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

ML Software Internship
Veridis —Amsterdam Zuid
- E-mail
- Stage
- Python
- Flexibele werkuren
Data Scientist (ML & Statistical Modelling)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Azure
- Engels
- Telefoonplan
Senior Machine Learning Scientist - Accommodations
Booking.com —Amsterdam Centrum
- Fulltime
- Hybride werken
- Doctor
- Engels
- Master
- Verhuisvergoeding
Junior Quantitative Researcher
BlockTech —Amsterdam
- Fulltime
- Doctor
- Engels
- Master
- Verhuisvergoeding
- Taaltraining aangeboden
Partial Discharge Data Scientist
Optics11 —Amsterdam-Zuidoost
- Fulltime
- Doctor
- Engels
- Master
Snel solliciteren
Senior Machine Learning Engineer – LLMs
Prosus —Amsterdam
- Hybride werken
- Master
- Begeleiding
- AI
Data Scientist (Clinical)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Azure
- Engels
- SQL
- Telefoonplan
Machine Learning Staff Engineer – ADAS Online
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Begeleiding
- AI
- Budget voor professionele ontwikkeling
Snel solliciteren
Senior Machine Learning Engineer
Protolabs —Amsterdam
- Fulltime
- Hybride werken
- ICT
- Communicatieve vaardigheden
- Python
Snel solliciteren
Lead Applied Scientist
TomTom —Amsterdam
- Fulltime
- Hybride werken
- Analytisch vermogen
- Machinaal leren
- Begeleiding
- Budget voor professionele ontwikkeling
Snel solliciteren
Systems Engineer
Tesla —Amsterdam-Zuidoost
- Engels
- SQL
- Projectmanagement
(Senior) Machine Learning Developer (Junie)
JetBrains —Amsterdam
- Engels
- Softwareontwikkeling
Machine learning Engineer
Sia —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Ziekenhuis
- DevOps
Snel solliciteren
Research Engineer
Clever Recruiting —Amsterdam
- Master
- AI
Snel solliciteren
AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Informatica
- Engels
- Master
Senior Data Scientist (ML & Statistical Modelling)
Pacmed —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Azure
- Engels
- Telefoonplan
(Data) Machine Learning Engineer
Good Company —Amsterdam
- Online sollicitatie
- Azure
- DevOps
- Databases
- Winstdeling
- Reiskostenvergoeding
Senior Data Scientist 5 - Media Science
Netflix —Amsterdam
- SQL
- Python
5 dagen
AI ENGINEER (M/F/D)
Canyon Bicycles GmbH —Amsterdam
- Hybride werken
- Azure
- Master
- Databases
11 dagen
Machine Learning Engineer Enterprise Enabling Data Domain
ABN AMRO —Amstelveen
- € 5.304 - € 7.577 per maand
- Online sollicitatie
- Azure
- DevOps
- SQL
- Werk vanuit huis

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ML Software Internship

Veridis -
Amsterdam Zuid

Nu solliciteren

Vacaturegegevens

Stage

Secundaire arbeidsvoorwaarden

Flexibele werkuren

Kwalificaties

Git
OOP
GitHub
Python

Volledige vacaturetekst

Company Information

Veridis is a deep-tech startup developing a novel instrument to improve quality control in plastic recycling: MADSCAN®. This MADSCAN® technology is a thermal analysis technique. This technology can be used to analyse plastics/polymers to give a material characterisation (material type, degradation, etc.). With our MADSCAN® technology we scale up the sample size from conventional technologies by a factor 100.000. This allows us to give a representative analysis of large batches of plastics, thereby increasing the relevance to the recycling industry. With this method we are able to analyse dark plastics, detect material degradation, and most importantly we directly increase the commercial value of recycled plastics.

Veridis has the ambitious goal to create a better future through science and technology. We are trying to create a place of work where scientists and engineers can develop technical opportunities for the benefit of society and climate. To achieve these objectives we are offering an internship with flexible working hours, an informal atmosphere, and a lot of independence and responsibility.

Assignment Description

The candidate will receive a fully implemented, though sub-optimal, Machine Learning pipeline implemented with the principles of Distillation from Weak Teacher (DWT) methodology. The candidate will be requested to do assisted and/or independent research on potential improvements for the pipeline with ultimate target the optimization of the systems’ performance in polymer fraction predictions. The project will include tasks such as model architecture optimization, fine-tuning, visualisation and interpretation of results. The code will be written in Python language and shall follow Software Engineering standards, giving the opportunity to the candidate to learn industrial-scale skills and collaboration best practices.

Intern Profile

You are a creative and curious person who is not afraid of a challenge and working with the inherent uncertainty that novel technological and software development brings. You like taking initiative and contributing new ideas about how to improve. Also, critical thinking and the ability to conceptually interpret thermal measurement data are required. You are able to develop software at an academic level and are capable of communicating the results, problems and next steps clearly.

We are very flexible in time requirements; we would like to fill the internship position full time, but part time is also a possibility.

Responsibilities

Research novel solutions that can improve the performance of the existing MADSCAN ML pipeline.
Write Python code to implement ML solutions and test them based on Software Engineering standards.
Document work in a clean way.
Collaborate using the version control system Git.

Requirements

- Good knowledge of Python or other Object Oriented Programming language.
Good understanding of Machine Learning models such as NNs, RFs, SVMs.
Knowledge of Distillation from Weak Teacher (DWT) methodology.
Ability to conduct independent research of novel advancements in the field that can directly be applied and improve the MADSCAN ML pipeline.
Good communicational skills, team spirit and willingness to learn new things about Machine Learning, Computer Engineering and Data analysis.

Preferences

- Knowledge/Understanding of Thermal Analysis.
Understanding of class and flow diagrams.
Having experience or understanding of Git, GitHub and version control tools.

Note that we can only consider students that are situated in the Netherlands during the duration of the internship. Please send your CV and list of grades to [email protected]

We are constantly improving and advancing in our theoretical research, product development, value proposition, market research, etc. Since this requires a lot of work, we are always looking for people that want to join us in our journey to a better future. Are you interested in working for us or are you looking for an internship? Please contact us via [email protected] or the email listed on the specific vacancy.

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machine learning engineer vacatures in zwanenburg

ML Software Internship

Data Scientist (ML & Statistical Modelling)

Senior Machine Learning Scientist - Accommodations

Junior Quantitative Researcher

Partial Discharge Data Scientist

Senior Machine Learning Engineer – LLMs

Data Scientist (Clinical)

Machine Learning Staff Engineer – ADAS Online

Senior Machine Learning Engineer

Lead Applied Scientist

Systems Engineer

(Senior) Machine Learning Developer (Junie)

Machine learning Engineer

Research Engineer

AI Inference Engineer QVAC (100% remote Worldwide)

Senior Data Scientist (ML & Statistical Modelling)

(Data) Machine Learning Engineer

Senior Data Scientist 5 - Media Science

AI ENGINEER (M/F/D)

Machine Learning Engineer Enterprise Enabling Data Domain

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

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