Machine Learning Intern — Hybrid Dublin

Pinterest; Dublin; Presencial; EUR 56 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Relocation assistance

Hybrid work option

Resumo da oferta

Pinterest in Dublin is offering a Machine Learning Intern role where you will work with engineering, product and data teams to prototype, evaluate and improve ML-powered features. You will contribute to real projects and learn how large-scale ML systems are developed under guidance from experienced engineers.

You will apply ML techniques across discovery, ads and search, with opportunities to work on NLP and graph-based ranking problems.

Qualificações

• Pursuing Master’s or PhD in CS/ML/NLP/Statistics or related field.
• Experience with ML ranking, computer vision, NLP or recommender systems.
• Proficiency with big data tech (Hadoop/Spark) and scalable streaming systems.

Responsabilidades

• Own scoped ML project from problem definition through experimentation and results communication.
• Contribute to applied ML and AI research informing product experiences.
• Collect, analyze and synthesize data to develop ML models.
• Write clean, maintainable code with proper documentation and tests.
• Apply ML techniques (NLP, graph methods) to ranking and discovery problems.
• Break down tasks and implement solutions with team guidance.
• Deliver milestones and share progress with the team.

Conhecimentos

Python

Java/C++

NLP

Big data (Hadoop/Spark)

ML frameworks (TensorFlow, PyTorch, ML

Formação académica

Master's or PhD in Computer Science / ML / NLP / Statistics or related field

Ferramentas

TensorFlow

PyTorch

MLFlow

Descrição da oferta de emprego

Pinterest in Dublin is offering a Machine Learning Intern role where you will work with engineering, product and data teams to prototype, evaluate and improve ML-powered features. You will contribute to real projects and learn how large-scale ML systems are developed under guidance from experienced engineers.

You will apply ML techniques across discovery, ads and search, with opportunities to work on NLP and graph-based ranking problems.