NVIDIA seeks a Manager for GPU Accelerated Data Analytics to drive research and development of performance optimizations across CPU and GPU platforms. Responsibilities include technical leadership, driving innovation in algorithms and low-level optimizations (CUDA, C/C++), building and mentoring a distributed team of performance engineers, and collaborating with cross-functional partners. Requires MS/PhD or equivalent, 7+ years relevant experience with 3+ years in engineering leadership, and strong expertise in CPU/GPU architecture and performance engineering.

Sardine seeks a Machine Learning Engineer to own model serving, real-time inference, feature retrieval, and deployment pipelines for fraud detection under a sub-250ms latency budget. The role requires production ownership (monitoring, drift detection, retraining, incident response, on-call), strong Python and solid software engineering practices, experience with Kubernetes/containers and a major cloud (primarily GCP), and working across Python and Go. Remote within the United States or Canada.

Hands-on role building and deploying machine learning and graph analytics solutions for fraud and risk use cases. Responsibilities include client-facing problem solving, prototyping models, production model deployment, defining and tracking metrics, conducting EDA and cohort analysis, creating self-serve BI dashboards, and collaborating with Product and Engineering. Remote across UK, Germany, Spain, Ireland, Poland, Netherlands, Lithuania, and Bulgaria.

Hands-on role to design, prototype, and productionize machine learning and graph-analytics solutions for fraud and AML use cases. Responsibilities include metrics definition and tracking, EDA and cohort analysis, dashboard automation, and close client-facing collaboration. Requires 7+ years in data science or related quantitative roles with strong Python/R and SQL experience and familiarity with BI tools (Tableau, Sigma, Metabase).

Prezi is hiring a Senior Data Analyst to join the Data Science & Analytics team (remote across listed European countries). The role involves end-to-end analyses (requirements, data processing, presentation), building dashboards and data products, defining metrics, quantifying impact, fostering self-service analytics, and collaborating with data engineering. Required: 5+ years in data/business analytics, proficiency in SQL and Python (or other scripting), experience with statistical analyses (funnel analysis, clustering, forecasting, recommender systems), dashboard building, strong English communication, and interest/experience in AI tools. Bonus experience: AWS, ETL pipelines, SaaS analytics, personalization/recommendation work.

Netguru seeks a Senior Python Developer for a long-term freelance engagement (remote — must be based in Poland). The role focuses on building Vision-Language multimodal AI features, prompt engineering, prototyping AI agents, redesigning and scaling Apache Airflow (custom operators, executors), and deploying production services with a DevOps team (Azure experience desirable). Polish language is required; good spoken/written English is expected. Rate listed up to 250 PLN/hour.

NVIDIA Research Singapore is hiring a Research Scientist to research, design and accelerate generative AI models (LLMs, foundation models, visual generation, robotics) with a focus on GPU-efficient computing. Responsibilities include publishing original research, collaborating across teams, mentoring interns, and transferring technology to product groups. Required: ~2 years' experience, degree in CS or EE, strong research record, Python prototyping skills; C++/CUDA and PyTorch knowledge are a plus.

Work on a performance-oriented, low-level inference infrastructure using hardware offloads (GPU kernels, CUDA) and RDMA network cards. Requirements include ~8 years in modern C++/C/Rust development, ~3 years in Linux development, deep knowledge of TCP/IP, computer architecture and OS concepts. Advantages include experience with LLM inference stacks, distributed storage, Linux internals, low-level optimizations, parallel programming, HPC and RDMA.

Work with science and research institutes in Japan to promote and deploy NVIDIA GPU-accelerated solutions for machine learning and generative AI. Responsibilities include leading research collaborations, designing architectures and demos, creating and running proofs of concept, onboarding developers to NVIDIA AI platforms (NIMs, NeMo), and presenting technical topics. Requires 5+ years' experience in generative AI/deep learning, strong coding skills (Python, C/C++, Bash, Linux), and excellent Japanese and business-level English communication.

NVIDIA seeks a Solutions Architect (Data Science) in ANZ to enable GSIs and AI consultancies on generative AI and LLM solutions (Nemo/NIMs), build GenAI full-stack solutions, run PoCs/demos, and support GPU-accelerated deployments. Requires deep expertise in generative AI/LLMs, ML/DL frameworks, Python, GPU/parallel computing, container orchestration and 5+ years' related experience.

Researches and develops techniques to accelerate deep learning, machine learning, and AI workloads on modern CPU and GPU architectures. Works with developers and researchers to analyze and optimize complex algorithms, publish findings, and influence hardware and software design. Requires a Masters (or equivalent) and 8+ years of relevant experience with C/C++, CUDA and parallel programming frameworks.

NVIDIA seeks a Senior Math Libraries Engineer to scope, design, and implement GPU-accelerated numerical dense linear algebra software (kernel generation, JIT, fusions). Requires 8+ years' experience, strong C++ and HPC skills, and experience with GPU/parallel programming (CUDA, MPI, OpenMP, etc.). Role is based in the US with hybrid/remote options; stated base salary ranges from $184,000–$287,500 (Level 4) and $224,000–$356,500 (Level 5).

Work on design and implementation of GPU-accelerated libraries and SDKs for unstructured sparsity in deep learning and HPC. Responsibilities include developing a C++ system for sparse tensor computations, DSL specifications for sparse storage formats, on-demand code generation, enabling frameworks like Python/PyTorch, and performance evaluation and optimization. Required: BS/MS/PhD (or equivalent), 6+ years developing and optimizing high-performance C++ software, strong Python and CUDA skills, and experience with parallel programming (MPI/OpenMP) and sparse compilers (MLIR or TACO).

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software for large-scale model serving and inference (vLLM, SGLang, FlashInfer). Requires 6+ years' relevant software development experience, strong C/C++ skills, and experience with CUDA and multi-GPU tools (NCCL, NVSHMEM). Base salary ranges provided in the posting: Level 4 (184,000–287,500 USD) and Level 5 (224,000–356,500 USD).

Role to partner with NVIDIA engineering, product, and sales to drive design wins in banking and consumer finance by performing proofs-of-concept, profiling and optimizing ML/DL models on NVIDIA GPUs, and building industry-specific collateral. Requires 12+ years as an ML/Software Engineer, BS/MS/PhD or equivalent experience, strong coding in Python and C++, and experience with ML/DL frameworks (TensorFlow, JAX, PyTorch, Spark, Dask). Base salary range stated: 224,000 USD - 356,500 USD per year.

Join a multidisciplinary team to design, develop, and optimize high-performance CPU and GPU-accelerated software libraries used in AI, data analytics, image processing, computer vision, and scientific simulation. Role requires developing scalable library software, performance tuning and benchmarking across architectures, collaborating with internal and external partners, and providing technical leadership. Preferred: MSc/PhD or equivalent experience and 5+ years developing and optimizing parallel numerical applications with GPU acceleration (CUDA).

Role involves understanding, profiling, and optimizing DL training and inference on state-of-the-art hardware; collaborating across research and engineering teams; implementing production-quality software and building automation tools. Requires 5+ years experience, strong DL and computer-architecture background, and programming skills in C++ and Python; GPU programming (CUDA/OpenCL) and LLM framework experience are advantageous.

Mapbox is hiring a Machine Learning Engineer III to lead engineering efforts on the Routing Cost team. The role focuses on designing and building ML and data pipelines, leveraging geospatial algorithms, developing automated QA/data exploration tools, and partnering with data scientists to improve models (including reinforcement learning). The position is full-time, remote from any city in Germany, and expects 8+ years of backend and ML experience.

Intuition Machines is hiring a Senior MLOps Engineer to shape and expand data and ML pipelines used by products and research. Responsibilities include maintaining and building high-velocity data workflows, enabling dataset creation for ML teams, influencing data storage and processing strategies, and reducing time-to-deployment for models and dashboards. Requirements include a minimum of 3 years in a data role, at least 2 years professional software development experience outside data engineering, strong Python skills, experience with Kafka, distributed systems, SQL/NoSQL (preferably ClickHouse), familiarity with AWS or Azure, and experience with Kubernetes, containerization, and CI/CD. The role is fully remote and subject to pre-employment screening and identity verification.

Design and implement ML models that scale to millions of requests per second, translate business requirements into technical specifications, evaluate and debug models, and provide technical mentorship. Role combines research, engineering, and deployment work in a fully remote, flexible-hours environment. Requires 5+ years professional applied ML experience and experience with real-time, incremental, and online learning.