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Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Application Deadline: 09/12/2026 Address: 33 Dundas Street West Job Family Group: Technology BMO is seeking a Machine Learning Developer to join our team in Toronto. This role is ideal for an early-career professional…
Essential Functions : Translates the Company’s enterprise strategy into an actionable AI/ML roadmap focused on dental manufacturing, digital workflows, customer experience, knowledge access, marketing, operational…
Machine Learning Engineer on Apple's ML Platform Technology team, building large-scale ML systems and data curation infrastructure that power Apple Intelligence and foundation models behind Siri, Search, Music, and other services. Work focuses on optimizing multi-billion-parameter language, vision, and speech models for production-scale serving using frameworks like PyTorch, TensorFlow, or JAX.
Machine Learning Research Engineer who builds ML systems to predict protein functionality and accelerate food-science R&D, plus applies AI (agents, internal tools) across the company. Core stack: Python with PyTorch/JAX/TensorFlow, and methods like protein representation learning, graph/geometric deep learning, generative/diffusion models, active learning, and Bayesian optimization.
Machine learning engineer on DPG Media's AdData team, building data-driven ad analytics solutions for advertising in Belgium and the Netherlands. The role combines multi-source data into campaign performance models and owns ETL/MLOps, model monitoring and dataflow improvement using AWS, Spark, Databricks, PySpark, Python and Scala.
The Reality Labs organization is helping more people around the world come together and connect through Wearables and Virtual Reality products. With global departments dedicated to research and development in computer…
Who We Are At Firestorm, we are building the future of expeditionary defense manufacturing and autonomous systems. Modern conflict has exposed a fundamental problem: the systems needed most by operators are often too…
A senior engineer who designs and runs large-scale distributed production systems powering Xero's AI features for millions of users, owning architecture, tech debt, and mentoring. Core stack is Python, SQL, Spark/Dask, AWS, and Kubernetes, with a focus on productionizing ML and LLM features alongside Applied Scientists.
Leads AI/ML-driven physical design flows for semiconductor IP, optimizing RTL-to-GDS methodologies to improve performance, power, and area (PPA) and runtime across advanced nodes.
Develops and optimizes high-performance C++ components for training machine learning models on custom silicon, working closely with compiler and kernel teams to scale AI workloads efficiently.
Develops and optimizes AI models (LLMs/vision) for custom hardware, tuning performance and accuracy across software, compiler, and hardware layers.
A Machine Learning Research Engineer working on LLM training, inference optimization, and large-scale distributed compute for Tenstorrent's custom AI accelerators, using Python, PyTorch, and techniques like speculative decoding and distributed training.
Build and scale LLM infrastructure, RAG systems, and agentic AI for enterprise search and assistants, working with Python/Go/Java.
Build and deploy ML models to optimize driver assistance services using Python and AWS SageMaker, collaborating with cross-functional teams to improve operations and customer satisfaction.
Machine Learning Engineer at Capable Labs (San Francisco, on-site) building ML systems that remove bottlenecks in drug discovery and development. Day-to-day involves fine-tuning biomolecular models (ESM, AlphaFold-family, RFdiffusion, ProteinMPNN), building tools for scientists, and connecting model predictions to wet-lab results.
Research scientist at an MIT-born, venture-backed startup building an AI copilot for design and manufacturing. You'll develop geometry processing and simulation algorithms, build services for 2D/3D CAD/CAE/CAM data, create datasets and rendering modules, and optimize ML post-training workflows. Core stack is Python and machine learning.
Within Monetization (Ads), the Experimentation team is responsible for Measurement Statistics, Measurement Correctness, and Measurement Infrastructure, which underpins model-based experimentation. Every change to our…
Develops and optimizes large-scale vision-language models for autonomous vehicle perception, training pipelines on multimodal sensor data to improve real-world driving decisions.
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