Machine Learning Engineer
Nextory AB / Elektronikjobb / Stockholm
2025-06-24
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hela Sverige Visa alla jobb hos Nextory AB i Stockholm We know it, you know it. Most companies ramble on about purpose and making the world a better place. And pretty often it feels a bit... well, forced. But we'd like to think that our story is special for real.
Our founders, Shadi Bitar and Ninos Malki, came to Sweden from Syria when they were kids. Books became their compass, guiding them through the maze of life, and helping them shape their destinies in a new world.
Their dream was bold: What if they could unlock the world of books for everyone, making knowledge and inspiration accessible to all? Fast forward a few years, and the tale of Nextory was born.
At Nextory, we've crafted a revolutionary monthly subscription that empowers our users to devour books like never before, be it through reading or listening. It's not just a product; it's a passport to endless adventure and enlightenment.
WHY THIS ROLE MATTERS
We're building intelligent, intuitive features that make discovering the perfect book feel like magic. That means scaling:
AI librarian, our multi-agentic book recommender with chat interface
Content-based recommendations that understand who you are and what you love
Semantic search, powered by language models and vector retrieval
To bring these to life, we need someone who writes clean, production-ready Python, loves experimenting with real-world data, and wants to see their work impact millions of readers. This isn't just about training models - it's about designing systems that deliver them reliably, efficiently, and at scale.
WHAT YOU WILL DO
Ship ML-powered features to production with real user impact
Build and optimize end-to-end ML pipelines for training, serving, and inference
Develop recommendation models using book metadata, embeddings, and behavioral signals
Contribute to our AI librarian's brain -integrating ranking, retrieval, and personalization
Work closely with engineers, product, and data scientists in a tight feedback loop
Integrate models into low-latency APIs and monitor their performance
Ensure systems are robust, scalable, and tested - not just clever in theory
OUR STACK
Languages: Python, SQL
Cloud & MLOps: GCP (Vertex AI, BigQuery), Vertex AI Pipelines
Search & Retrieval: Vertex AI Search, Matching Engine
Infra & Observability: Docker, Kubernetes, Terraform, GCP Monitoring
SKILLS AND QUALIFICATIONS
3+ years of experience as an ML or Software Engineer working on ML systems
Strong Python skills - your code is clean, maintainable, and production-ready
Experience deploying models in real-world environments (not just notebooks)
Hands-on experience with end-to-end ML pipelines (training, evaluation, serving)
Experience with version control, testing, and CI/CD for ML models
Understanding of model evaluation, A/B testing, and performance metrics
Strong problem-solving and debugging skills
Effective communication and collaboration with cross-functional teams
Understanding of ML pipelines, APIs, and model serving at scale
Familiarity with cloud-native tooling (bonus for GCP + Vertex AI)
You're collaborative, pragmatic, and care about impact more than ego
BONUS IF YOU HAVE
Experience building and shipping recommendation systems (collaborative filtering or content-based), semantic search, or chat interfaces
Passionate about personalization, conversational UX, or storytelling
Hands-on experience with natural language processing (NLU and NLG), LLMs and RAG
Familiarity with GCP services, especially Vertex AI, BigQuery, and Cloud Storage
You actually enjoy reading (not required, but you'll fit right in)
Hands-on experience with (multi-)agent systems)
Come join a team that's using machine learning to make the world a little wiser, happier, and more inspired - one book at a time.
WORK ENVIRONMENT AND IMPORTANT DETAILS
At Nextory, we believe a strong and inclusive culture is key to our success - and that culture flourishes when we meet and collaborate in person as much as possible. That's why we spend the majority of the working time at our beautiful office!
We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day.
Please note that we do not offer relocation and that a six-month probationary period applies.
Så ansöker du Sista dag att ansöka är 2025-08-29
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Nextory AB (org.nr 556708-4149)
Norrtullsgatan 6 (
visa karta)
113 29 STOCKHOLM
Arbetsplats Nextory
Jobbnummer 9400980