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 Fullstack Engineer
Apollo.io
- Location
- India
- Posted
Design, implement, test, deploy and iterate on end-to-end features in our products covering both frontend and backend. Implement 'pixel perfect' design as delivered by our designers that works across different browsers, according to specifications provided. Produce 'clean' and well-structured code, with detailed specifications and documentation. Help maintain code quality, organization, automation, and continuous delivery. Effectively communicate development progress or blockers to the product lead, engineering manager, and other stakeholders. Work effectively as part of a large global team. Attend and engage in scrum ceremonies, on-call, and other team processes. Write unit/integration tests and contribute to engineering wikis.
Senior FinOps Engineer
Upwork
- Posted
- Salary Range
- 122k - 174k USD
Optimize cloud spending and drive financial efficiency at Upwork as a Senior FinOps Engineer by collaborating with cross-functional teams, creating reporting dashboards, and fostering cost-conscious culture. Apply now to make a tangible impact on the bottom line.
Senior/Staff DevOps Engineer
Binance
- Location
- Brunei Darussalam
- Posted
Senior DevOps Engineer for cloud-based micro-service infrastructure, automating operational activities and providing on-call support.
Senior/Staff DevOps Engineer
Binance
- Location
- Brunei Darussalam
- Posted
Senior DevOps/DevOps Architect needed for large-scale infrastructure management at Binance
Senior Frontend Engineer
Apollo.io
- Location
- India
- Posted
Work as a Senior Frontend Engineer at Apollo, contributing to core product initiatives with a focus on quality, automation, performance improvements, and innovative ideas. Collaborate with cross-functional teams using React, Redux, Node.js, Ruby on Rails, MongoDB, Elasticsearch, Kubernetes, Docker, Ansible, and Terraform.
Senior Frontend Engineer
Apollo.io
- Location
- India
- Posted
Senior Frontend Engineer at Apollo: Drive innovation and improvement with React, Redux, JavaScript, and TypeScript.
Senior Frontend Engineer
LI.FI
- Location
- Cameroon
- Posted
Senior Frontend Engineer position at LI.FI with focus on React development, MUI, Figma, and Web3 standards
Senior Frontend Engineer
Binance
- Location
- Brunei Darussalam
- Posted
Senior Frontend Engineer: Develop impactful computer vision features with Roboflow tools
Senior Frontend Engineer
Binance
- Location
- Brunei Darussalam
- Posted
Senior Frontend Engineer for web framework development at Binance
Senior Frontend Engineer
Typeform
- Location
- Cameroon
- Posted
Senior Frontend Engineer at Typeform: Develop high-quality React applications with TypeScript, collaborate on web apps & developer portals, and ensure exceptional customer experience.
Senior Frontend Engineer
Perspective.co
- Location
- Brunei Darussalam
- Posted
Senior Front-end Engineer at Perspective: Build beautiful UI components, elevate frontend topics, and contribute to a fast-growing marketing software company with flexible remote work options.
Senior Frontend Engineer
RevenueCat
- Location
- Brazil
- Posted
- Salary Range
- 212k - 212k USD
Senior Frontend Engineer for Web team, designing & shipping user experiences with React, TypeScript/JavaScript, and RESTful APIs.
Senior Frontend Engineer
Signifyd
- Location
- United States of America
- Posted
- Salary Range
- 180k - 200k USD
Senior Frontend Engineer at Signifyd: drive the future of front end architecture and tools with excellent programming skills in Typescript/Javascript
Senior FullStack QA Engineer
CoinsPaid
- Location
- Croatia
- Posted
Senior FullStack QA Engineer at CoinsPaid: Join a remote-first team working on innovative crypto payment solutions
Senior QA Engineer - Futures
Binance
- Location
- Brunei Darussalam
- Posted
Senior QA Engineer at Binance: Collaborate on software development lifecycle, testing environments, and complex projects.
Senior Solutions Engineer
Postman
- Location
- United States of America
- Posted
- Salary Range
- 180k - 180k USD
Partner Engineer at Postman API Network - Collaborate with publishers to implement technical solutions and accelerate API adoption
Senior Solutions Engineer
Postman
- Location
- United States of America
- Posted
- Salary Range
- 180k - 180k USD
Partner Engineer role at Postman, collaborating with publishers to implement technical solutions and accelerate API adoption on the Postman API Network.
Senior Solutions Engineer
Grafana Labs
- Location
- Australia
- Posted
Solutions Engineer at Grafana Labs: Partner with Sales teams, deliver product presentations, and collaborate on documentation.
Senior QA Engineer - Blockchain
Binance
- Location
- Japan
- Posted
Senior QA Engineer - Blockchain - Automate backend testing, collaborate with developers & product managers, and deliver high-quality products for Binance's blockchain ecosystem.
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.
