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Added 3 months ago
A
AI and Automation Software Engineer
AMD
Markham, ON
- $187,200 to $280,800 CAD / year
- Full-time
Proficiency with one or more of the following languages: Python, C, C++ programming, JavaScript.
Added 4 months ago
A
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
- $90,000 to $110,000 CAD / year
- Full-time
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems.
Added 2 months ago
Solutions Architect, AI Systems
Viral Nation Inc.
Canada
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and…
Added 4 months ago
SI
Staff R&D Engineer-17397
Synopsys Inc
Vancouver, BC
- Full-time
Experience with Python for scripting and automation
Added 3 months ago
S
Applied AI Lead - Edmonton
Sia
Edmonton, AB
- Full-time
Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
…steps, so teams can make faster, safer placement decisions with less administrative burden. Today, exacare ai powers more than 2,000 facilities, and is growing…
Added 2 months ago
W
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 2 months ago
CI
AI Engineering Lead (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Toronto Dominion Centre / Design Exchange), Ontario
- Full-time
Mastery of Python and deep experience with AI/ML frameworks, Proven ability to write clean, high-performance, and maintainable code in Python, Java, SQL, and Spark.
Added 3 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 3 months ago
TA
Gen AI Engineer
Tiger Analytics
Canada
- Full-time
…Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to…
Added 2 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 2 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
Added 2 months ago
JI
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
Jesta I.S. builds enterprise retail technology used by apparel and footwear brands with complex, multi-site operations. Our data environment spans ERP and cloud platforms, and our…
Added 2 months ago
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 Group
Montreal, QC
We are present in Paris, Montreal, Luxembourg, Shanghai, New York, and Geneva, with over 800 consultants 🇫🇷🇨🇦🇨🇳🇺🇸🇨🇭.
Added 2 months ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
…algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented…
Added 2 months ago
B
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
…embedding controls in operational and DevOps (CI/CD) practices with a focus on…
Added 2 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
· Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as…
Added 2 months ago
AM
Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Familiarity with Makefiles, scripting languages like perl, python, ruby etc.
Added 3 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
At least 2 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
Added 1 month ago
Principal Applied AI/ML Scientist (Auth0 Lab)
Okta
Toronto, ON
We have a lot to teach you about security, auth, developer products and many other things. And we also want to learn from you. Join us to have fun learning and collaborating with a great…
Added 3 months ago
S
Staff Engineer, Computer Vision
Stryker
Burnaby, BC
- $105,300 to $140,450 CAD / year
- Full-time
Experience with Python and/or C++, with CUDA as a plus.
Added 3 months ago
A
Stagiaire en Développement Cloud, Intern Cloud Developer – FCAP
Autodesk
Montreal, QC
- Full-time
Posséder une expérience en développement logiciel backend ou orienté objet, de préférence avec Java ou un langage similaire (Kotlin, C#, Python ou Go).
Added 3 months ago
JC
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 4 months ago
FI
Principal Engineer - New Initiatives (Founding Platform Engineer)
Fulfillment IQ
Toronto, ON
- Full-time
Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate…

Palona AI

AI Modeling Engineer

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of industrial experience in relevant technical domain.
Posting language: English
Posted: Aug 11, 2026

Original job description

Palona’s AI agents operate in real restaurant environments: noisy phone lines, varied accents, complex menus, interruptions, incomplete information, strict business rules, and customers who expect an immediate, natural response. Improving these systems requires more than selecting the newest model. It requires disciplined evaluation, high-quality data, modeling judgment, experimentation, and production feedback loops.

We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona’s voice and multimodal agents. You will own problems across model selection and routing, prompting and context, fine-tuning or post-training when justified, speech and language quality, evaluation methodology, dataset development, and model behavior in production.

This is a product-facing modeling role. Research depth matters, but success is measured by improvements that survive contact with production and create better guest, restaurant, and business outcomes. You will work closely with product, full-stack, infrastructure, and customer-facing engineers to move from hypothesis to experiment to reliable deployment.

What you’ll own

Develop modeling and experimentation strategies for high-impact agent problems in voice, language, reasoning, ordering, multilingual behavior, and multimodal understanding.
Build rigorous offline and online evaluations that measure task completion, accuracy, safety, latency, cost, conversational quality, and business outcomes.
Create and maintain representative datasets from simulations, human annotation, production feedback, and difficult edge cases while protecting sensitive data.
Evaluate frontier and open-source models and make clear build, buy, route, prompt, fine-tune, or distill decisions.
Improve prompting, context construction, memory, tool-use policies, structured outputs, model routing, and fallback behavior.
Design fine-tuning, preference optimization, distillation, or other post-training work when it offers a measurable advantage over simpler methods.
Partner with speech and real-time engineers to improve ASR, TTS, turn-taking, interruption handling, pronunciation, multilingual behavior, and end-to-end latency.
Develop analysis tools that explain model failures, slice performance by scenario, detect regressions, and accelerate iteration.
Ship model changes with production guardrails, staged rollouts, monitoring, rollback paths, and clear quality gates.
Translate new research and model releases into concrete product opportunities and communicate tradeoffs to technical and non-technical partners.
Raise scientific and engineering standards through reproducible experiments, thoughtful reviews, and clear documentation.

3+ years of industrial experience in relevant technical domain.
Strong machine learning foundations and hands-on experience developing or evaluating production AI systems.
Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems.
Practical experience with LLMs, speech models, multimodal models, or agentic systems.
Ability to design reliable experiments, define useful metrics, analyze noisy results, and avoid optimizing against weak proxies.
Experience building datasets, evaluation harnesses, model services, or training and inference pipelines.
Strong software engineering judgment; your work is reproducible, tested, observable, and usable by other engineers.
Ability to connect modeling choices to product constraints including latency, cost, privacy, safety, and user experience.
Comfort operating in ambiguity and collaborating across research, engineering, product, and customer contexts.
AI-native working habits and genuine curiosity about new model capabilities and limitations.

Competitive Salary and Stock Option Plan.
Medical, dental, vision, retirement, leave, and disability benefits as applicable.
Family Leave
Short Term & Long Term Disability
Paid time off and company holidays.
Learning and development support.

Apply About employer

More about this job

Responsibilities

You will develop and implement modeling strategies to improve the intelligence, accuracy, and performance of voice and multimodal AI agents in production. This involves building rigorous evaluation frameworks, managing datasets, and collaborating with cross-functional teams to deploy reliable model updates.

Requirements

The role requires at least 3 years of industrial experience in machine learning and strong proficiency in Python and modern ML tooling. Candidates must demonstrate the ability to design reliable experiments and connect modeling choices to product constraints like latency and cost.

Skills

Machine learning
Python
PyTorch
JAX
Hugging Face
LLMs
Speech models
Multimodal models
Agentic systems
Data modeling
Prompt engineering
Fine-tuning
ASR
TTS
Experimentation
Software engineering

Benefits

Medical insurance
Dental insurance
Vision insurance
Retirement benefits
Family leave
Short term disability
Long term disability
Paid time off
Company holidays
Learning and development support
Stock options

Visa sponsorship

Not detected in the job text

Keywords

AI Modeling
Machine Learning
Python
PyTorch
JAX
Hugging Face
LLMs
Speech Recognition
TTS
Multimodal
Agentic Systems
Fine-tuning
Prompt Engineering
Data Engineering
ASR
Latency Optimization
Model Routing
Production Guardrails
Experimentation
Software Engineering
Voice AI
Preference Optimization
Distillation
Model Evaluation
Simulation
Human Annotation
Tool-use
Structured Outputs
Regression Testing
Technical Documentation

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