markham, on deep learning engineer Jobs – 60 Openings This Week

Senior ML Engineer
Invoca —Toronto, ON
- $152,000–$228,000 a year
- Remote
- Computer Science
- Engineering
- Travel
- Dental care
- Paid time off
Quick apply
14d
Senior AI Engineer
ShyftLabs —Toronto, ON
- $120,000–$160,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- SQL
- Dental care
- Vision care
Quick apply
Data Scientist II
Scribd, Inc. —Toronto, ON
- $118,000–$123,000 a year
- Full-time
- Computer Science
- Master's degree
- SQL
- Disability insurance
- Dental care
AI Engineering Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Java
- Tuition reimbursement
- Paid time off
AI Development Engineer - Remote
NTT Ltd —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Principal AI Engineer - AI Engineering & Enablement
Questrade Financial Group —Toronto, ON
- $115,000–$170,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
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Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon Development Centre Canada ULC —Toronto, ON
- $195,900–$327,200 a year
- Full-time
- Doctoral degree
- Computer Science
- Sales
- Profit sharing
- Dental care
Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon Development Centre Canada ULC —Toronto, ON
- $149,300–$249,300 a year
- Full-time
- Doctoral degree
- Computer Science
- Sales
- Profit sharing
- Dental care
Applied Scientist, Sales AI
Amazon Development Centre Canada ULC —Toronto, ON
- $149,300–$249,300 a year
- Full-time
- Doctoral degree
- Computer Science
- Java
- Profit sharing
- Dental care
Senior AI Engineer - AI Engineering & Enablement
Questrade Financial Group —Toronto, ON
- $120,000–$140,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
Machine Learning Lead, Edge AI Inferencing
Blumind —Markham, ON
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Generative AI Software Engineer
Apertera —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Dental care
- Vision care
Quick apply
21h
Software Engineer, AI
Calabrio —Toronto, ON
- Remote
- Azure
- Computer Science
- Engineering
- Designated paid holidays
- Disability insurance
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Senior AI Engineer
Robots and Pencils —Toronto, ON
- Remote
- Databases
- AWS
- APIs
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Data Scientist, AI Deployment
Braze —Toronto, ON
- $112,000–$188,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- DevOps
- Dental care
- Paid time off
Quick apply
Staff AI Engineer
Acquia —Toronto, ON
- Remote
- Computer science
- Azure
- Computer Science
Quick apply
14d

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Principal AI Engineer - AI Engineering & Enablement
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deep learning engineer jobs near markham, on

Senior ML Engineer

Invoca -
Toronto, ON

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Job details

$152,000–$228,000 a year
14 days ago

Qualifications

Statistics
Law
Computer Science
Kubernetes
PyTorch
Engineering
Natural language processing
APIs
AI
Model evaluation
Python

Full job description

Senior ML Engineer

About Invoca

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.

About the Team

The Data Platform team owns the full ML lifecycle at Invoca, from model training and fine-tuning through inference optimization and production APIs. We move quickly, swarm on hard problems, and care deeply about code quality, reliability, and each other's growth. Learn more on our blog or check out our open source projects.

About the Role

We're hiring a Senior ML Engineer to own the productionization layer of Invoca's ML stack — model serving, inference optimization, fine-tuning, and the APIs and pipelines that tie it all together. You'll be a primary driver of the infrastructure powering our Context Engine and agentic AI workflows, working closely with Data Scientists, Data Engineers, and Applied AI Engineers.

Core Focus & Primary Ownership

Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts — including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack.
Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs for internal and external model access.

Broader Contributions

Fine-Tune Language Models: Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence.
Evolve ML Infrastructure: Contribute to model training infrastructure, data pipelines, and data lake foundations to keep the systems powering our models reliable and scalable.
Collaborate Across Teams: Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products.
Deliver Customer Value: Work with product and engineering to understand customer needs and ship ML solutions that make a measurable difference.

What You Bring

5+ years of ML Engineering experience with a strong production focus
Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)
Demonstrated track record deploying and maintaining transformer-based NLP models in production
Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via quantization, batching, and throughput tuning
Proficiency with inference infrastructure: Triton, Baseten, vLLM, TGI, SageMaker, Vertex AI, or similar
Experience building production-grade APIs that expose ML models to downstream consumers
Familiarity with MLOps tooling, model monitoring, and eval platforms (Braintrust, MLflow, or equivalent)
B.S. in Computer Science, Engineering, Statistics, or equivalent; advanced degree a plus
Familiarity with RLHF or preference training is a bonus

Location This is a remote-first role. We are currently hiring in the following locations:

United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area

Canada: Toronto (AI/ML technical roles only)

Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required.

Please note that we are unable to provide initial visa sponsorship for this position.

Salary, Benefits & Perks:

At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include:

Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations.

Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included.
Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
Stock Options – All employees are invited to share in Invoca's success through stock options.
Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program.
Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
Position Base Range - Salary Range $152,000 - $228,000 USD plus bonus + equity

#LI-Remote

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deep learning engineer jobs in markham, on

Senior ML Engineer

Senior AI Engineer

Data Scientist II

AI Engineering Lead

AI Development Engineer - Remote

Principal AI Engineer - AI Engineering & Enablement

Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)

Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)

Applied Scientist, Sales AI

Senior AI Engineer - AI Engineering & Enablement

Machine Learning Lead, Edge AI Inferencing

Generative AI Software Engineer

Software Engineer, AI

Senior AI Engineer

Data Scientist, AI Deployment

Staff AI Engineer

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