7 beste vacatures voor de functie van machine learning engineer in amsterdam (nieuwe medewerkers gezocht)

Staff Machine Learning Engineer, ML Efficiency
Reddit —Amsterdam
- Thuiswerk
- Bediening
- Doctor
- Informatica
Snel solliciteren
11 uur
Medior / Senior Data Scientist
Waving B.V. —Amsterdam Zuid
- € 50.000 - € 100.000 per jaar
- Fulltime
- Bachelor
- Elektrotechniek
- Python
Snel solliciteren
1 dag
AI/Data Engineer | Dutch Speaker | Netherlands
Acquism SARL —Amstelveen noord
- Azure
- SQL
- AI
Senior AI/ML Engineer
Optics11 —Amsterdam-Zuidoost
- Fulltime
- Hybride werken
- Master
- Machinaal leren
- AI
Snel solliciteren
Medior Data Scientist – Aviation
CGI —Amsterdam
- Hybride werken
- Azure
- Data-analyse
- Engels
- Winstdeling
- Bovenwettelijk betaald verlof
Snel solliciteren
Lead Data Scientist, Revenue - Ads, Revenue
Vinted —Amsterdam
- € 86.600 - € 127.400 per jaar
- Hybride werken
- Engels
- SQL
- Analytisch vermogen
- Mentale gezondheidszorgprogramma's
- Budget voor professionele ontwikkeling
Graduation Internship Data & AI | AI / Gen AI / AI Engineering
Avanade —Amsterdam
- Verkoopervaring
- DevOps
- Data-analyse

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Senior Data Scientist bij adesso Data & AI
adesso Netherlands —Utrecht
Je werkt samen met data engineers, business analisten en klanten aan oplossingen op het snijvlak van machine learning, cloud en generatieve AI.
Snel solliciteren
Data Scientist / Machine Learning Engineer
Sopra Steria —Nieuwegein
Werken aan innovatieve projecten en producten zoals onze simulaties, digital twins of Large Language Models-as-a-service producten (voor LLM’s zie onze…
€ 4.000 - € 6.000 per maand
Snel solliciteren

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Staff Machine Learning Engineer, ML Efficiency

Reddit -
Amsterdam

Snel solliciteren

Vacaturegegevens

11 uur geleden

Secundaire arbeidsvoorwaarden

Pensioen

Kwalificaties

TensorFlow
Bediening
Cloud infrastructure
Rust
Doctor
Informatica
PyTorch
Spark
Java
Master
C++
Bachelor
Gedistribueerde systemen
Schaalbaarheid
AI
Python
Debuggen

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 126 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.

About the Team

The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company's ML ecosystem.

Responsibilities

Design and build systems that improve the efficiency of ML training and inference workloads.
Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization.
Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
Build benchmarking frameworks and performance dashboards for training and serving systems.
Optimize distributed training infrastructure, data pipelines, and model serving architectures.
Lead cross-functional initiatives that improve the productivity of Reddit ML engineers.
Drive technical strategy for ML platform scalability, reliability, and cost efficiency.

Qualifications

Required

BS, MS, or PhD in Computer Science or a related field.
5+ years of software engineering experience.
Strong proficiency in Python
Profiency in at least one systems language (Go, C++, Rust, or Java) preferred
Experience building distributed systems at scale.
Experience with machine learning infrastructure, training systems, or model serving platforms.
Deep understanding of performance engineering and systems optimization.
Strong debugging and profiling skills.

Preferred

Experience with large-scale recommendation, ranking, generative AI, or foundation model systems.
Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark
Familiarity with GPU architectures and performance analysis tools.
Experience optimizing cloud infrastructure costs across large ML workloads.
Contributions to internal platforms used by multiple ML teams.
Experience with building real time ML inference applications

What Success Looks Like

ML engineers can move from idea to experiment faster.
Training and inference costs decrease, performance increases, while model quality is maintained or improved.
GPU utilization and cluster efficiency increase.
Platform reliability improves as ML workloads scale.
Teams spend less time managing infrastructure and more time building models.
Average recommendation model size increases.

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 amsterdam

Staff Machine Learning Engineer, ML Efficiency

Medior / Senior Data Scientist

AI/Data Engineer | Dutch Speaker | Netherlands

Senior AI/ML Engineer

Medior Data Scientist – Aviation

Lead Data Scientist, Revenue - Ads, Revenue

Graduation Internship Data & AI | AI / Gen AI / AI Engineering

More jobs to discover

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

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