102 machine learning developer jobs at 56 companies in Niagara Falls, NY
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Machine Learning Engineer
Vancouver or Burnaby or Toronto or Calgary or Canada or Dublin or London or New York City or Sydney
$129k-$175k/yrHybridFull Time
Clio: Cloud-based legal practice management software and AI solutions.
Experience building ML, NLP and transformer-based models; data preprocessing for unstructured datasets; experience with LLMs and agentic frameworks; strong communication and rapid learning ability.
Movable Ink: Provides AI-powered content personalization for digital marketing campaigns.
5+ YOERequires 5+ years in AI/ML development, a master's degree or higher, deep learning expertise, PyTorch or TensorFlow, Python, scalable production ML systems, and technical leadership skills.
PyTorch, TensorFlow, Python, scikit-learn, XGBoost, Spark, Google Cloud Platform
Stripe: Provides global financial infrastructure and payment processing for businesses.
3+ YOE3+ years shipping ML systems to production; experience building feature pipelines, training and deploying models, and working with LLMs; preferred 5+ years software development and experience with LLM integrations.
NTENT: Develops semantic search and natural language processing technology platforms.
Graduate degree in Computer Science with strong ML background; proficient in Python/Scala; ML tools (scikit-learn, TensorFlow, PyTorch); distributed/streaming data (Hadoop, Spark, Kafka); API development with Docker/Kubernetes; NLP tasks.
TubiNASDAQ: FOXA: Free ad-supported video streaming service for movies and shows.
3+ YOE3+ years building production ML systems; degree in CS/ML/Statistics/Math; experience with deep learning frameworks (TensorFlow or PyTorch); production ML pipelines and strong statistics knowledge.
TD BankToronto Stock Exchange: TD: Provide retail, commercial, and wholesale banking and financial services.
Degree in CS, Statistics, Math, Engineering or related; strong ML/deep learning background; production ML platform experience; proficiency in Python/Java/C/C++; strong engineering judgment and communication.
LyftNASDAQ: LYFT: Provides an on-demand ride-hailing and multimodal transportation platform.
Experience designing, building, and deploying production ML systems (pricing, fraud, detection, LLM/agentic systems); familiarity with GenAI/LLM tools, graph-based ML, cloud ML services, and strong engineering practices.
OpendoorNASDAQ: OPEN: Digital marketplace for buying and selling residential real estate.
Senior-level experience shipping and operating production ML systems; strong Python, statistics, and end-to-end ML lifecycle expertise; familiarity with MLflow, Airflow, Spark, Delta Lake; willing to be located in Miami, Seattle, or Toronto.
Python, MLflow, Airflow, Spark, Delta Lake, Kafka, gRPC, Redis
Stripe: Provides online payment processing and financial infrastructure for businesses.
3+ YOE3+ years shipping ML systems to production, strong ownership, experience with streaming feature pipelines and model evaluation, collaboration skills, ability to deploy and scale ML models.
TWG: Software consultancy providing design, development, and digital transformation services.
3+ YOE3+ years production software experience, strong Python skills, experience with cloud infrastructure and Kubernetes, SQL/NoSQL databases, Linux systems, and focus on efficient, well-tested code.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
3+ YOEDesign and implement ML models and search/recommendation systems; proficiency in Python (Java preferred); experience fine-tuning LLMs; 3+ years relevant experience; MS/PhD preferred.
OpendoorNASDAQ: OPEN: Online platform for buying and selling residential real estate.
5+ YOESenior-level experience shipping production ML systems, strong Python, statistics, end-to-end ML lifecycle expertise, familiarity with MLflow/Airflow/Spark/Delta Lake, and ability to work across research, product, and operations.
Python, MLflow, Airflow, Spark, Delta Lake, Kafka, gRPC, Redis
EvenUp: AI-powered document generation and analysis for personal injury law.
5+ YOE5+ years building and deploying production ML systems; strong software engineering with Python, distributed systems, API design; ownership of full ML lifecycle; experience with NLP/LLMs preferred.
XeroASX: XRO: Cloud-based accounting software for small businesses and advisors.
Experienced in building scalable backend ML solutions in cloud environments; strong ownership, communication, and ability to translate ambiguous R&D into production; familiarity with Python, Kubernetes, GenAI, and ML concepts.
EquinixNASDAQ: EQIX: Provides global data center colocation and digital interconnection services.
5+ YOE5+ years in software/AI/ML engineering building production-grade systems; Bachelor's in CS/ML/Data Science; experience designing end-to-end AI systems, integrating LLMs and APIs, building model/data pipelines, and operationalizing ML into production.
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
2+ YOEMaster's or PhD in a quantitative field preferred, 2+ years applied ML experience, Python 3.x proficiency, experience with deep learning frameworks (PyTorch, JAX, TensorFlow), strong communication and software engineering practices.
Senior Machine Learning Engineer - News, Books, and Stocks Team
Toronto, Ontario, Canada
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design and apply machine learning solutions, collaborate with client and ML engineers on distributed systems, and solve complex production problems in media apps.
AutodeskNASDAQ: ADSK: Developing software for architecture, engineering, and entertainment industries.
3+ YOEMLOps engineer with 3+ years of DevOps/MLOps experience; strong IaC, containerization (Docker/Kubernetes), CI/CD, Python/Bash scripting; monitoring/logging; security and governance; collaboration with data engineers; cloud experience (AWS/Azure).
Empire Life: Canadian provider of life, health, and investment insurance products.
3+ YOEMaster's in a technical field preferred, 3+ years designing/deploying ML/AI solutions, strong Python and SQL, Azure and Snowflake experience, MLOps/observability knowledge, familiarity with LLMs, RAG, vector DBs, Kubernetes, Databricks.
Microsoft Azure, Snowflake, Python, SQL, Kubernetes, Databricks