16 beste vacatures voor de functie van machine learning engineer in zwanenburg (nieuwe medewerkers gezocht)

Machine Learning Systems Engineer, Ads ML Platform
Reddit —Amsterdam
- Thuiswerk
- Bediening
Snel solliciteren
AI- en Data Science Engineer
IntoData —Amsterdam
- Azure
- AWS
- Bachelor
- Werk vanuit huis
- Flexibele werkuren
Staff ML Engineer - Advertising
eBay Inc. —Amsterdam
- Fulltime
- Doctor
- Informatica
- Master
Staff Machine Learning Engineer, ML Efficiency
Reddit —Amsterdam
- Thuiswerk
- Bediening
- Doctor
- Informatica
Snel solliciteren
Staff Backend Engineer – AI
Stream —Amsterdam
- Fulltime
- Hybride werken
- Kantoor
- ICT
- AI
- Verhuisvergoeding
20 uur
Senior Data Science Analyst - OptimusAI
McKinsey & Company —Amsterdam
- Microsoft Powerpoint
- Microsoft Excel
- Informatica
Medior/Senior AI Engineer | AI-platform | Startup
MatchMatters BV —Amsterdam
- € 4.500 - € 5.500 per maand
- Fulltime
- Azure
- Master
- Databases
- Reiskostenvergoeding
Snel solliciteren
Manager Data Science
Elsevier —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
Senior Research Engineer (Based in Hong Kong)
Flow Traders —Amsterdam
- Informatica
- Azure
- Doctor
Snel solliciteren
Chapter Lead LLM / Agentic Expert
ARNVIND GROUP —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Doctor
- Informatica
Snel solliciteren
Senior Machine Learning Engineer
Picnic —Amsterdam
- Informatica
- Master
- SQL
- Reiskostenvergoeding
Snel solliciteren
AI Engineer
Good Company —Amsterdam
- Online sollicitatie
- Hybride werken
- Azure
- Master
- AWS
- Flexibele werkuren
Senior AI / ML Engineer (MLOps & ML Platform)
Acquism SARL —Amsterdam Centrum
- Azure
- DevOps
- SQL
Senior Machine Learning Engineer
Fill You In —Amsterdam
- Informatica
- Azure
- Analytisch vermogen
1 dag
Senior Machine Learning Engineer / Data Scientist | Financiële Sector
Veneficus B.V. —Amsterdam
- € 3.250 - € 10.000 per maand
- Fulltime
- Hybride werken
- Azure
- Master
- SQL
- Budget voor professionele ontwikkeling
Snel solliciteren
Manager Data Science
RELX —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren

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SEO Economisch Onderzoek —Amsterdam Centrum
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Machine Learning Systems Engineer, Ads ML Platform

Reddit -
Amsterdam

Snel solliciteren

Vacaturegegevens

Secundaire arbeidsvoorwaarden

Pensioen

Kwalificaties

Bediening
Performance tuning
Kubernetes
Spark
Schaalbaarheid
Kafka

Volledige vacaturetekst

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.

Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.

Team Overview

We're building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works on projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management.

We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems.

This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive.

What You'll Do

Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.
Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use.
Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning
Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.
Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management
Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.

What You Bring

3+ years in data infrastructure/platform engineering or ML infrastructure platforms.
Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools.
Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies.
Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving.
Strong coding skills and ability to write clean, maintainable, well-tested code.
Experience building intelligent automation or agentic workflows for ML systems is a strong plus
Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus

Benefits:

Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Private Pension plan with Employer-matching
100% employer-sponsored group medical plan
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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machine learning engineer vacatures in zwanenburg

Machine Learning Systems Engineer, Ads ML Platform

AI- en Data Science Engineer

Staff ML Engineer - Advertising

Staff Machine Learning Engineer, ML Efficiency

Staff Backend Engineer – AI

Senior Data Science Analyst - OptimusAI

Medior/Senior AI Engineer | AI-platform | Startup

Manager Data Science

Senior Research Engineer (Based in Hong Kong)

Chapter Lead LLM / Agentic Expert

Senior Machine Learning Engineer

AI Engineer

Senior AI / ML Engineer (MLOps & ML Platform)

Senior Machine Learning Engineer

Senior Machine Learning Engineer / Data Scientist | Financiële Sector

Manager Data Science

Other jobs to consider

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning engineer in zwanenburg

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