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Publié il y a 9 jours

Machine Learning Engineer

@ Syntrace

Toutes ses offres

Toronto, Ontario

Temps plein3+ ans d’expérience
Postuler
SIGNAUX

En bref

Syntrace is hiring a full-time Machine Learning Engineer in Toronto to build and improve models and pipelines for transcription, speaker attribution, extraction and synthesis. The role includes designing evaluations and running experiments. The posting asks for several years of production ML experience and strong Python.

Responsabilités :

  • Build and improve models and pipelines for transcription, speaker attribution, extraction and synthesis
  • Design evaluations that measure whether models work
  • Run experiments to improve model accuracy

Résumé des exigences :

  • Several years building machine learning systems in production
  • Strong Python and experience with modern deep learning frameworks
  • Disciplined approach to evaluation

Outils et compétences

Python
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-01
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience3 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Offres sur Jobsy1
Description

Syntrace builds conversational knowledge for institutional investors. We capture, organize and synthesize private conversations into source-backed knowledge a firm can build on.

We are now hiring a Machine Learning Engineer, based in Toronto.

You will build and improve the models and pipelines behind everything we surface: transcription, speaker attribution, extraction and synthesis. You will design the evaluations that tell us when it works, and run the experiments that make it better.

Our users trust us with the most sensitive conversations they have. That makes security part of the product, not a feature on top of it.

What you bring:

- Several years building machine learning systems in production.

- Strong Python and experience with modern deep learning frameworks.

- A disciplined approach to evaluation.

What you get:

- A founding role with real ownership.

- A senior team that has scaled companies before.

- Hard problems where accuracy is the product.

To apply, send a short note to [email protected] about yourself.

If you know someone who should read this, send it to them.

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