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Added 1 month ago
Senior Data Engineer (DBX)
Munich Re
Toronto, ON
Please note that the internal job title for this position is Senior Application Developer.
Added 1 month ago
Application Support Analyst
Mitsubishi Heavy Industries, Ltd.
Mississauga, ON
Solid hands-on experience on Python, SQL, XML and HTML.
Added 1 month ago
Senior BSA / Data Migration Specialist
Capgemini
Toronto, ON
Perform data analysis and profiling using SQL and related tools.
Added 1 month ago
FB
Senior Data Architect
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
Deep expertise with Databricks (Delta Lake, Structured Streaming, Auto Loader, Unity Catalog, PySpark / Spark SQL) and MongoDB Atlas (document modeling, aggregation framework, change…
Added 1 month ago
F
AI Engineer
FacilityOS
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
Deep practical experience and complete fluency with Azure, particularly App Services, Container Apps, Front Door, SQL databases, Cosmos, Service Bus, Key vaults
Added 1 month ago
E
Software Engineer, Machine Learning
Ema
Vancouver, BC
- Full-time
Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
Added 1 month ago
R
Software Developer - Amdocs Clarify CRM/Java
Resonaite
Markham, ON
- Contract
Strong SQL skills with experience in relational database design, data modelling and query optimization.
Added 1 month ago
TC
Full stack developer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Experience with databases such as SQL (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Cosmos DB)
Added 1 month ago
B
AI Solution Architect
Bombardier
Dorval, QC
- Full-time
Remain hands-on in Python, TypeScript, C#, .NET, SQL, or equivalent enterprise technologies; diagnose difficult issues, review code, build targeted proofs of concept, and help teams unblock…
Added 1 month ago
Principal Engineer
Enercare
Markham, ON
Database skills (SQL, NoSQL, or something in between).
Added 1 month ago
B
Product Manager, Home Financing
BMO
Toronto, ON · BMOPLACE
- Full-time
Added 1 month ago
GA
Manager, SOX IT Compliance
Gildan Activewear Inc
Montreal, QC
- Other
Experience with SAP, Oracle/SQL, AS/400, JD Edwards, Manhattan considered an asset;
Added 1 month ago
S
Business Analyst
Skiffra
Quebec, QC
- Full-time
Quantify the value at stake and turn your analysis into a working tool: a dashboard, data pipeline, or workflow app, built in SQL, Python, and a BI or low-code layer.
Added 1 month ago
JG
Java Full Stack Developer(Node.js, Java, Angular and Spring Boot)
J&M Group
Toronto, ON
- Contract
We are hiring for a Java Full Stack Developer. This role focuses on developing enterprise applications across both front-end and back-end technologies using Java, Angular, Node.js, and…
Added 1 month ago
CG
Ingénieurs en logiciel / Software Engineer
Cattron Global
Montreal, QC
- Full-time
Maîtrise de diverses technologies, notamment : Java, J2EE, EJB, JavaScript, AJAX, REST, SQL, DHTML, Linux, ASP, .NET, SOAP, C, C++, C# et Shell Scripts
Added 1 month ago
CC
Technical Support Specialist
Canada Controls
Mississauga, ON
- $80,000 to $100,000 USD / year
- Full-time
Light scripting or database familiarity (SQL queries, CSV/point-list manipulation) for data and reporting tasks
Added 1 month ago
Technology Lead - Full Stack Developer
Infosys
ON
Infosys is seeking a Full Stack Developer. This position will interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle…
Added 1 month ago
A
Product Manager, Data and Analytics – Digital
ARC'TERYX
North Vancouver, BC
- Full-time
Added 1 month ago
CF
Business System Analyst II
CI Financial
Toronto, ON
- Full-time
AWS, Jenkins, Python, SQL, Unix, JIRA proficiency is an asset
Added 1 month ago
B
Senior .NET Full Stack Developer – Angular / Azure
Bevertec
Toronto, ON
- Contract
Extensive Microsoft SQL Server / T-SQL development and performance tuning
Added 1 month ago
AC
Demand Planner
Auxly Cannabis
Toronto, ON
- $80,000 to $90,000 CAD / year
Knowledge of database management tools and SQL is preferred
Added 1 month ago
Product Analyst
Konrad
Toronto, ON
Proficiency with data visualization platforms (e.g., Tableau, Power BI, Looker) and foundational knowledge of querying languages (e.g., SQL)
Added 1 month ago
Technology and AI Manager
Connex Telecommunications Inc.
Hamilton, ON
Added 1 month ago
Software Developer III
Red River Mutual
Winnipeg, MB
…within established architecture and standards, the Software Developer III takes ownership of complex development assignments, makes sound application-level technical decisions with minimal…
Added 1 month ago
R
Senior Director - Chief Developer and AI Adoption
RBC
Toronto, ON
- Full-time
Are you a Senior Developer turned Technical Manager? Do you have strong understanding of banking products?

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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