---
title: 'Machine Learning Engineer at Kogniz'
canonical: 'https://feeny.ai/job/machine-learning-engineer-kogniz-montreal-07anmjnp8pbe'
type: 'job'
last_seen: '2026-09-07'
---

# Machine Learning Engineer at Kogniz

- **Company:** Kogniz
- **Location:** Montréal, Canada
- **Employment:** full-time
- **Posted:** 2018-09-27
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/kogniz/60f760bd-5b0a-4a07-a650-bfac4ff644f8

## Job description

We are looking for a brilliant machine learning engineer to join our Montreal development team. You will work on state of the art computer vision and machine learning projects, surrounded by a group of passionate, expert developers. Your work will directly affect technology that is being used by some of the top companies in the world. Kogniz is growing fast and this is your chance to be part of the next great venture-backed startup.

- Undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
- 1-2 years machine learning experience, either in industry or from personal projects
- Successfully trained and deployed a deep learning machine model, with measurably improved performance over baseline, either in industry or as a personal project
- Strong experience with high-level machine learning frameworks such as DLib, YOLO/Darknet, Tensorflow, Caffe, or Torch, and familiarity with the others
- You know the ins and outs of C++ and Python, especially as it applies to the above ML frameworks
- You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
- You have great communication skills and ability to work with others
- You are a strong team player, with a do-whatever-it-takes attitude

## About Kogniz

## Company Overview
- **One-liner**: Kogniz leverages AI and computer vision to provide a proactive safety and security platform for workplaces, enabling rapid detection of hazards, violence, and emergencies.
- **Entity Type**: Private (Series A)
- **Headquarters**: Berkeley, California, United States
- **Founded**: 2016
- **Founders**: Daniel Putterman, Jed Putterman

## Core Business
- **Primary industry**: AI-powered workplace safety and security (computer vision)
- **Target customers**: B2B – enterprises and organizations with physical workspaces (factories, offices, warehouses, etc.)
- **Mission/purpose**: “Creating safer, smarter workspaces using predictive safety” (Crunchbase)

## Products & Services
- **[Kogniz AssureAI]**: A proactive safety platform that uses AI and computer vision to detect occupational hazards, workplace violence, evacuations, personnel accountability, anomalous behavior, and vaccine management. Integrates with existing infrastructure and can be deployed in days. (Type: SaaS/platform)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding – $10M (Series A, June 2022) led by H. Barton Asset Management, with participation from Ulu Ventures, Superset, The Entrepreneur’s Fund, and others
- **Notable Investors/Partners**: H. Barton Asset Management, Ulu Ventures, Superset, The Entrepreneur’s Fund
- **Growth Signals**: Over 3 million employees rely on Kogniz; award-winning technology featured in The Wall Street Journal, The Washington Post, NBC, and Fox; headcount reported as 11–50 (Crunchbase) and 29 total employees (Built In); development team in Montreal, Quebec

## Competitive Advantages
- **Rapid deployment** – platform can be implemented in days and works with existing infrastructure
- **Proactive, AI-driven detection** – goes beyond traditional reactive security to identify hazards, violence, and anomalies in real time
- **Comprehensive coverage** – addresses occupational safety, workplace violence, evacuation management, vehicle detection, and more in a single platform

## Strategic Focus
- Continued product development in computer vision and machine learning (active hiring for ML engineers, C++ engineers, frontend engineers, QA engineers)
- Expanding sales reach (hiring Sales Development Representatives in Mill Valley, CA)
- Maintaining a dual-location engineering team (Berkeley HQ + Montreal development office)

## Why Work Here
- **Culture & recognition**: Technology has been featured in major national media (WSJ, Washington Post, NBC, Fox) and is trusted by millions of employees
- **Work location**: Currently in-office roles – Montreal (QC) for engineering positions, Mill Valley (CA) for sales; headquarters in Berkeley, CA
- **Engineering environment**: Hands-on work with cutting-edge computer vision, deep learning, and AI; small team (11–50 people) offering ownership and impact
- **Notable perks**: Not publicly detailed, but the company emphasizes innovation in safety technology and a mission-driven approach

## Sources
1. [Kogniz Careers Page (Lever)](https://jobs.lever.co/kogniz)
2. [Built In – Kogniz Company Profile](https://builtin.com/company/kogniz-inc)
3. [Crunchbase – Kogniz](https://www.crunchbase.com/organization/kogniz)
4. [The Org – Kogniz](https://theorg.com/org/kogniz)
5. [Built In – Kogniz Jobs](https://builtin.com/company/kogniz-inc/jobs)

## Other roles at Kogniz

- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-kogniz-mill-valley-jb6ehqw3rrzz) — Mill Valley, CA
- [Senior Software Quality Engineer](https://feeny.ai/job/senior-software-quality-engineer-kogniz-montreal-hmk1m36q580f) — Montréal, Canada
- [Frontend Javascript Engineer](https://feeny.ai/job/frontend-javascript-engineer-kogniz-montreal-jcjzex38qj9v) — Montréal, Canada
- [C++ Software Engineer](https://feeny.ai/job/c-software-engineer-kogniz-montreal-apvx81qdyk2k) — Montréal, Canada
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-wynd-labs-remote-whe42v314npy)
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