Senior Machine Learning Engineer - Personalization
Spotify
- Location
- Sweden
- Posted
Optimize machine learning models for production use cases at Spotify, collaborate with a multidisciplinary team, and implement scalable Kubernetes clusters.
Remote Jobs
Senior Quality Engineer
StackAdapt
- Location
- Canada
- Posted
Join StackAdapt as a Quality Engineer to drive software quality through automation, collaborate with teams on CI/CD integration, and contribute to enhancing the platform's reliability. Enjoy competitive compensation, health benefits, mental health support, and professional development opportunities in a remote-friendly environment.
Senior Quality Engineer
StackAdapt
- Location
- United States of America
- Posted
Enhance software quality at StackAdapt by developing and implementing test automation solutions across various platforms. Collaborate with cross-functional teams to ensure high-quality product releases in an agile environment.
Senior iOS Engineer
Goodnotes
- Location
- Malaysia
- Posted
Lead engineer at Goodnotes, building scalable solutions with Swift, SwiftUI, and React.
Senior iOS Engineer
Avara
- Location
- United States of America
- Posted
- Salary Range
- 150k - 250k USD
Lead iOS SDK development for Avara's blockchain products, focusing on fintech and crypto applications. Collaborate with a global team to build impactful solutions in the crypto space.
Senior Support Engineer
MariaDB plc
- Location
- Bulgaria
- Posted
Senior Support Engineer at MariaDB plc - Expert-level technical support services to worldwide customers
Senior/Staff Python Engineer
Hivebrite
- Location
- France
- Posted
Senior Python Engineer at Hivebrite: Develop data processing services using Python, improve matching algorithms & systems, and optimize real-time recommendations.
Senior Analytics Engineer - Mexico
JumpCloud
- Location
- Mexico
- Posted
Senior Analytics Engineer at JumpCloud: drive data modeling, curation, and self-service across the analytics team and organization.
Senior Lead Sales Engineer
StackAdapt
- Location
- Canada
- Posted
Lead technical solutions for enterprise clients at StackAdapt, mentor the Sales Engineering team, collaborate with product teams, develop scalable integrations, and present advanced advertising technology solutions to senior stakeholders. Enjoy competitive benefits including salary, RRSP matching, comprehensive health care, work from home reimbursements, training programs, and a supportive culture.
Senior Lead Sales Engineer
StackAdapt
- Location
- United States of America
- Posted
StackAdapt's Senior Lead Sales Engineer will provide technical leadership to the sales team, driving solutions for enterprise clients while fostering team growth. The role offers competitive benefits and opportunities for professional development.
Senior Java Engineer
Binance
- Location
- Brunei Darussalam
- Posted
Join Binance's KYC team as a Java Developer and contribute to building large-scale software systems and financial products.
Senior Platform Engineer
Zencore
- Location
- Croatia
- Posted
Zencore is seeking a Cloud Engineer experienced in Google Cloud to provide strategic guidance and execute projects related to data and application modernization. The role involves leveraging various cloud technologies and tools while working in a collaborative, remote environment with competitive compensation and benefits.
Senior Platform Engineer
Consensys
- Location
- Cameroon
- Posted
Senior Platform Engineer at Consensys: Contribute to expanding internal developer platform capabilities, deliver high-quality functionality and services, and collaborate with DevOps teams.
Senior Platform Engineer
HiveMQ
- Location
- Germany
- Posted
Join HiveMQ as a Platform Engineer to develop and maintain platform tools and infrastructure, collaborate with cross-functional teams, and drive innovation and growth.
Senior DevSecOps Engineer
Airalo
- Location
- Finland
- Posted
Senior DevSecOps Engineer - Design and implement security solutions across the entire software development lifecycle
Senior DevSecOps Engineer
Red Cell Partners
- Location
- United States of America
- Posted
- Salary Range
- 155k - 185k USD
Senior DevSecOps Engineer for DEFCON AI, leveraging AWS, Kubernetes, Terraform, and CI/CD pipelines to ensure system reliability and security.
Senior Solidity Engineer
Binance
- Location
- Brunei Darussalam
- Posted
Join Binance's blockchain development team as a Senior Solidity Engineer and collaborate on smart contract design & deployment.
Senior Mobile Engineer - MetaMask
Consensys
- Location
- United States of America
- Posted
Mobile developer for Consensys, supporting Android & iOS platform development, collaboration with design & QA teams, and advancing web3 technologies.
Senior QA Engineer
Wasabi Technologies
- Location
- United States of America
- Posted
Join Wasabi as a Senior QA Engineer and work on challenging projects like S3 features and cockroach DB. Use your expertise in testing methodologies and automation frameworks to ensure high-quality software delivery.
Senior QA Engineer
Binance
- Location
- Singapore
- Posted
Senior QA Engineer for Binance's Singapore team, ensuring product safety and quality through rigorous testing and collaboration.
Senior Machine Learning Engineer - Personalization
Spotify
Job Location
Job Summary
The Personalization team at Spotify is seeking a skilled engineer to optimize machine learning models for production use cases. The role involves collaborating with a multidisciplinary team to design and build efficient serving infrastructure, leading the transition of machine learning models from research to production, and implementing scalable Kubernetes clusters. The ideal candidate has expertise in Pytorch, experience with low-level machine learning libraries, and a strong understanding of how to bring machine learning models from research to production. This is a remote opportunity within the European region, offering flexible work arrangements and a chance to contribute to innovative projects.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Discover Weekly to AI DJ, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations – and providing valuable context – to each and every one of them.
Do you want to help Spotify invent new personalized sessions with generative voice AI to delight users? In this role, you’ll work with Spotify’s Text-to-Speech (TTS) team, Speak, to create generated voice audio that enriches users’ experience of music and podcast recommendations.
What You'll Do
Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient and scalable
Design and build efficient serving infrastructure for machine learning models that supports large-scale deployments across different regions
Optimize machine learning models in Pytorch or other libraries for real-time serving and production applications
Lead the effort to transition machine learning models from research and development into production, working closely with researchers and machine learning engineers
Build and maintain scalable Kubernetes clusters to manage and deploy machine learning models, ensuring reliability and performance
Implement and monitor logging metrics, diagnose infrastructure issues, and contribute to an on-call schedule to maintain production stability
Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures
Collaborate with stakeholders to drive forward initiatives related to the serving and optimization of machine learning models at scale.
Who You Are
You have a passion for speech, audio and/or generative machine learning
You have world-class expertise in optimizing machine learning models for production use cases, and extensive experience with machine learning frameworks like Pytorch
You are experienced in building efficient, scalable infrastructure to serve machine learning models, and managing Kubernetes clusters in multi-region setups
You have a strong understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures
You are familiar with writing logging metrics and diagnosing production issues, and are willing to take part in an on-call schedule to maintain uptime and performance
You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and backend engineers to innovate and improve model deployment pipelines
You thrive in environments that require solving complex infrastructure challenges, including scaling and performance optimization
Experience with low-level machine learning libraries (e.g., Triton, CUDA) and performance optimization for custom components is a bonus
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the European region as long as we have a work location.
This team operates within the GMT/CET time zone for collaboration.
Excluding France due to on-call restrictions.
