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Senior ML Engineer, AdTech - Real-Time Ad Platform

Roku, Inc.
Salford, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Machine Learning Tensorflow Azure Machine Learning Software Engineering Apache Spark

Requirements

Responsibilities include developing ML platforms and collaborating with cross-functional teams. Candidates should have a strong background in machine learning and software development, with familiarity in tools like Spark and TensorFlow.

Benefits & conditions

Roku offers a hybrid work approach and a comprehensive benefits package, supporting flexible work arrangements and diverse health resources. #J-18808-Ljbffr

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This job is hosted externally. Click below to view the full posting and apply.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:33 min

Real-world implementations of browser-based machine learning

Håkan Silfvernagel · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:07 min

Optimizing performance marketing budgets for recruitment advertisement channels

Jens Echterling Jens Echterling · World Congress 2025

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer · World Congress 2021

Videos

See all
Machine learning in the browser with TensorFlowjs thumbnail
38:24
LIVE • over 5 years ago

Machine learning in the browser with TensorFlowjs

HÃ¥kan Silfvernagel

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Building the platform for providing ML predictions based on real-time player activity thumbnail
30:57
World Congress 2024 • about 2 years ago

Building the platform for providing ML predictions based on real-time player activity

Artem Volk, Fabian Zillgens

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale) thumbnail
27:23
World Congress 2023 • almost 3 years ago

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Dora Petrella

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
World Congress 2022 • about 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

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