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QA engineer responsible for comprehensively testing PCIe switch solutions—validating functionality, performance, and compliance across configurations—using Python-based test automation and deep PCIe protocol expertise (Gen3+).
The Position 2027 Spring Intern - OpRegen Machine Learning Department Summary The OpRegen ML team develops machine learning tools that help us understand the biology behind the OpRegen manufacturing process and give…
Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed…
2027 Spring Intern - OpRegen Machine Learning Department Summary The OpRegen ML team develops machine learning tools that help us understand the biology behind the OpRegen manufacturing process and give our teams…
Lead Data Scientist Location: 121 Bloor St E, Toronto, Canada (5 days onsite) Summary Our Purpose - We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions…
The DL Performance Software Engineer will architect and optimize high-performance LLM inference systems, focusing on GPU kernel development and serving efficiency. The role involves working with frameworks like vLLM and PyTorch to advance AI serving infrastructure through research and production-grade software engineering.
Data Scientist – Job Description (10+ Years Experience) Job Title: Data Scientist Experience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics Location: Canada Role…
Company Sixone’s mission is to enable a world where blended plastics products can be circularly recycled back into existing supply chains instead of being sent to landfill. Sixone is developing technologies to enable…
Design and deploy end-to-end AI/ML solutions on AWS for enterprise customers, from proof-of-concept to production, using cloud-native tools and modern architectures.
The Engineering Manager for Machine Learning will lead and grow the ML team at iHealth Labs, overseeing the end-to-end development and deployment of AI technologies within their digital health product suite. This on-site role requires expertise in deep learning, MLOps, and cloud platforms to build compliant, high-impact healthcare solutions.
Builds and deploys generative AI models (text-to-image, image editing) for Ideogram’s creative tools, bridging research and product to improve user workflows and system reliability.
Lead the design, development, and deployment of AI and ML models and systems, focusing on scalability, reliability, and performance. Collaborate with cross‑functional teams, including data scientists, software…
We are seeking highly skilled and motivated software engineers to join us and build AI inference systems that serve large-scale models with extreme efficiency. You'll architect and implement high-performance…
Lead ML research engineering at RBC Borealis, delivering AI projects end-to-end—from data preprocessing to production—using Python and deep learning frameworks (PyTorch/JAX/TF) on large-scale datasets for NLP, generative AI, and time series problems.
Senior Research Engineer bridging experimental ML research and production systems, implementing and optimizing deep learning architectures in PyTorch to support AI-driven drug discovery and RNA biology at Deep Genomics.
Lead ML product engineering efforts—designing data pipelines, feature generation, inference pipelines, and model delivery systems—using big data frameworks like Spark, Kafka, and Cassandra with Scala/Java on Azure/AWS.
We’re looking for best in class engineers to join our existing top-notch team. When you join Untether AI, you will be part of a team that designs, develops and verifies the software that interacts with our chip,…
Staff Data Scientist/Engineer builds and deploys AI/ML systems for UKG’s workforce management platform, focusing on large-scale workforce data analysis, generative AI, and agent-based workflows to drive measurable business impact.
Senior Data Scientist at Pinterest leading Trust & Safety and Content Quality measurement—designing sampling frameworks, prevalence tracking, and statistical methodologies using Python, SQL/Spark, and ML frameworks like PyTorch/TensorFlow.
The Senior AI/ML Infrastructure Engineer builds and maintains the platform, tooling, and Kubernetes-based infrastructure required to train and deploy large-scale machine learning models. The role focuses on enabling ML engineers and researchers through scalable platform SDKs and GPU-optimized compute environments.
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