Remote Jobs

Binance logo

Senior QA Engineer (Cloud)

Binance

Location
Singapore
Posted

Senior QA Engineer (Cloud) job at Binance: Develop high-quality cloud-based products with a talented team.

Emburse logo

Senior Software Engineer I (JavaScript)

Emburse

Location
Spain
Posted

Senior Software Engineer I (JavaScript) at Emburse: Contribute to system solutions with 6+ years of experience and expertise in programming languages like Python, Java, or JavaScript.

Gitlab logo

Senior Backend Engineer (Ruby), Organizations

Gitlab

Location
Anywhere in the world
Posted

Build and enhance GitLab's Organizations feature, collaborate with cross-functional teams, and contribute to a scalable platform while working remotely with comprehensive benefits.

MariaDB plc logo

Senior Server Database Engineer

MariaDB plc

Location
India
Posted

Senior Server Database Engineer at MariaDB: Contribute to open-source database innovation, optimize performance, scalability & reliability.

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Senior C++ Software Engineer

Collabora

Location
United Kingdom
Posted

Enhance open-source software like LibreOffice by fixing document issues, presenting at conferences, and collaborating with a global team. Use C++17 and contribute to the Open Source community while working remotely or traveling globally.

Aircall logo

Senior Software Engineer - Portugal

Aircall

Location
Cameroon
Posted

Senior Software Engineer for Authentication team at Aircall, using NodeJS & Typescripts back-end stacks on AWS

Whatnot logo

Senior Frontend Engineer - China

Whatnot

Location
China
Posted

Senior Frontend Engineer - Growth at Whatnot: Expand new user funnel, build incentivized buyer growth strategy, drive top-line metrics

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Senior Fullstack Software Engineer

CaptivateIQ

Location
Poland
Posted

Senior Fullstack Software Engineer at CaptivateIQ - design & build data platform functionality

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Senior Fullstack Software Engineer

Welocalize

Location
Spain
Posted

Senior Fullstack Software Engineer for global software development team, developing back-end solutions with NodeJS and front-end solutions with VueJS or React.

Kueski logo

Senior Fullstack Software Engineer

Kueski

Location
Mexico
Posted

Join Kueski as a Senior Fullstack Software Engineer and contribute to innovative financial services, with flexible remote work options and equity in a fast-growing company.

Senior Software Engineer, Full-Stack

Phantom

Location
British Virgin Islands
Posted

Full-stack engineer at Phantom developing APIs and user interfaces for a self-custodial wallet with a focus on security, innovation, and user experience.

Buynomics logo

Senior Full Stack Software Engineer

Buynomics

Location
Germany
Posted

Senior Full Stack Software Engineer for SaaS platform with ReactJS, TypeScript, NodeJS, and NestJS expertise

Spotify logo

Senior Machine Learning Engineer - Personalization

Spotify

Job Location

Sweden

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.