5 beste vacatures voor de functie van java solution in amsterdam, nh (nieuwe medewerkers gezocht)

Sr Software Engineer
Uber ORC —Amsterdam
- Fulltime
- Bediening
- Doctor
- Informatica
Senior Data Science Consultant
Sia —Amsterdam Oost
- Fulltime
- Hybride werken
- Doctor
- Engels
- Java
Snel solliciteren
Senior Development Tooling Engineer
Adyen —Amsterdam
- Java
- Linux
- Ter plaatse
Lead Tech Advisory
KPMG Nederland —Amstelveen
- € 5.000 - € 8.000 per maand
- Hybride werken
- Engels
- Kantoor
- Java
- Bedrijfsfitness
Snel solliciteren
Senior ML Engineer (JetBrains Research)
JetBrains —Amsterdam
- Java
- ICT
- AI

More jobs to discover

Find similar jobs that you might be interested in.

Principal Consultant - Data Engineer
Data Science Lab. —Amsterdam
Kennis van relevante wet- en regelgeving (AVG/GDPR). Jij bent verantwoordelijk voor de technische visie, innovatie en de inhoudelijke producten van ons Data…
€ 5.500 - € 8.500 per maand
Consultant Forensic Technology & Digital Forensics
EY —Amsterdam
Een bachelor- of masterdiploma op het gebied van (Forensische) informatietechnologie (IT), Cybersecurity, Business IT, Computer Science of een andere relevante…

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van java solution in amsterdam, nh

Door in te loggen op je account, ga je akkoord met de Algemene voorwaarden van SimplyHired en stem je in met ons Cookie- en Privacybeleid.

Sr Software Engineer

Uber ORC
Amsterdam

Nu solliciteren

Vacaturegegevens

Fulltime

Kwalificaties

Bediening
Doctor
Informatica
Spark
Apache Hive
Onderzoek
Java
Master
Microservices
Bachelor
Scala
Deep learning
Managementervaring
Communicatieve vaardigheden
Python

Volledige vacaturetekst

About the Role
The Places Data Team owns Uber's "Ground Truth" - the definitive dataset of POIs, Addresses, Building Footprints, and Entrances that powers the core of every journey: the beginning and the end. Without accurate place data, a ride doesn't start, and a courier can't deliver.

We operate at massive scale (billions of places), solving inference and conflation problems using ML to match and summarize data from dozens of providers. As a Senior ML Engineer, you'll build production ML systems focusing on places matching, attributes inference, summarization, friction detection, etc.

What the Candidate Will Do

Design, develop and productionize end-to-end ML solutions for places data conflation (POI, addresses, BFP, etc.) and attribute inference using a mix of classical ML, deep learning, and generative AI.

Collaborate with product, science, and engineering teams to execute on the technical vision and roadmap.

Conduct rigorous experimentation and A/B testing to validate model performance and iterate on improvements.

Own projects from initial mathematical formulation through to prototyping, algorithm implementation, and large-scale experimentation in production.

Raise the technical bar for the team. You will mentor L3/L4 engineers, lead complex code reviews, and foster a culture of engineering excellence and scientific rigor.

Basic Qualifications

Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact.

4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions.

Proficiency in programming languages such as Python, Scala, Java, or Go.

Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures.

Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps.

Preferred Qualifications

Deep understanding of CS fundamentals, software engineering principles, and modern development methodologies.

Direct experience in GIS, matching algorithms.

Expertise in large-scale data systems like Spark, Hive, and Presto.

Experience building and optimizing gradient boosting and deep learning models.

Background in Optimization or Causal Inference applied to business problems.

Exceptional problem-solving, critical thinking, and communication skills, with the ability to influence leadership and present complex technical trade-offs to non-technical stakeholders.

~~ ~~

Nu solliciteren

Verfijn je zoekopdracht

java solution vacatures in amsterdam, nh

Sr Software Engineer

Senior Data Science Consultant

Senior Development Tooling Engineer

Lead Tech Advisory

Senior ML Engineer (JetBrains Research)

More jobs to discover

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van java solution in amsterdam, nh

Related Searches

Job Seeker-tools

Werkgeverstools

Bladeren

Blijf verbonden