Senior Machine Learning Engineer

November 7

Apply Now
Logo of Spotify

Spotify

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

📋 Description

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining ML models for the personalization of the main homepage • Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems • Promote and role-model best practices of ML systems development, testing, evaluation, etc.

🎯 Requirements

• You have a strong background in machine learning • expertise in statistics and optimization • hands-on experience with large cross-collaborative machine learning projects • hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages • Experience with TensorFlow, PyTorch, Scikit-learn, etc. • experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark • care about agile software processes, data-driven development, reliability, and disciplined experimentation

🏖️ Benefits

• health insurance • six month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • 13 paid flexible holidays • paid sick leave

Apply Now

Similar Jobs

November 7

AI/ML Engineer driving product innovation and delivering high-impact results for vidIQ. Collaborating with cross-functional teams to establish architecture and implement machine learning solutions.

Airflow

Docker

DynamoDB

Kafka

Kubernetes

NoSQL

Postgres

Python

RDBMS

Spark

November 7

Machine Learning Engineer II at Kohl's working on machine learning-based solutions and internal tools. Supporting cross-functional teams and mentoring junior engineers.

Airflow

BigQuery

Cloud

ETL

Google Cloud Platform

Python

PyTorch

Scikit-Learn

Spark

SQL

Tensorflow

November 6

Senior MLOps Engineer designing and building systems for AI capabilities at Clariti Cloud. Leading ML infrastructure development to ensure efficient model production and deployment.

AWS

Azure

Cloud

Docker

Google Cloud Platform

Jenkins

Kubernetes

Python

November 6

Senior Staff Machine Learning Engineer building end-to-end systems for personalization at Reddit. Leading technical direction and mentoring engineers in a critical role.

November 6

Machine Learning Engineer at Zillow creating AI-powered experiences for customers. Collaborating with teams to prototype and deploy machine learning applications.

ETL

Python

PyTorch

Scikit-Learn

Spark

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com