16 platform ml engineer jobs at 14 companies in Sumas, WA
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Senior ML Engineer, ML Platform - GFT
Vancouver, British Columbia, Canada
OnsiteFull Time
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
3+ YOEBachelors degree in a technical field,3+ years software/data/MLOps experience,1+ year AWS experience,container and Linux skills,Python and PySpark proficiency,CI/CD and hybrid cloud deployment experience.
lululemonNASDAQ: LULU: Designs and retails technical athletic apparel and lifestyle products.
6+ YOEBachelor's in CS/ML or related, 6+ years building AI/ML production solutions, experience with MLOps, model evaluation, LLM/GenAI systems, mentoring, and platform engineering.
XeroASX: XRO: Cloud-based accounting software for small businesses and advisors.
Senior backend/platform engineering experience building APIs and SDKs at scale; strong proficiency in C#, Go, or Java; experience with gRPC, event-driven architectures, API lifecycle/versioning, and mentoring engineers; exposure to LLM/ML or agentic systems preferred.
Director & Principal Engineer, AI/ML & MLOps Platform
Vancouver, British Columbia, Canada
OnsiteFull Time
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
8+ YOE3+ Mgmt8+ years designing data-intensive applications, 3+ years senior technical leadership; deep ML/MLOps, distributed data processing, cloud and IaC experience; proficiency in Python/Java/Scala, PySpark/Spark, Kafka, SQL.
Eyeline: Global creative studio providing visual effects and virtual production services.
10+ YOE10+ years software engineering,5+ years engineering leadership,experience with USD and Houdini,strong communication,designing artist-friendly pipelines and integrating ML/Generative AI.
lululemonNASDAQ: LULU: Designs and retails technical athletic apparel and lifestyle products.
11+ YOEBachelor's in CS/data science/engineering or equivalent; PhD preferred. 11+ years AI/ML research experience; deep expertise in generative AI, NLP, CV, multimodal learning, time-series; expert-level experience with Python and PyTorch and cloud ML platforms; ability to translate research into production and influence executives.
AutodeskNASDAQ: ADSK: Developing software for architecture, engineering, and entertainment industries.
5+ YOE5+ years in DevOps/MLOps; BS/MS in CS or related field; IaC (Terraform/Ansible); Docker/Kubernetes; CI/CD; Python/Bash; monitoring/logging (Prometheus, Grafana, ELK); security/compliance awareness; collaboration across data engineers and developers.
Electronic ArtsNASDAQ: EA: Develops and publishes video games and interactive entertainment software.
5+ YOEBachelor's degree or equivalent experience; 5+ years game/tool engineering with C++ and C#; 2+ years practical ML/Generative AI experience; proficiency with Python, C++, TensorFlow or PyTorch; experience with console platforms and distributed system design.
Vancity: Member-owned credit union providing banking and financial services.
10+ YOE10+ years ML engineering or related experience; Bachelor’s degree in CS/Math/Statistics or related; strong Python and SQL; experience productionizing ML with Azure ML, Databricks, MLflow; proficiency with ML frameworks and cloud platforms.
Python, SQL, PyTorch, TensorFlow, Scikit-learn, Azure Machine Learning, Databricks, MLflow, UiPath, Microsoft Power Automate, AWS, GCP, Microsoft Power BI, Tableau
Ledcor: North American construction and infrastructure services provider.
10+ YOEBachelor's degree required (Master's preferred), 10+ years leading data/analytics delivery portfolios, experience scaling delivery processes and onboarding complex data domains, knowledge of data engineering/BI lifecycles, governance, AI/ML data readiness, and modern data stack tooling.
Microsoft Azure, Snowflake, Databricks, Microsoft Purview, Collibra, Alation, Microsoft Power BI
Match GroupNASDAQ: MTCH: Operates a portfolio of global online dating applications.
5+ YOE5+ years ML engineering experience, productionizing ML/LLM solutions, strong deep learning and statistics background, Python and SQL proficiency, experience with PyTorch/TensorFlow and cloud platforms (GCP).
Motorola SolutionsNYSE: MSI: Provides mission-critical communications and public safety technology.
4+ YOESenior C++ engineer with 4+ years in software development; experience with embedded camera systems, AI model deployment on embedded platforms; strong Linux experience; OpenCV and ML frameworks preferred.
MastercardNYSE: MA: Global payment processing and financial technology service provider.
Senior-level experience building scalable data pipelines and ML model lifecycle systems; strong Python and SQL skills; experience with Databricks/Apache Spark and cloud platforms (AWS or GCP); strong communication and problem-solving.
Engineering Manager, Machine Learning Platform and Infrastructure - North Vancouver, British Columbia, Canada
North Vancouver, British Columbia, Canada
$150k-$200k/yrOnsiteFull Time
Koch Inc.: Operates global manufacturing, refining, and industrial technology businesses.
5+ YOE2+ Mgmt5+ years in software/infrastructure/data engineering; 2+ years leading technical teams; deep AWS/Kubernetes knowledge; Python; familiarity with the ML lifecycle.
Python, AWS, Kubernetes, MLOps, Data Science tools
Machine Learning Engineer, AICE - AI Center of Excellence
Vancouver, British Columbia, Canada
$115k-$192k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
2+ YOEBachelor's in CS, 2+ years professional software development, 1+ years designing/operationalizing AI/ML systems, experience with software development practices, and ability to build reusable libraries and platform capabilities.
Semios: Providing precision agriculture and farm management software solutions.
10+ YOEBachelor's or Master's in a relevant field; 10+ years product management experience with data platforms, APIs, and SaaS analytics; technical fluency with data pipelines and cloud systems; experience partnering with engineering and data science; IoT/geospatial/ML preferred.
data platforms, APIs, SaaS analytics, data pipelines, cloud systems