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Deep Learning Engineer Jobs in Alberta (NOW HIRING)

Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy ... Deep experience with Kafka and streaming data movement patterns * Strong GKE/Kubernetes experience ...

Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy ... Deep experience with Kafka and streaming data movement patterns * Strong GKE/Kubernetes experience ...

$90 - $120/hr

... deep sense of belonging. The successful candidate will embrace and support diverse learners while ... The presence of specialized programming alongside early learning opportunities contributes to a ...

... deep understanding of our cloud-based software platform, artificial intelligence, machine learning ... Previous/Current Oil & Gas Engineering Sales experience is preferred. * Excellent ability to manage ...

With an unmatched breadth and depth of engineering, advisory and sciencebased expertise, our global ... We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting ...

Senior Civil Design Technician

Calgary, AB ยท On-site

CA$89K - CA$118K/yr

With an unmatched breadth and depth of engineering, advisory and sciencebased expertise, our global ... We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting ...

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Deep Learning Engineer information

See Alberta salary details

$90.5K

$169.3K

$228K

How much do deep learning engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for deep learning engineer in Alberta is $169,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,500.00 and $188,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Engineer or AI research director, often involving advanced skills in machine learning frameworks, data modeling, and large-scale system development. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge AI research environments.

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 engineers make $500,000?

Senior engineers in high-demand fields such as software, data science, and machine learning can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like senior software engineers, machine learning engineers, and data architects at large tech companies or startups often reach this compensation level through base salary, bonuses, and stock options.

What do deep learning engineers do?

Deep learning engineers develop and implement neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. They work with large datasets, use frameworks like TensorFlow or PyTorch, and often require knowledge of programming, mathematics, and machine learning principles.

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.

What engineers make $300,000 a year?

Senior deep learning engineers and AI specialists with extensive experience, advanced skills in machine learning frameworks, and strong domain knowledge can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as technology, finance, or healthcare, typically involving leadership responsibilities and complex project management.
What are popular job titles related to Deep Learning Engineer jobs in Alberta? For Deep Learning Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Alberta look for? The top searched job categories for Deep Learning Engineer jobs in Alberta are:
Infographic showing various Deep Learning Engineer job openings in Alberta as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $169,298 per year, or $81.4 per hour.

Senior Backend Engineer - Features Team

Samdesk

Edmonton, AB โ€ข On-site, Remote

Full-time

Posted 8 days ago


Job description

Who We Are

Samdesk is a global disruption monitoring platform delivering real-time crisis alerts 24 hours a day, 365 days a year, powered by AI. We make sense of the world's most valuable real-time data sources with a singular purpose: to create a safer world. Headquartered in Edmonton, Alberta, Canada, with team members distributed around the globe, we work with some of the largest brands in the world - including DoorDash, Meta, Uber, Ford, and NATO. We are a growing team of builders and problem-solvers who are deeply passionate about the products and services we create.


Check us out!
www.samdesk.io


About the Role

The Senior Backend Engineer on the Features Team plays a pivotal role in building the apps and API's that our customers use to access Samdesk's automated alert pipeline data. You will be architecting and building the systems that bridge a firehose of data into customer relevant information.

You will own the design and implementation of our data pipeline and APIs, orchestrate the interplay between our LLMs and data pipeline, and build the internal tooling that our operations, ML, and product teams rely on daily. You will work at the intersection of large-scale data systems and cutting-edge AI infrastructure, and your decisions will have a direct impact on system reliability and the quality of alerts delivered to users around the world.


This role reports into the Features Team and collaborates closely with machine learning, infrastructure, and product.


Responsibilities

Pipeline & API Engineering

  • Implement and iterate on microservices and APIs consumed by the alert pipeline and samdesk applications
  • Add new data sources to the pipeline, ensuring correct parsing, enrichment, and routing
  • Identify and resolve bottlenecks in dataflow before they reach production
  • Design and document APIs for consumption by front-end teams and external integrations
  • Report on health of key system components

AI Agent Development & LLM Orchestration

  • Design and implement AI agents that coordinate LLM inference with our real-time data pipeline
  • Build and maintain the orchestration layer governing how language models interact with structured pipeline outputs
  • Integrate with OpenAI and Anthropic APIs, including prompt engineering, tool use, and response handling at scale
  • Ensure agent workflows are observable, testable, and fault-tolerant in production

Internal Tooling

  • Architect and deliver internal tools used by operations, ML, and QA teams to monitor, debug, and improve alert quality
  • Identify gaps in developer and analyst workflows and build solutions that meaningfully reduce toil

Technical Excellence

  • Contribute to the roadmap and participate in architectural decision-making
  • Set the bar for code quality through rigorous code review and mentorship
  • Ensure adequate test coverage across components so systems can be safely extended
  • Decompose complex requirements into accurate effort estimates

Qualifications & Skills

Required

  • 5+ years of professional software engineering experience with a strong backend focus
  • Expert-level proficiency in Node.js (TypeScript) and/or Python
  • Hands-on experience with OpenAI and/or Anthropic APIs, including tool use, streaming, and prompt management
  • Deep experience designing and building scalable REST or GraphQL APIs
  • Experience with Docker and containerized application architecture
  • Expertise leveraging AI Coding tools

Nice to Have

  • Experience with real-time data pipelines or event-driven architectures
  • Familiarity with LLM evaluation frameworks, observability tooling, or RAG architectures
  • Background in safety-critical or high-availability systems
  • Demonstrated experience building and operating AI agents or LLM-powered systems in production
  • Solid working knowledge of AWS services: ECS, SQS, S3, CloudWatch
  • Production experience with MongoDB and Apollo GraphQL

You'll Thrive Here If

  • You bring genuine intellectual ownership to the systems you build - you think about them when you're not at your desk
  • You have strong opinions, loosely held. You argue for the right solution, not your solution
  • You've led architectural decisions in complex, fast-moving environments and know when to move and when to slow down
  • You can translate ambiguous product requirements into well-scoped technical plans without a playbook
  • You take production reliability personally and are proud about that time you took 7s down to 400ms


Samdesk is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.


The position is based out of Edmonton, AB but we may also consider remote candidates. Please note that only candidates selected for the interview process will be contacted. Thank you!