39 Research Engineer jobs in Canada

About Us:
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
**Corporate Overview**
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity. Protection Starts with People.
**The Role**
You are a Senior CyberSecurity Analyst (email borne threats) or have a strong desire and a skill set to become one!
We are looking for a highly intelligent, analytical, driven person to join a dynamic group of people who are passionate about saving the world from the growing threat of e-mail borne threats: phishing, malware , BEC and spam. We are competing against a very active, creative, and motivated adversary who was credited as sending over 40 trillion spam/threat email messages last year alone! If you are interested in helping us achieve our goal and rid the world of phishing, malware and spam, we definitely would like to speak with you. We offer a challenging environment that fosters creativity and rewards excellence.
**Your day to day**
+ Member of a creative, enthusiastic, and geographically distributed team (in a 24/7/365 "follow the sun" model) that is responsible for identifying, parameterizing, and responding quickly to spam attacks levied against some of the world's largest organizations.
+ Analyze email messages reported by customers as well as work on large data sets in order to determine correct classification (spam, phishing, malware, BEC (Advanced Email Fraud), bulk, ham).
+ CONTENT DEVELOPMENT. Perform deep analyses of spam message headers & structures to identify novel spam features, and design various rules/signatures to detect those features and block email borne threats
+ Ad-hoc development of tools as necessary to aid/streamline analysis activities is a plus
+ As an Email Cybersecurity analyst, who has coding experience and skills - an opportunity to design and develop new PoCs threat detection system(s) based on your expertise or learn how to add this skill to your toolset.
+ Continue to develop and support existing Threat Detection PoCs based on the existing Threat Detection framework
+ Developing and maintaining Python applications/tools, writing clean and efficient code, debugging and troubleshooting issues, collaborating with cross-functional teams, and participating in code reviews. Knowledge of database systems is a plus
+ Be available in an rotating on-call basis to respond to develop signatures, that detect and block an emerging or an ongoing threat(s)
+ Help us define the landscape, prevalence, and evolution of messaging abuse, threats, and attacks by participating in future requirements definition discussions of our products.
**What you bring to the team**
+ Knowledge of different types of email borne attack vectors, tools and tactics
+ In-depth knowledge of email borne threats: phishing, malware, BEC and spam. Ability to find and research suspicious patterns in URLs, domains, in conjunction with overall email structure (email headers and email context).
+ Ability to create detection signatures/rules (content development) based on observed suspicious patterns with experience of 2-4 or more years in the field.
+ General curiosity about the headers and structure of email messages.
+ General familiarity with how mail delivery works, knowledge of email security standards and protocols, such as SPF, DKIM, and DMARC, would be beneficial.
+ Practical knowledge (hands-on experience) with Regular Expressions
+ Minimum 2+ years hands-on experience with Python or a different programming language
+ Experience in one of Python frameworks (Django, Flask or Pandas)
+ Experience with data analysis, familiarity with cybersecurity best practices, and the ability to work with large datasets.
+ Familiarity with Unix environments and comfort with a range of Unix command line tools for manipulating and extracting content from text files is a must have
+ Familiarity and/or experience with LUA based detection signatures is a plus
+ Familiarity and/or experience with ClamAV and/or Yara and/or in-house developed framework allowing to research and create signature based detection on email borne threats based detection signatures is a plus
+ Willingness to play an important technical role
+ Demonstrated analytical and creative problem-solving abilities.
+ Ability to work independently yet fully integrate with worldwide, remote teams.
+ Can-do attitude with a focus on problem solving, product quality, and a strong desire to get the job done.
+ Requirements/Education and/or Equivalent Experience (including technical and non-technical capabilities)
+ BSCS or equivalent, or equivalent technical experience.
**Why Proofpoint**
As a customer focused and driven-to-win organization with leading edge products, there are many exciting reasons to join the Proofpoint team. We believe in hiring the best the brightest and cultivating a culture of collaboration and appreciation. As we continue to grow and expand globally, we understand that hiring the right people and developing great teams is key to our success! We are a multi-national company with locations in many countries, with each location contributing to Proofpoint's amazing culture! #LI-PH1
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

Huawei Canada has an immediate 12-month contract opening for a Strategic Research Engineer.

About the team:

The Technology Planning and Cooperation Department promotes strategic innovation across all of Huawei Canada. Working with fellow experts, the focus is researching new and upcoming areas of technology as well as strategic planning to help achieve long term vision of Huawei. This department offers a unique opportunity to leverage both technical and business skills.

About the job:

• Explore and conduct technology insight activities from the technical perspective.

• Explore technological advancements: The rapid advancement of new technologies has led to significant exploration and insights within the industry. For instance, DeepSeek's latest LLM presents heightened technical demands regarding network architecture, communication efficiency, and performance enhancement in all-to-all communication modes, driving innovation in related fields.

• Analyze the potential value, technical breakthrough and technical difficulties of new technologies related to future datacom network. Make in-depth technology and industry analysis reports, providing an overview reference for the strategic decision-making.

• Involve in tracking the latest technology achievements in the related fields through international conferences, publications and business exhibitions, etc.

• Assist in organizing seminars and workshops in related fields and maintain regular technical exchanges with academic and business partners.

Huawei Canada has an immediate 12-month contract opening for a Research Engineer.

About the team:

The Technology Planning and Cooperation Department promotes strategic innovation across all of Huawei Canada. Working with fellow experts, the focus is researching new and upcoming areas of technology as well as strategic planning to help achieve long term vision of Huawei. This department offers a unique opportunity to leverage both technical and business skills.

About the job:

• Conduct in-depth research on cutting-edge literature and participate in internal discussions.

• Identify and define emerging technology frontiers with strategic impact on Huawei’s future.

• Develop technology charters to strengthen competitiveness and readiness.

• Define research directions to advance knowledge and innovation.

**Job Requisition ID #**
25WD90326
**_Machine Learning_** **Research Engineer,** **_3D_**
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.
You are excited to collaborate with world-class researchers and engineers to build datasets that power generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product.
You will report to a research manager in the Autodesk AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.
**Responsibilities**
· Own and lead engineering projects in the area of data acquisition, ingestion, curation and benchmarking.
· Organize and curate large, unstructured, disparate _multi-modal_ (text, images, _3D_ models, code snippets, metadata) data sources into a unified format suitable for _machine learning_ .
· Develop and _deploy_ highly scalable data pipelines for _machine learning_ .
· Conduct and analyze experiments on data to provide insights to other researchers and leadership.
· Work with our legal and trust teams to ensure compliant and ethical use of data.
· Write robust, testable code that is well-documented and easy to understand.
**Minimum Qualifications**
· MSc or _PhD_ in Computer Science, Engineering, or a related technical discipline.
· Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark).
· Experience working with large _multimodal_ _machine learning_ datasets.
· Strong data modelling, architecture, and processing skills with varied data representations including 2D and _3D_ _geometry_ .
· Excellent communication skills to document code, produce visualizations, and present findings from experiments.
· Proficiency with Linux, cloud, version control, testing and deployment pipelines.
**Preferred Qualifications**
· Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.
· Experience with collecting human data for training and evaluating ML models.
· Strong publication record related to ML, datasets and benchmarks. · Experience with computational _geometry_ , CAD data, and _3D_ formats such as meshes, boundary representations (BReps), or implicit representations.
· Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows.
· Motivated by the opportunity to apply _machine learning_ to real-world challenges in design, manufacturing, construction, and media & entertainment.
**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!
**Benefits**
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting transparency**
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $119,800 and $206,690. 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.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

**Job Requisition ID #**
25WD90326
**_Machine Learning_** **Research Engineer,** **_3D_**
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.
You are excited to collaborate with world-class researchers and engineers to build datasets that power generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product.
You will report to a research manager in the Autodesk AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.
**Responsibilities**
· Own and lead engineering projects in the area of data acquisition, ingestion, curation and benchmarking.
· Organize and curate large, unstructured, disparate _multi-modal_ (text, images, _3D_ models, code snippets, metadata) data sources into a unified format suitable for _machine learning_ .
· Develop and _deploy_ highly scalable data pipelines for _machine learning_ .
· Conduct and analyze experiments on data to provide insights to other researchers and leadership.
· Work with our legal and trust teams to ensure compliant and ethical use of data.
· Write robust, testable code that is well-documented and easy to understand.
**Minimum Qualifications**
· MSc or _PhD_ in Computer Science, Engineering, or a related technical discipline.
· Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark).
· Experience working with large _multimodal_ _machine learning_ datasets.
· Strong data modelling, architecture, and processing skills with varied data representations including 2D and _3D_ _geometry_ .
· Excellent communication skills to document code, produce visualizations, and present findings from experiments.
· Proficiency with Linux, cloud, version control, testing and deployment pipelines.
**Preferred Qualifications**
· Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.
· Experience with collecting human data for training and evaluating ML models.
· Strong publication record related to ML, datasets and benchmarks. · Experience with computational _geometry_ , CAD data, and _3D_ formats such as meshes, boundary representations (BReps), or implicit representations.
· Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows.
· Motivated by the opportunity to apply _machine learning_ to real-world challenges in design, manufacturing, construction, and media & entertainment.
**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!
**Benefits**
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting transparency**
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $119,800 and $206,690. 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.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

**Job Requisition ID #**
25WD90326
**_Machine Learning_** **Research Engineer,** **_3D_**
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.
You are excited to collaborate with world-class researchers and engineers to build datasets that power generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product.
You will report to a research manager in the Autodesk AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.
**Responsibilities**
· Own and lead engineering projects in the area of data acquisition, ingestion, curation and benchmarking.
· Organize and curate large, unstructured, disparate _multi-modal_ (text, images, _3D_ models, code snippets, metadata) data sources into a unified format suitable for _machine learning_ .
· Develop and _deploy_ highly scalable data pipelines for _machine learning_ .
· Conduct and analyze experiments on data to provide insights to other researchers and leadership.
· Work with our legal and trust teams to ensure compliant and ethical use of data.
· Write robust, testable code that is well-documented and easy to understand.
**Minimum Qualifications**
· MSc or _PhD_ in Computer Science, Engineering, or a related technical discipline.
· Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark).
· Experience working with large _multimodal_ _machine learning_ datasets.
· Strong data modelling, architecture, and processing skills with varied data representations including 2D and _3D_ _geometry_ .
· Excellent communication skills to document code, produce visualizations, and present findings from experiments.
· Proficiency with Linux, cloud, version control, testing and deployment pipelines.
**Preferred Qualifications**
· Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.
· Experience with collecting human data for training and evaluating ML models.
· Strong publication record related to ML, datasets and benchmarks. · Experience with computational _geometry_ , CAD data, and _3D_ formats such as meshes, boundary representations (BReps), or implicit representations.
· Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows.
· Motivated by the opportunity to apply _machine learning_ to real-world challenges in design, manufacturing, construction, and media & entertainment.
**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!
**Benefits**
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting transparency**
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $119,800 and $206,690. 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.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

**Job Requisition ID #**
25WD90326
**_Machine Learning_** **Research Engineer,** **_3D_**
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.
You are excited to collaborate with world-class researchers and engineers to build datasets that power generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product.
You will report to a research manager in the Autodesk AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.
**Responsibilities**
· Own and lead engineering projects in the area of data acquisition, ingestion, curation and benchmarking.
· Organize and curate large, unstructured, disparate _multi-modal_ (text, images, _3D_ models, code snippets, metadata) data sources into a unified format suitable for _machine learning_ .
· Develop and _deploy_ highly scalable data pipelines for _machine learning_ .
· Conduct and analyze experiments on data to provide insights to other researchers and leadership.
· Work with our legal and trust teams to ensure compliant and ethical use of data.
· Write robust, testable code that is well-documented and easy to understand.
**Minimum Qualifications**
· MSc or _PhD_ in Computer Science, Engineering, or a related technical discipline.
· Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark).
· Experience working with large _multimodal_ _machine learning_ datasets.
· Strong data modelling, architecture, and processing skills with varied data representations including 2D and _3D_ _geometry_ .
· Excellent communication skills to document code, produce visualizations, and present findings from experiments.
· Proficiency with Linux, cloud, version control, testing and deployment pipelines.
**Preferred Qualifications**
· Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.
· Experience with collecting human data for training and evaluating ML models.
· Strong publication record related to ML, datasets and benchmarks. · Experience with computational _geometry_ , CAD data, and _3D_ formats such as meshes, boundary representations (BReps), or implicit representations.
· Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows.
· Motivated by the opportunity to apply _machine learning_ to real-world challenges in design, manufacturing, construction, and media & entertainment.
**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!
**Benefits**
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting transparency**
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $119,800 and $206,690. 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.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

Job Description

Job Description

Research Engineer, Post-Training COOP/ Internship Hybrid - Brampton Weʼre looking for a co-op student whoʼs curious about how LLM agents behave in real-world applications—especially when it comes to hallucination, grounding, and evaluation. Youʼll be working on the post-training lifecycle of Themis Agents (e.g., knowledge base assistants, alarm summarizers, and SCADA-aware chatbots), ensuring that models are not only powerful but also accurate and trustworthy. Youʼll contribute to designing and running evaluation frameworks, comparing retrieval strategies, testing prompt chains, and analyzing model behavior across a range of tasks. This is a hands-on, research-oriented role ideal for someone with AI-related coursework and a passion for building better, safer AI systems.   What you’ll be doing? Evaluation & Grounding * Evaluate Themis Agents for accuracy, factual consistency, hallucination, and tool correctness. * Analyze grounding failures—when models “go off-scriptˮ from retrieved knowledge or internal documents. * Score and compare outputs across tasks like Q&A, summarization, and event reasoning Prompt & Retrieval Testing * Experiment with prompt templates, few-shot examples, and retrieval settings.    * Compare vector store search performance using embedding models, chunking strategies, and context window variations. * Run A/B tests across model versions and prompt chains. Tooling & Automation * Build or extend evaluation pipelines in Python and frameworks like * LangChain, OpenAI API, or Transformers. * Visualize and organize test results using tools like Streamlit, pandas, or Dash. * Help define “hallucination typesˮ and build reproducible test suites for failure tracking. You Might Be a Good Fit If You. * Are pursuing a Bachelorʼs degree in Computer Science, Engineering, Math, Physics, or a related field. * Have completed coursework in machine learning, natural language processing, or AI systems. * Enjoy debugging model outputs and understanding why a chatbot provided an unexpected answer. * Have worked on side projects involving chatbots, retrieval-based systems, or LLMs. * Can write clean Python code and think critically about accuracy, context, and grounding BonusPointsFor * Experience with LangChain, LlamaIndex, or RAG architectures. * Familiarity with evaluation frameworks like lm-eval-harness, RAGAS, or custom harnesses.   * Knowledge of vector databases (e.g., Qdrant) and prompt engineering techniques * Interest in the safety, reliability, or interpretability of AI agents. If you are interested in joining a growing organization in this exciting role, please submit your cover letter and resume. About Us: Themis Intelligence (a Survalent Company) is pioneering a new era of grid modernization through Human-Guided Intelligence (HGI) – blending AI with the real-world insight of utility operators. Our mission is to help utilities operate with greater foresight, resilience, and confidence by turning vast streams of operational data into reliable, actionable intelligence. Built for the physics of the grid and the people who manage it, our platform supports critical workflows: from forecasting and alarm analysis to outage response and SCADA-centric analytics – with AI agents designed specifically for utility environments. By combining deep technical rigor with an understanding of physical infrastructure, we enable smarter, faster decisions that drive safer and more efficient power delivery. Backed by Survalent’s long-standing leadership in ADMS, Themis Intelligence offers a modern foundation for data-driven decision-making in one of the world’s most essential sectors. We’re building tools that matter – systems that learn, adapt, and scale in lockstep with the evolving grid. For those passionate about solving high-impact problems at the intersection of AI, data, and energy, this is where your work can power the future. Survalent values a diverse workplace and strongly encourages women, people of all races, color, creed, ancestry, ethnic origin, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, marital status, family status, and those with disabilities to apply.  Survalent is an equal opportunity employer. We are committed to providing accommodation for people with disabilities. If you require accommodation, we will work with you to meet your needs.  While we appreciate the interest of all applicants, only those selected for an interview will be contacted