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Sr. Computer Vision Engineer
OpenSpace
Canada
We're looking for an experienced Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data.…
Investigations Engineer - Toronto
GPTZero
Remote, Canada
$140,000 to $230,000 CAD / year
Full-time · Remote
Craft machine learning ranking and classification systems to detect documents that have fabrications using LLMs.
Added 7 hours ago
Engineering Manager, Forward Deployed Engineering (LLM)
Baseten
Toronto, ON
$260,000 to $380,000 USD / year
Full-time
You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class…
Engineering Manager - Forward Deployed Engineering (LLM)
Baseten
Montreal, Quebec
$260,000 to $380,000 USD / year
Full-time
You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class…
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
FORWARD - DEPLOYED Engineer · Montréal, QC · Full-Time, Permanent · 100% On-Site · Start Date: September 14, 2026
Senior AI/ML Engineer (AutoCAD & Civil 3D)
Autodesk
Toronto, ON
Full-time
3+ years of experience in Applied AI, Machine Learning, AI Product Engineering, ML Engineering, or Software Engineering with significant AI/ML responsibilities
Principal Data Engineer, User Success
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence…
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence…
Computer Vision/ML Engineer
Norbert Health
Montreal, Quebec
Full-time
We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.
Senior Design Verification Engineer
Cognichip
Toronto, ON
$150,000 to $180,000 CAD / year
Full-time
AI/ML Exposure: Interest in or exposure to LLMs, prompt engineering, or machine learning frameworks applied to technical domains (prior hands-on ML experience is a plus, not required).
Engineer - ML & RL
Huawei Technologies Canada Co., Ltd.
Edmonton, Alberta
Contract
Design and build scalable infrastructure to support Reinforcement Learning, Online Search, Recommendation Systems, large model fine-tuning and evaluation/deployment.
Engineer – ML & RL
Huawei Canada
Edmonton, Alberta
Full-time
Design and build scalable infrastructure to support Reinforcement Learning, Online Search, Recommendation Systems, large model fine-tuning and evaluation/deployment.
Senior Software Engineer II
SurveyMonkey
Remote, Canada
$126,400 to $158,000 CAD / year
Full-time · Remote
The Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and implement the secure, highly scalable, and high-performance pipelines that govern the…
Senior Software Engineer II
SurveyMonkey
Remote, Canada
$126,400 to $158,000 CAD / year
Full-time · Remote
The Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and implement the secure, highly scalable, and high-performance pipelines that govern the…
Software Engineer - Model Performance
Baseten
Montreal, Quebec
$180,000 to $360,000 USD / year
Full-time
…OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI…
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
$113,000 to $152,000 CAD / year
Full-time
…AI and Data Scientist will build and advance the models and machine-learning methods, data pipelines, evaluation and tuning frameworks, and monitoring that power that mission across our AI…
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
Full-time
…AI and Data Scientist will build and advance the models and machine-learning methods, data pipelines, evaluation and tuning frameworks, and monitoring that power that mission across our AI…
Globalization Tech Lead
Okta
Toronto, ON
Okta is looking for a highly skilled Globalization Engineer to be the technical backbone of our global digital operations. You will be responsible for owning, building, and optimizing the…
Senior Software Engineer (Back-end/Server)
Trulioo
Vancouver, BC · Toronto, ON
Full-time
Technical Leadership: Drive technical architecture, mentor engineers, and collaborate with Machine Learning, Infrastructure, and Product teams to deploy computer vision models and vendor…
Lead Data Scientist- Canada
Very LLC
Remote, Canada
$100 CAD / hour
Contract · Remote
…plumbing, and 40 percent client-facing judgment. This is not a research role. The people who succeed here are as comfortable owning a data pipeline end to end as they are training a…

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Autodesk

Principal Data Engineer, User Success

Toronto, ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

Pay: For Canada based roles, we expect a starting base salary between $120,000 and $176,000.
Job type: Full-time

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

Architect and implement large-scale batch and streaming pipelines to support AI-native experiences and agentic insights platforms. Lead the design of AI-ready data products and collaborate cross-functionally to define data standards and governance.

Requirements

Requires over 10 years of experience in data engineering with deep expertise in Python, Spark, and AWS cloud infrastructure. Must have hands-on experience with LLM ecosystems, RAG, and streaming technologies like Kafka or Flink.

Experience

10+ years

Working hours

40 hours per week

Work arrangement

On-site

Skills

Python
Spark
PySpark
SQL
LLM Ecosystems
Vector Databases
RAG
Kafka
Flink
dbt
AWS
Data Governance
ETL/ELT Pipelines
Distributed Systems
Product Telemetry
Data Architecture

Benefits

Annual Cash Bonuses
Commissions For Sales Roles
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Machine Learning
LLM
RAG
Vector Search
Embeddings
Kafka
Flink
Spark Streaming
dbt
Iceberg
Hive
Snowflake
Redshift
Athena
AWS EMR
AWS Glue
S3
Lambda
Step Functions
Product Telemetry
Clickstream Data
Behavioral Analytics
Feature Stores
Data Governance
Data Lineage
Distributed Systems
ETL
ELT

Original job description

Job Requisition ID #

26WD97991

Position Overview

At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.

The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform - we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact.

As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products.

This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk.

Responsibilities

Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access that support LLMs and agentic workflows optimized for:
- Real-time and iterative feedback loops
- Contextual data access
- Retrieval (e.g., embeddings, vector search)
Partner with AI/ML teams to operationalize:
- Feature engineering and feature stores
- RAG-based systems and evaluation pipelines
Ensure data quality and observability meet the needs of AI-driven decision systems
Guide build vs. buy decisions for data tooling and platforms
Enable analysts and product teams with trusted, well-modeled datasets
Partner with stakeholders to translate product questions into measurable data signals
Improve instrumentation strategy to ensure high-quality behavioral data
Support self-service analytics and AI-assisted exploration
Collaborate across Product, Engineering, Data Science, Research and Design
Influence technical direction without direct authority
Drive alignment on data standards, governance, and best practices
Communicate complex technical concepts to both technical and non-technical audiences

Minimum Qualifications

10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Experience with:
- LLM ecosystems, embeddings, vector databases
- Retrieval-augmented generation (RAG)
- Agent frameworks or orchestration systems
Experience with streaming technologies (Kafka, Flink, Spark Streaming)
Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)
Experience with data governance, lineage, and cataloging systems
Exposure to product analytics and experimentation frameworks
Experience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checks
Experience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologies
Hands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructure
Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
Strong communication skills with technical and non-technical stakeholders

Preferred Qualifications

Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms
Experience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similar
Experience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilities
Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments
Track record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standards

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $120,000 and $176,000. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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