SAP iXp Intern - AI & Data Engineer Foundation Model Location: Montreal, QC Expected start date ... Gain hands-on experiences with Python, Machine Learning/Deep Learning libraries & Knowledge Graphs.
SAP iXp Intern - AI & Data Engineer Foundation Model Location: Montreal, QC Expected start date ... Gain hands-on experiences with Python, Machine Learning/Deep Learning libraries & Knowledge Graphs.
A track record of contributing to high-quality research projects in deep learning. The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based ...
A track record of contributing to high-quality research projects in deep learning. The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based ...
Senior C# .NET Developer Computer Vision & AI (Permanent / Hybrid Montreal) Position: Senior C# ... Experience with Machine Learning / Deep Learning tools (nice-to-have). * Permission to work in ...
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Senior C# .NET Developer Computer Vision & AI (Permanent / Hybrid Montreal) Position: Senior C# ... Experience with Machine Learning / Deep Learning tools (nice-to-have). * Permission to work in ...
Sr. Full Stack Data Science Engineer
CA$154K - CA$199K/yr
Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models * Solid cloud ... Data Engineering : ETL/ELT Pipelines, Apache Spark Nice-to-Have * Experience in customer analytics ...
Sr. Full Stack Data Science Engineer
CA$154K - CA$199K/yr
Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models * Solid cloud ... Data Engineering : ETL/ELT Pipelines, Apache Spark Nice-to-Have * Experience in customer analytics ...
... deep-learning research institute. About The Role We are seeking a Research Scientist with a hybrid research-engineering mindset to join our team. In this role, you will be at the forefront of ...
... deep-learning research institute. About The Role We are seeking a Research Scientist with a hybrid research-engineering mindset to join our team. In this role, you will be at the forefront of ...
We are seeking a machine learning (ML) research developer to join our team working on a novel AI ... A track record of contributing to high-quality research projects in deep learning. What we offer
We are seeking a machine learning (ML) research developer to join our team working on a novel AI ... A track record of contributing to high-quality research projects in deep learning. What we offer
Benchmark and optimize model performance and efficiency along with ML engineers to ensure the ... A track record of contributing to high-quality research projects in deep learning. What we offer
Benchmark and optimize model performance and efficiency along with ML engineers to ensure the ... A track record of contributing to high-quality research projects in deep learning. What we offer
LLM Developer Senior Analyst
Montreal, QC · On-site
Minimum of 2 years in AI engineering, machine learning, deep learning and NLP solutions and applications. * Minimum 2 years of experience in designing & deploying AI / Machine Learning solutions ...
LLM Developer Senior Analyst
Montreal, QC · On-site
Minimum of 2 years in AI engineering, machine learning, deep learning and NLP solutions and applications. * Minimum 2 years of experience in designing & deploying AI / Machine Learning solutions ...
Field Applications Engineer (Integrated Photonics & AI) | Toronto, Hybrid
Montreal, QC · On-site
$150K - $250K/yr
By combining deep learning, formal logic, and physics-based modeling, the platform enables engineers and researchers to accelerate complex semiconductor and photonic development workflows through ...
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Field Applications Engineer (Integrated Photonics & AI) | Toronto, Hybrid
Montreal, QC · On-site
$150K - $250K/yr
By combining deep learning, formal logic, and physics-based modeling, the platform enables engineers and researchers to accelerate complex semiconductor and photonic development workflows through ...
AI Development Team Lead
Montreal, QC · Hybrid
Maya HTT is a world leading developer of digital industries software solutions. The world's top ... Strong background in deep learning (e.g., CNNs, transformers, detection/segmentation models)
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AI Development Team Lead
Montreal, QC · Hybrid
Maya HTT is a world leading developer of digital industries software solutions. The world's top ... Strong background in deep learning (e.g., CNNs, transformers, detection/segmentation models)
AI Development Team Lead
Montreal, QC · Hybrid
Maya HTT is a world leading developer of digital industries software solutions. The world's top ... Strong background in deep learning (e.g., CNNs, transformers, detection/segmentation models)
AI Development Team Lead
Montreal, QC · Hybrid
Maya HTT is a world leading developer of digital industries software solutions. The world's top ... Strong background in deep learning (e.g., CNNs, transformers, detection/segmentation models)
Recognized worldwide for its important contributions to the field of deep learning, Mila has ... In this role, the candidate will act primarily as a software engineer, playing a key role in ...
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Recognized worldwide for its important contributions to the field of deep learning, Mila has ... In this role, the candidate will act primarily as a software engineer, playing a key role in ...
Recognized worldwide for its important contributions to the field of deep learning, Mila has ... In this role, the candidate will act primarily as a software engineer, playing a key role in ...
Recognized worldwide for its important contributions to the field of deep learning, Mila has ... In this role, the candidate will act primarily as a software engineer, playing a key role in ...
Full Stack Data Science Engineering Specialist
Montreal, QC · On-site
CA$187K - CA$261K/yr
Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models * Solid cloud ... Data Engineering : ETL/ELT Pipelines, Apache Spark Nice-to-Have * Experience in customer analytics ...
Full Stack Data Science Engineering Specialist
Montreal, QC · On-site
CA$187K - CA$261K/yr
Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models * Solid cloud ... Data Engineering : ETL/ELT Pipelines, Apache Spark Nice-to-Have * Experience in customer analytics ...
Collaborate closely with machine learning developers and the machine learning platform team to ... deep learning and large language models, to real-world systems at scale. * Strong experience ...
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Collaborate closely with machine learning developers and the machine learning platform team to ... deep learning and large language models, to real-world systems at scale. * Strong experience ...
Collaborate closely with machine learning developers and the machine learning platform team to ... deep learning and large language models, to real-world systems at scale. * Strong experience ...
Collaborate closely with machine learning developers and the machine learning platform team to ... deep learning and large language models, to real-world systems at scale. * Strong experience ...
Collaborate closely with machine learning developers and the machine learning platform team to ... deep learning and large language models, to real-world systems at scale. * Strong experience ...
Quick apply
Collaborate closely with machine learning developers and the machine learning platform team to ... deep learning and large language models, to real-world systems at scale. * Strong experience ...
Aperçu des initiatives En tant que Staff AI Developer chez EXFO, vous aurez l'opportunité de ... Capacité à choisir entre deep learning et approches classiques. * Optimisation pour ...
Aperçu des initiatives En tant que Staff AI Developer chez EXFO, vous aurez l'opportunité de ... Capacité à choisir entre deep learning et approches classiques. * Optimisation pour ...
Apercu des initiatives En tant que Staff AI Developer chez EXFO, vous aurez l'opportunite de ... Capacite a choisir entre deep learning et approches classiques. * Optimisation pour environnements ...
Apercu des initiatives En tant que Staff AI Developer chez EXFO, vous aurez l'opportunite de ... Capacite a choisir entre deep learning et approches classiques. * Optimisation pour environnements ...
... engineer solutions for stronger communities and a sustainable world. BrainBox AI utilizes self ... Using deep learning, cloud-based computing, and our proprietary process, our solution autonomously ...
... engineer solutions for stronger communities and a sustainable world. BrainBox AI utilizes self ... Using deep learning, cloud-based computing, and our proprietary process, our solution autonomously ...
Deep Learning Engineer information
See Quebec salary details
$90.5K - $103K
2% of jobs
$103K - $115.5K
3% of jobs
$115.5K - $128K
6% of jobs
$128K - $140.5K
6% of jobs
$151.7K is the 25th percentile. Wages below this are outliers.
$140.5K - $153K
8% of jobs
$153K - $165.5K
16% of jobs
The median wage is $170.2K / yr.
$165.5K - $178K
22% of jobs
$185.9K is the 75th percentile. Wages above this are outliers.
$178K - $190.5K
18% of jobs
$190.5K - $203K
12% of jobs
$203K - $215.5K
3% of jobs
$215.5K - $228K
3% of jobs
$90.5K
$169.3K
$228K
How much do deep learning engineer jobs pay per year?
What is a Deep Learning Engineer job?
A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.
What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?
To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.
What are the typical daily tasks and responsibilities of a Deep Learning Engineer?
Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.
Job description
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
About the SAP Internship Experience Program
The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers.
Three reasons to intern at SAP
Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.
Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
Gain visibility: with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.
What you’ll do
Position title: SAP iXp Intern - AI & Data Engineer Foundation Model
Location: Montreal, QC
Expected start date: June 2026 (8 months)
- Collaborate with Applied AI Researchers and AI Engineers to support data needs for various research projects.
- Develop opportunities to shape and have an influential impact on the future of SAP’s AI portfolio and its suite of enterprise software products.
- Work with cloud platforms for data processing, data lakes, and model training providers.
- Gain hands-on experiences with Python, Machine Learning/Deep Learning libraries & Knowledge Graphs.
- Develop and maintain data pipelines for structured data powering the training of Foundational Models for Tabular Data.
- Build innovative tools to enrich and scale the training of large machine models on enterprise software data
What you bring
We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.
- Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Data Science or a related field.
- Good communication and teamwork abilities.
- Strong understanding of Machine Learning algorithms and Deep Learning pre-training & fine-tuning techniques, particularly in the context of structured data.
- Experience in Python for Data Science and experience with Machine Learning framework for Deep Learning
- Experience with cloud-based Data Lakes & data processing pipeline on large volumes of data (e.g., Azure ML, Databricks, Apache Spark).
- Knowledge or experience working with SAP ERP Software (such as S/4HANA or ECC) and SAP BTP is a plus.
- Knowledge of version control systems like Git and familiar with using Unix or windows-based command lines.
- Bachelor's or Master's degree (ongoing or recently completed)
Meet your team
Language foundational models, like LLMs, have been pivotal in driving generalization across various NLP tasks. Our SAP Foundation Model Team for structured data aims to establish a centralized foundation with graph and generative intelligence that can effectively support cross-SAP AI use cases, particularly for tabular AI tasks.
The success of this foundation model depends heavily on several factors, including the quality, type, format, volume, and scheduling of the pre-training data. This makes the data pipeline and overall data strategy critical to its success.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the hourly base salary rate range applicable for the posted role. The targeted range for this position is 18.00 -40.00 CAD. The actual amount to be offered to the successful candidates will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. SAP offers limited benefits for employees hired into hourly or like roles subject to appliable plan/policy terms. A summary of benefits and eligibility requirements can be found by clicking this link: www.SAPNorthAmericaBenefits.com.
Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 448285 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid
About SAP Software & Solutions
Sourced by ZipRecruiter
Industry
Computer and computer peripheral equipment and software wholesalers
Company size
10,000+ Employees
Headquarters location
Newtown Square, PA, US