Attiva gli avvisi di lavoro via e-mail!

Senior Machine Learning Engineer

Remotely

Italia

Remoto

EUR 45.000 - 65.000

Tempo pieno

Oggi
Candidati tra i primi

Genera un CV personalizzato in pochi minuti

Ottieni un colloquio e una retribuzione più elevata. Scopri di più

Descrizione del lavoro

A technology solutions provider is seeking an experienced Machine Learning Engineer to enhance the podcast creation experience. The successful candidate will design innovative ML applications and collaborate with a talented team focused on speech processing and user satisfaction. Applicants should have extensive experience in Python, machine learning, and cloud technologies, with a postgraduate degree in a relevant field.

Competenze

  • 5+ years experience in Python.
  • 3+ years experience in machine learning research, with a focus on speech.
  • 3+ years experience training or deploying neural networks.

Mansioni

  • Design and develop machine learning applications and algorithms.
  • Collaborate on multi-functional efforts to build new product features.
  • Drive audio and text capabilities within the ML team.

Conoscenze

Python
Machine Learning
Cloud technologies
Signal processing

Formazione

Postgraduate degree in Machine Learning, Mathematics, Computer Science, or related field

Strumenti

PyTorch
Tensorflow
Scikit-Learn
MongoDB
SQL
Docker
Kubernetes
Descrizione del lavoro
The Role

We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday.

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr.

You’ll join a team of hardworking engineers that are passionate about understanding what drives users’ long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction.

What You'll Do
  • Design, research and develop state-of-the‑art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world
  • Collaborate with engineering partners and colleagues in large multi‑functional efforts to build new product features that advise and enrich Zencastr’s various ML services.
  • Drive forward audio and text capabilities within the ML team
  • Work with some of the brightest minds in signal processing
If This Describes You
  • A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
  • 5 + years experience in Python
  • 3+ years experience in machine learning research, with a focus on speech
  • 3+ years experience training or deploying neural networks
  • Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit‑Learn
  • Experience with building and operating production‑ready ML systems
  • Ability to lead design and implementation of major software components, systems, and features
  • You enjoy quickly building model prototypes
  • Experience with cloud technologies (Google Cloud, AWS, Modal)
  • You are a self‑starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi‑functional efforts from start to finish. You are able to succeed with minimal mentorship and process.
Bonus points if you have
  • Publications in peer‑reviewed journals from a related field
  • Experience with modern speech processing frameworks
  • Good dev ops experience
  • Advanced DSP experience
  • MongoDB or SQL experience
  • Experience with unit, integration, and load testing
  • Experience building APIs
  • Experience with Docker containers, Implementing Docker Containers, Container Clustering
  • Experience with container orchestration technology such as Kubernetes a big plus
Ottieni la revisione del curriculum gratis e riservata.
oppure trascina qui un file PDF, DOC, DOCX, ODT o PAGES di non oltre 5 MB.