warum echter KI-Job:
The role is focused on building and scaling the data infrastructure and platforms that power machine learning for Ads. The tasks directly involve feature engineering, training data pipelines, and ML lifecycle management.

Auszug

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 approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work re…

Ähnliche Jobs

Manager, Machine Learning Research Scientist, GenAI

Scale AI · San Francisco, CA

98/100

San Francisco, CAUSAgreenhouse2026-06-08

Machine Learning Generative AI Research Science Deep Learning Agent/RL Systems Evaluation Methodologies Post-Training Agentic/RL Environments Large Language Models

Warum echter KI-Job: Die Rolle ist eindeutig auf führende Forschung in KI, insbesondere in Generative AI, Agenten und RL-Systemen ausgerichtet. Die Aufgaben beinhalten die Leitung einer Forschungsgruppe, die Entwicklung von Forschungsroadmaps und die Umsetzung von Prototypen in r…

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontie…

Details Quelle / Bewerbung öffnen

Staff Machine Learning Research Scientist, LLM Evals

Scale AI · San Francisco, CA

98/100

San Francisco, CAUSAgreenhouse2026-06-04

Machine Learning Large Language Models (LLMs)NLP Transformer Modeling Evaluation Methodologies Benchmarking ML Research MLOps Reproducible Pipelines AI Research Publication

Warum echter KI-Job: Die Rolle ist zentral auf die Entwicklung und Forschung von Evaluationsmethoden fuer LLMs ausgerichtet. Die Aufgaben beinhalten die Gestaltung von Benchmarks, die Entwicklung von Metriken, die Implementierung skalierbarer Pipelines und die Veröffentlichung vo…

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigoro…

Details Quelle / Bewerbung öffnen

Principal Machine Learning Engineer, App SW

Wayve · Sunnyvale, California USA

98/100

Sunnyvale, California USAUKgreenhouse2026-05-28

Machine Learning Deep Learning Model Architecture Data Pipelines Evaluation Frameworks Real-world Deployment MLOps PyTorch Python C++

Warum echter KI-Job: Die Rolle eines Principal ML Engineers bei Wayve ist klar auf die Entwicklung und Bereitstellung leistungsstarker, robusten und generalisierbaren ML-Modelle für autonome Fahrzeuge ausgerichtet. Die Aufgaben umfassen die gesamte Kette von Modellarchitektur, Da…

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…

Details Quelle / Bewerbung öffnen

Sr. Machine Learning Engineer

Databricks · San Francisco, California

98/100

San Francisco, CaliforniaUSAgreenhouse2026-05-26

Machine Learning LLM (Large Language Models)GenAI (Generative AI)Fine-tuning Prompt Engineering RAG (Retrieval-Augmented Generation)MLOps Model Deployment Python TensorFlow

Warum echter KI-Job: Die Rolle eines Senior Machine Learning Engineers bei Databricks ist stark auf die Entwicklung und Bereitstellung von GenAI-Produkten ausgerichtet. Die Aufgaben beinhalten die Entwicklung von LLMs, die Gestaltung von AI-Features, die Erstellung von ML-Pipelin…

P-1131 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products ar…

Details Quelle / Bewerbung öffnen

Senior Machine Learning Engineer, Search & Recommendations

Instacart · San Francisco

95/100

San FranciscoUSAgreenhouse2026-06-24

Machine Learning Ranking Systems Recommendation Systems Multi-Task Learning Deep Learning TensorFlow PyTorch Causal Inference LLM Data Modeling

Warum echter KI-Job: The role is fundamentally focused on building and improving machine learning models for ranking, recommendations, and search. The description explicitly mentions core AI/ML concepts and techniques (multi-task learning, causal inference, LLMs) as central to th…

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless o…

Details Quelle / Bewerbung öffnen

Senior Machine Learning Engineer, Operations Research

Instacart · Remote - United States

95/100

Remote - United StatesUSAgreenhouse2026-06-24

Machine Learning Python SQL Pandas scikit-learn XGBoost Keras Tensorflow Operations Research Mathematical Programming

Warum echter KI-Job: The role explicitly focuses on designing, developing, and deploying machine learning solutions for core logistics problems (order batching, routing, prediction). The required skills and experience heavily emphasize ML and OR techniques.

Details Quelle / Bewerbung öffnen