Posted 9 days ago
Machine Learning Engineer
@ Syntrace
Toronto, Ontario
Overview
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.
Responsibilities:
- 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
Requirements summary:
- Several years building machine learning systems in production
- Strong Python and experience with modern deep learning frameworks
- Disciplined approach to evaluation
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-01
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Syntrace
| Field | Value |
|---|---|
| Open jobs on Jobsy | 1 |
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.
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