Remote Jobs

GuidePoint Security logo

Senior Google Cloud Security Engineer

GuidePoint Security

Location
United States of America
Posted

Senior Google Cloud Security Engineer responsible for securing Google Cloud infrastructure, developing cloud strategies, and ensuring scalability and reliability.

Binance logo

Senior Java Engineer - Growth Tech

Binance

Location
Brunei Darussalam
Posted

Senior Java Engineer at Binance: Develop financial & marketing products, build large-scale software systems, and collaborate with world-class talent.

LI.FI logo

Senior Backend Engineer (Cross-Chain Solver)

LI.FI

Location
Cameroon
Posted
Salary Range
120k - 170k USD

Senior Backend Engineer (Cross-Chain Solver) at LI.FI - Design high-performance cross-chain solvers, develop pricing algorithms, and collaborate with smart contract developers.

Signifyd logo

Senior Partner Manager

Signifyd

Posted
Salary Range
118k - 145k USD

Develop strategic partnerships with top ecommerce platforms and financial institutions as Senior Channel Manager at Signifyd. Drive revenue growth through joint business plans, stakeholder engagement, and technical selling expertise.

Binance logo

Senior QA Engineer - Growth Tech

Binance

Location
Japan
Posted

Senior QA Engineer at Binance: Develop high-quality products with a user-centric approach, collaborate with global teams, and drive innovation in blockchain technology.

Aircall logo

Senior Software Engineer Backend/AI - Portugal

Aircall

Location
Cameroon
Posted

Senior Software Engineer Backend/AI at Aircall: Design AI features for Voice, prioritize security & scalability, collaborate with diverse teams.

Vercel logo

Senior Customer Success Engineer, EMEA

Vercel

Location
Cameroon
Posted

Senior Customer Success Engineer at Vercel: resolve customer concerns, create internal tooling, and engineer solutions for personalized web experiences.

Aircall logo

Senior Solutions Engineer, Partnerships - EMEA

Aircall

Location
Cameroon
Posted

Senior Solutions Engineer - EMEARemote Sales & Partnerships – Support partnerships, provide technical enablement and knowledge sharing, collaborate with key strategic partners on a global scale.

Binance logo

Web3 Security Senior Software Engineer

Binance

Location
Brunei Darussalam
Posted

Web3 Security Senior Software Engineer at Binance: design & implement backend systems, collaborate with teams, & drive security innovation.

CAST AI logo

Senior Technical Support Engineer – EMEA

CAST AI

Location
Cameroon
Posted

Provide technical support and troubleshooting for Kubernetes platforms at CAST AI. Collaborate with customers to resolve complex issues, contribute to knowledge sharing, mentor team members, and participate in on-call rotations. Enjoy remote work within EMEA, equity, and a focus on customer satisfaction.

Plaid logo

Senior Accountant (GL)

Plaid

Location
United States of America
Posted

Senior Accountant (GL) at Plaid: Perform month-end close activities, account reconciliations, and financial record maintenance.

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.