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.

Join the AI team to perform applied research on problems related to home design and visual understanding. Work with raw and unstructured data (images, video, 3D point clouds, meshes, text), design and run experiments, train and evaluate ML/DL models, and implement prototypes/MVPs for production. Requires 4+ years in AI/ML research or applied machine learning and proficiency in Python and deep learning frameworks (TensorFlow or PyTorch).

Join NVIDIA to design and implement robust map-based localization solutions for autonomous driving, working with large real and synthetic datasets. The role requires strong C++ and CUDA skills, experience in computer vision/3D geometry, and familiarity with automotive quality and safety standards such as ISO26262 and MISRA.

Work on designing and optimizing kernels, extensible abstractions for LLM serving engines, JIT domain-specific compilers, and inference runtimes for NVIDIA hardware. Qualifications include a Master's (PhD preferred) or equivalent experience, 6+ years in ML/DL systems development, experience with frameworks such as PyTorch/JAX/TensorFlow/ONNX, and expertise in GPU kernel development and compilers. Base salary range listed as 184,000 USD - 287,500 USD per year.

Join NVIDIA to develop AI inference systems, including kernel implementations, code generators, and runtimes to accelerate LLMs and other AI workloads. Requires a Master's (or equivalent) preferred PhD, 6+ years of ML/DL systems development experience, and strong experience with Python, C/C++, CUDA, deep learning frameworks, and GPU kernel performance optimization. Base salary range: 184,000 USD - 287,500 USD.

Role involves analyzing telemetry and workload data from GPU-accelerated clusters to find platform and application improvement opportunities, building practical visualizations and lightweight ML/DL implementations, and communicating results to engineers and leadership. Requires 5+ years working with complex datasets, strong Python and JavaScript skills, hands-on use of telemetry/observability stacks (e.g., Grafana, Elasticsearch, Splunk), and familiarity with core ML concepts. Base salary range listed as 152,000 USD to 241,500 USD.

Role focused on architecting and implementing next-generation GPU profiling features, building functional and performance models, and creating test plans. Requires a Masters/PhD or equivalent, 3+ years in computer architecture/ASIC design/verification or software development, strong C++ and Python, experience with performance modeling/hardware simulation (ideally SystemC), and familiarity with GPU profiling and AI/HPC workloads. Base salary ranges provided for Levels 4 and 5 (overall range in posting: USD 184,000–356,500).

Own ML-driven product features end-to-end: identify opportunities, model, deploy, run experiments, and measure impact. Design and build scalable ML systems including data pipelines, training workflows, and production model serving; shape MLOps practices and explore generative AI/LLM use cases. Provide technical leadership and mentorship across the team.

Nearform is hiring a Senior Software Engineer focused on Python and AI to design and build AI-enabled applications. This is a full-time permanent role based in Ireland (visa sponsorship not available). The role involves working with clients across the UK and Europe (travel required and expenses covered). Salary starts from €75,000 plus bonus and benefits. Required skills include deep Python and AI framework experience, version control (Git), testing (unit/integration/e2e), databases, cloud environments, CI/CD and working in agile teams.

Lead design and delivery of scalable ML solutions (Generative AI, RAG, Graph ML, LLM fine-tuning) and high-performance real-time inference services. Hands-on responsibilities include architecture, microservices, Triton/TensorRT-based inference, Python development, CI/CD, Docker/Kubernetes, cloud deployments, and mentoring engineering teams.

Senior Software Systems Engineer (L3/L4) role focused on defining system requirements and performance budgets, developing test and validation strategies (vehicle and component levels), and ensuring safety (SOTIF ISO 21448, ISO 26262) for autonomous driving. Requires 8+ years in safety-critical systems engineering, strong software skills (Python, C++, SQL), and experience with large datasets and ML validation.

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.

Hightouch is hiring a senior, product-minded AI engineer to rapidly prototype and architect production LLM/agent systems and backend pipelines that leverage company data for analytics and marketing workflows. Role is remote (North America). Salary range: $180,000 - $400,000 USD/year. The company participates in E-Verify.

Hightouch is hiring a Head of Machine Learning to lead ML across personalization, product recommendation, probabilistic identity resolution, content generation (including LLMs), and ML infrastructure. The role combines technical leadership, people management, recruiting, product roadmapping, and improving team reliability and execution. Remote (North America); salary range $230,000–$400,000 USD/year.

Forward Deployed Marketing Data Scientist partnering with AI Decisioning customers and internal teams to analyze model behavior, tune ML levers, measure incrementality, debug experiments, and present insights to marketers and executives. Responsibilities include exploratory analyses in Python (Polars/Pandas) and SQL, modifying feature matrices, building reusable analysis tooling, and communicating technical concepts to non-technical stakeholders. Salary range $140,000–$220,000 USD/year (location independent).

NVIDIA seeks a new college graduate (Master's/PhD or equivalent) to research, design, and optimize high-performance AI and HPC workloads on CPUs and GPUs for financial services. Responsibilities include low-level parallel programming (e.g., CUDA), profiling and eliminating bottlenecks, collaborating with hardware/software teams, and publishing results. Role emphasizes C/C++, algorithms, linear algebra, and experience improving large-scale GPU application performance; locations listed in the US with remote options.

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.