Nearform is hiring a Senior Software Engineer (Python & AI) based in Canada for a permanent, full-time role. Responsibilities include designing and building Python applications, data storage solutions, performance optimisation, testing, CI/CD and collaborating with client teams. Candidates typically have at least 8 years commercial experience, deep Python and AI framework knowledge (including agentic frameworks), Git/version control experience, and professional English. The role requires travel to U.S. client sites; visa sponsorship is not available. Salary range advertised: 150,000 - 175,000 CAD plus bonus and benefits.

Senior (Staff) ML engineering role at Reddit working end-to-end on large-scale ML systems across recommendation, search, messaging, and foundational AI. Responsibilities include architecting and deploying retrieval/ranking and representation learning models, productionizing LLM/GenAI capabilities, driving measurable user impact, mentoring engineers, and contributing to technical strategy and responsible AI practices. Requires 7+ years of production ML experience and hands-on experience with TensorFlow/PyTorch/Hugging Face, Python and Golang.

Lead design and implementation of Reddit's platform for large-scale ML models, including end-to-end MLOps (data prep, experiment tracking, model management), distributed GPU training, and graph ML pipelines. Role expects 8+ years in ML infrastructure with experience in cloud tools (GCP BigQuery, Google Cloud Storage), infrastructure-as-code (Terraform), MLOps tools (MLflow/Wandb), Python and ML frameworks (PyTorch/TensorFlow), and distributed frameworks (Ray, Kubernetes). Experience with graph databases and GNN frameworks is a plus.

Senior ML Infrastructure Engineer responsible for designing end-to-end model lifecycle patterns (MLOps), building and supporting graph ML codebases and platforms, optimizing distributed GPU training and batch data processing, and architecting pipelines for massive graph datasets. Role emphasizes scalability, reliability, performance, and collaboration with ML teams.

Remote staff role responsible for developing probabilistic identity resolution, advancing brand and conversion lift methodologies, designing evaluation frameworks and ground truth, defining and quantifying signal value for predictive models, and leading cross-functional initiatives. Requires an advanced degree (MS with 10+ years or PhD with 6+ years) and strong skills in statistical programming (Python/R), SQL, experimentation, causal inference, and machine learning.

Senior role owning measurement, identity resolution, experimentation methodology, and signal strategy to improve ad performance and attribution. Requires an advanced degree (M.S. or Ph.D.) with substantial industry experience (Ph.D.: 6+ years; M.S.: 10+ years). Remote-friendly US position.

Planner 5D seeks an AI/Machine Learning Researcher to conduct applied research on problems related to home design using images, video, text and 3D data (point clouds, meshes). The role involves hypothesis generation, experiments, model training/evaluation, and building prototypes/MVPs for production. Requires 4+ years experience, strong math and CS background, proficiency in Python and ML libraries (NumPy/SciPy/Pandas) and experience with TensorFlow or PyTorch.

Join NVIDIA as a Senior Localization Engineer working on map-enhanced autonomous driving: design and implement robust localization solutions using navigation and crowd-sourced maps, process large real and synthetic datasets, and write safe, high-performance real-time C++ code with CUDA. Role expects experience in computer vision, 3D geometry, mapping/localization and adherence to automotive safety/quality standards (MISRA, ISO26262). Degree-and-experience requirements: PhD+2 years, MS+4 years, or BS+6 years. Posted salary ranges provided by location and level (USD).

Work analyzing high-dimensional telemetry and workload data from GPU-accelerated clusters to find platform and application improvement opportunities, produce visualizations and lightweight ML/DL implementations, and document analyses for team use. Requires 5+ years analyzing complex datasets, strong Python and JavaScript, hands-on experience with telemetry/observability stacks (e.g., Grafana, Elasticsearch, Splunk), and familiarity with ML concepts; BS/MS in a technical field or equivalent experience.

Lead design and delivery of ML solutions (Generative AI, RAG, LLM fine-tuning, Graph ML) and high-performance microservices for real-time inference. Requires 5+ years software lifecycle experience, strong Python expertise, experience with Triton/TensorRT, containerization (Docker/Kubernetes), cloud platforms (AWS/Azure/GCP), and prior leadership/mentoring experience.

Responsible for designing, building, and operating AI-based features (including LLMs, agent-driven experiences, RAG, and prompt engineering) across frontend and backend stacks. Requires 5+ years of software engineering experience, strong TypeScript/JavaScript and backend skills (Node.js/Go/Java), experience shipping AI/ML integrations in production, and familiarity with observability and telemetry systems.

Work on analyzing deep learning networks and implementing compiler optimization algorithms for AI inference across NVIDIA GPUs. Collaborate with deep learning framework and GPU architecture teams; require 3+ years relevant experience, strong C/C++ and Python skills, and experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton).

NVIDIA is hiring a Senior Machine Learning Applications and Compiler Engineer to build and maintain high-performance runtime and compiler components for the LPX inference stack. Responsibilities include mapping large-scale inference workloads to NVIDIA systems, extending software ecosystem libraries and tooling, benchmarking and profiling for performance, and collaborating with hardware architects. Requires MS/PhD (or equivalent) with 6 years relevant experience, strong systems programming skills (C/C++ and/or Rust), compiler/runtime development experience (IR design, passes, code generation), familiarity with LLVM/MLIR, and experience with TensorFlow, PyTorch, and ONNX.

Join NVIDIA's Architecture Modeling group to model GPU architectures and baseboard components, develop and validate functional and performance simulation models, and build testing infrastructure. Requires 5+ years' experience, strong C/C++ and scripting skills (Python/Perl), familiarity with SystemC/TLM, and experience with ML frameworks such as PyTorch and TensorFlow.

Role responsible for improving ML training and inference efficiency across GPU clusters by debugging and optimizing software and infrastructure, building tools and frameworks to detect bottlenecks, collaborating with researchers across domains (LLMs, robotics, autonomous vehicles, video), and working with technologies such as CUDA, NCCL, Nsight, distributed training, cloud platforms, and fast distributed storage.

Udacity (an Accenture company) seeks experienced AI practitioners to mentor and deliver structured live sessions (10–200 participants) on AI fundamentals, GenAI/LLMs, RAG, practical AI use cases, and enterprise adoption. Role requires 3+ years in AI/ML, data science, or applied AI, experience presenting or teaching, and strong English communication. Mentors work independently and set their own schedules.

Udacity (an Accenture company) seeks an independent-contractor AI Mentor to guide managers and executives through business-focused AI coursework and projects. The role requires 5+ years in AI/ML/Data Science or AI product roles, direct production deployment experience, familiarity with generative AI (LLMs, RAG), agentic systems, model evaluation, and working with business stakeholders. Mentors provide practical, applied guidance, facilitate group sessions, and adapt explanations to varied technical fluency.

Join Invicti's AI team to design and implement autonomous agent systems and LLM-powered features focused on agentic pentesting and AppSec. Work spans agent architectures, memory/RAG systems, MCP integrations with security and developer tools, prompt chains, and full-stack ownership from design through production. Required: 5+ years shipping production software, strong Python, experience with LLM apps/RAG/agentic AI, distributed systems, API design, and cloud-native architectures.

Work on the core AI tutor: design prompt architectures and agentic workflows, run rigorous experimentation with custom evaluation metrics, integrate AI into platform and content pipelines, prototype and productionize model interactions, and ensure safety, observability, and quality. Requires production software engineering (Python), experience building LLM-based systems (1+ years), and collaboration with educators and product teams.

Join Invicti's AI team to design and build agentic AppSec solutions, including multi-agent systems, RAG and memory pipelines, MCP integrations, and prompt engineering. Requires 5+ years of production software development, strong Python skills, experience with LLM-powered apps/RAG/agentic AI, and knowledge of distributed systems, API design, and cloud-native architectures. Role involves cross-team collaboration, productization, and ownership from design to production.