ML Engineer Jobs in Calgary.
All active ML Engineer roles based in Calgary.
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MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.
We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.
This role will be based out of North America in the PST and MST zones only.
The ideal candidate for this role will have
- 2+ years of engineering experience in backend systems, distributed systems, or core platform development
- Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
- Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
- Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
- Exposure to client-side technologies such as JavaScript and React is a plus
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
Nice to Have
- Familiarity with cloud-native distributed systems (e.g., Kubernetes)
- Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
- Contributions to relevant open-source projects
Position Expectations
- Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
- Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
- Work to develop robust and efficient backend services that orchestrate AI functionalities
- Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
- Participate actively in code reviews to enforce best practices and patterns
- Help troubleshoot and resolve complex technical issues in our distributed systems
- Give and solicit feedback on technical design documents and pull requests
- Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures
Within the first three months, you will have:
- Familiarize yourself with the MongoDB database and aggregation language
- Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
- Familiarised yourself with the rest of our the application modernization tool stack
- Delivered at least one large scale feature that spans the entire tech stack
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Become a key contributor to our backend stack, capable of taking on complex features independently
- Helped recruit and interview new members of the team
- Collaborated effectively with other teams at MongoDB on cross-functional projects
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID: 425547
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
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Machine Learning Engineer (Remote)
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
What you'll be doing:
- Design modular and scalable real time data pipelines to handle huge datasets
- Understand and implement custom ML algorithms in a low latency environment
- Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
What you'll bring to the table:
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have deep understanding of algorithm and software design, concurrency, and data structures
- Experience in implementing probabilistic or machine learning algorithms
- Interest in designing scalable distributed systems
- A high GPA from a well-respected Computer Science program
- Enjoy working in a friendly, collaborative environment with others
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Senior/Staff Machine Learning Engineer
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
What you'll be doing:
- Design modular and scalable real time data pipelines to handle huge datasets
- Suggest, implement, and coordinate architectural improvements for big data ML pipelines
- Understand and implement custom ML algorithms in a low latency environment
- Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
What you'll bring to the table:
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
- Have deep understanding of algorithm and software design, concurrency, and data structures
- Experience in implementing probabilistic or machine learning algorithms
- Experience in designing scalable distributed systems
- A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company
- Enjoy working in a friendly, collaborative environment with others
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Senior Software Engineer, Stats & Analytics - Data Platform
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
StackAdapt is a Remote First company, and we are open to candidates located anywhere in the United States or Canada.
What You'll Be Doing:
- Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning.
- Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance.
- Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing.
- Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.
- Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.
- Contribute to technical discussions, code reviews, and system design sessions.
- Take ownership of features and projects, driving them from concept to production.
What You'll Bring to the Table
- Strong background in software engineering, data engineering and distributed systems, ideally at scale (terabytes+).
- Hands-on experience with modern data warehouses, lakes, and compute/storage technologies (e.g., Snowflake, Pinot, TiDB, Spark, Airflow, Kafka, Trino/Presto).
- Experience designing and building robust ETL pipelines and real-time streaming processes.
- Solid understanding of data governance, lineage, and cost optimization in cloud environments.
- Ability to write clean, maintainable, and performant code in production systems.
- Strong problem-solving skills and ability to collaborate across teams.
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Solution Architect – Generative AI (Azure AI Stack)
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Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
Key Responsibilities
This role is ideal for someone passionate about transforming business processes through large language models (LLMs), multi-agent orchestration, and scalable AI infrastructure.
Skills, Knowledge and Expertise
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in cloud solution architecture, with a strong focus on generative AI.
• Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
• Deep understanding of LLM orchestration, agent frameworks, and RAG architectures.
• Proficiency in Python and experience with cloud-native development.
• Familiarity with Azure services such as Azure AI Foundry, Azure Functions, Azure AI Search, Azure Storage, and containers in Azure.
• Strong communication and stakeholder engagement skills.
Preferred Skills
•Experience with Azure AI Foundry or similar enterprise LLM lifecycle platforms.
• Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert).
• Experience with MLOps, CI/CD for AI workloads, and responsible AI practices.
• Familiarity with Semantic Kernel, or other orchestration frameworks.
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ready to apply?
Apply to Lantern
Software Engineer, Backend
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
What you'll be doing:
- Building highly scalable, distributed real-time micro-services primarily written in Go
- Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB
- Build software that utilize messaging queues such as Kafka, SQS, and Kinesis
- Write performance efficient and memory optimized code
We'll be reaching out to candidates that have:
- 2+ years of experience as a Backend Software Engineer.
- Very strong problem solving skills in data structures, algorithms, and optimization
- Experience working with relational databases and/or key-value stores
- Experience building scalable micro-services and distributed systems
Teams Hiring at StackAdapt 
Bidding Team (AdTech at Scale)
- Build and optimize the real-time microservices that automatically purchase ad inventory across web, mobile, CTV, and more.
- Work on low-level performance optimizations, high-throughput systems, campaign pacing algorithms, and ML model integrations that directly impact how millions of dollars are spent efficiently every day.
- Ideal for engineers with hands-on AdTech experience, especially with bidders, open exchanges, and bid streams, who thrive in high-scale, low-latency environments.
Marketing Execution (MarTech Meets AdTech)
- Join a backend team doing something different: building the foundation for marketing tech, i.e. Email, Direct Mail and SMS marketing as part of StackAdapt’s broader MarTech vision.
- Help bridge MarTech and AdTech to create a smarter, more connected marketing platform that allows brands to conduct their advertising and marketing strategies in one place.
- Perfect for engineers excited by greenfield development, working on high-throughput event-driven systems, and shaping how marketing technology evolves at StackAdapt.
Integrations - Solutions (Platform Expansion & Partnerships)
- Develop specialized integrations that unify the fragmented AdTech ecosystem into a single, powerful StackAdapt platform - eliminating the need for advertisers to juggle multiple tools.
- Collaborate closely with internal product teams and external data partners to deepen product capabilities, unlock new use cases, and drive platform growth.
- A great fit for engineers who enjoy complex integrations, data-heavy systems, and building scalable solutions that expand market reach.
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt