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Added 1 month ago
E
Software Engineer, Machine Learning
Ema
Vancouver, BC
- Full-time
Familiarity with cloud platforms like GCP or Azure.
Added 1 month ago
R
Software Developer - Amdocs Clarify CRM/Java
Resonaite
Markham, ON
- Contract
Contribute to modernization initiatives using React, Next.js, Node.js/NestJS, Azure and cloud-native technologies.
Added 1 month ago
VS
Senior Site Reliability Developer
Vena Solutions
Remote, Canada
- Full-time
- Remote
…best-in-class automation and orchestration practices for Vena's SaaS platform. As a Senior Site Reliability Developer, you will utilize your software and systems engineering background to…
Added 1 month ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 1 month ago
P
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
- Full-time
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 1 month ago
QT
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $285,000 to $325,000 USD / year
- Full-time
Position: Principal Engineer, Software Engineering / AI Engineer
Added 1 month ago
EB
Cloud Platform Engineer
EQ Bank
Toronto, ON
- Full-time
The Cloud Platform Engineer is responsible for all aspects of our Kubernetes and Docker containers. He/she will be responsible for production support, administration, testing, and…
Added 1 month ago
EB
Cloud Platform Engineer
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
The Cloud Platform Engineer is responsible for all aspects of our Kubernetes and Docker containers. He/she will be responsible for production support, administration, testing, and…
Added 1 month ago
DE
Azure Databricks Engineer
Data Elephant
Calgary, AB
- Contract
We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis in Calgary to design, build, and optimize modern data platforms on Azure Databricks. In this…
Added 1 month ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 1 month ago
Technology Lead - Databricks Admin
Infosys
ON
6+ years of experience in cloud-based database and platform administration (AWS/Azure).
Added 1 month ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- $154,000 to $193,000 CAD / year
- Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 1 month ago
SA
Senior Data Engineer
Style Analytics
Toronto, ON
- Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 1 month ago
C
Senior Data Engineer
Confluence
Toronto, ON
- Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 1 month ago
CO
Senior Manager, Software Engineering
Capital One
Toronto, ON
- Full-time
Experience with AWS, GCP, Microsoft Azure, or another cloud service
Added 1 month ago
S
Lead Site Reliability Engineer - Database Management
SimCorp
Toronto, ON
- Full-time
This role ensures a seamless onboarding experience for our clients on SimCorp’s SaaS platform. You will manage and troubleshoot Azure pipelines, align client requirements with PaaS…
Added 1 month ago
NR
Senior Software Engineer
Norton Rose Fulbright
Toronto, ON
- Full-time
The Senior Software Engineer is responsible for developing, implementing, and supporting enterprise-grade cloud solutions leveraging Microsoft Azure and Microsoft Fabric. This role focuses…
Added 1 month ago
M
Senior Mulesoft Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
…enterprise integration solutions. As a Senior MuleSoft Software Engineer, you will design, develop, and support scalable, secure, and resilient integration platforms that connect enterprise…
Added 1 month ago
DE
Databricks Engineer (Contract)
Data Elephant
AB · Calgary, Alberta
- Contract
We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis to design, build, and optimize modern data platforms on Azure Databricks. In this strategic…
Added 1 month ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
5+ years of validated experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps.
Added 1 month ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
This specialist will bridge the gap between AI development pipelines, secure networking infrastructure, and cloud platform services. They will take a hands-on lead in configuring…
Added 1 month ago
C1
Senior Data Engineer (Microsoft Fabric) | 6 months Contract | Vancouver-(Hybrid)
Central 1
Vancouver, BC
- Contract
As a Senior Data Engineer you will be the subject matter expert in Microsoft Fabric to support the evolving data needs of Central 1. The Senior Data Engineer is responsible for designing,…
Added 1 month ago
Senior Consultant - Microsoft Sentinel and Defender Engineer
EY
Winnipeg, MB · Toronto, ON · Quebec, QC · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Waterloo, ON · Calgary, AB
EY is seeking a senior, hands-on Microsoft security engineer to support the design, implementation, and continuous improvement of our Managed Detection and Response (MDR) services. You will…
Added 1 month ago
TC
Integrator engineer
Tata Consultancy Services
Montreal, QC
- Full-time
4. Required – Knowledge of Cloud Service Providers (AWS/Google/Azure) cloud, DevOps and CI/CD
Added 1 month ago
EG
Full Stack Engineer - Azure & Microsoft
Emterra Group
Oakville, ON
- Full-time
We are looking for a skilled Full Stack Engineer to design, build, integrate, and operate secure enterprise applications on the Microsoft Azure platform. This role owns application…

Ema

Software Engineer, Machine Learning

Vancouver, BC, Canada

The standard base salary for this position is $160,000 to $220,000 annually. · Full-time

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Job details

Pay: The standard base salary for this position is $160,000 to $220,000 annually.
Job type: Full-time
Experience: At least 2 years of industry experience in building and deploying production-level machine learning models.
Posting language: English
Posted: Sep 22, 2026

Original job description

About Ema

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale.

Who You Are

We're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.

You Will

Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.
Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.
Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.

Minimum Qualifications

A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
At least 2 years of industry experience in building and deploying production-level machine learning models.
Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.

Ideally, You'd Have

Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
Familiarity with cloud platforms like GCP or Azure.
Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.
Good understanding of software development principles, data structures, and algorithms.
Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
The ability to work collaboratively in an extremely fast-paced, startup environment.

For California Based Candidates

The standard base salary for this position is $160,000 to $220,000 annually.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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More about this job

Responsibilities

You will conceptualize, develop, and deploy machine learning models for NLP, retrieval, and reasoning systems. Additionally, you will manage the full ML lifecycle, including data exploration, model training, validation, and deployment.

Requirements

Candidates must hold a Master’s degree or Ph.D. in a quantitative field and have at least 2 years of industry experience in production-level machine learning. Proficiency in Python and deep understanding of NLP and large language models are required.

Skills

Machine Learning
Natural Language Processing
Python
TensorFlow
PyTorch
Transformer-based models
Reinforcement learning
Agent-based systems
SQL
ETL
Data warehousing
MLOps
Cloud platforms
GCP
Azure
Information retrieval

Benefits

Variable compensation
Equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Agentic AI
Natural Language Processing
Python
TensorFlow
PyTorch
Transformer
Reinforcement Learning
Ensemble Learning
Agent-based systems
SQL
ETL
Data Warehousing
MLOps
GCP
Azure
Information Retrieval
Ranking
Reasoning
Code-generation
A/B Testing
Statistical methods
Data structures
Algorithms
Startup
Enterprise productivity
Software Engineering
Model lifecycle management
Feature engineering
Deployment

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