Lead technical strategy and own the IDV ML stack from feature pipelines through threshold tuning and production enforcement. Build GNN-based identity-graph systems, real-time behavioral and device-intelligence models, benchmark/vendor-manage external models and design dynamic routing, and mentor senior/mid engineers. Requires 8+ years deploying production ML systems and domain experience in identity verification/biometrics or account integrity; expert Python with TensorFlow or PyTorch. Role is remote (USA) with listed base salary $218,025–$256,500 USD/year.

Senior ML Engineer responsible for designing and deploying an orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks. Build production-grade Python ML services, lead end-to-end ML projects, establish system and coding best practices, and mentor engineers. Requires 5+ years experience and hands-on work with LLMs/generative AI and frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. Annual base salary listed as ₹6,612,600 INR.

Seeking a Senior Scientist to develop LLM-based synthetic data generation (text, code, structured, multimodal) and associated SDKs within the NVIDIA NeMo ecosystem; responsibilities include building scalable data pipelines, automated quality evaluation, contributing open-source code, collaborating with model teams, and publishing research. Requires PhD or equivalent and 3+ years research experience in synthetic data/generative or multimodal ML.

Lead research and engineering to build physics-informed synthetic data pipelines, surrogate models, RL/online learning-based calibration policies, and GPU-accelerated real-time AI systems for fault-tolerant quantum computing. Requires MS (PhD preferred) and 8+ years of experience in quantum systems and ML; role is US-based/remote with specified Santa Clara and Redmond locations.

Hands-on player‑coach role leading execution of the production photogrammetry pipeline (SfM, MVS, depth estimation, mesh reconstruction) and integrating newer 3D approaches (gaussian splats, foundation 3D models). Requires 7+ years in 3D computer vision/3D ML, production experience at scale, proficiency in C++ and modern ML frameworks, cloud/containerization experience, and experience driving AI/agentic development and observability for production systems.

Work with founding and product engineering teams to prototype, develop, and operate Generative AI features and ML integrations (LLMs, fine-tuning, inference platforms) across backend and frontend. Requires 6+ years' experience and experience with MLOps, TypeScript/JavaScript and either Node.js or React; role includes on-call duties. Remote role for United States candidates; salary range $225,000–$265,000 USD/year.

Responsible for defining and building shared AI platform services (model integration, prompt management, RAG infrastructure, embedding pipelines, vector store management), establishing standards for reliability, observability, and safety in a regulated financial environment, and driving cross-team adoption and technical direction. Requires 8+ years experience and at least 3 years integrating LLMs or ML models into production.

The Data Scientist will develop algorithms and ML models (including NLP, LLMs, recommendation systems, and agentic workflows) to generate people-related business insights, own the end-to-end MLOps lifecycle, and deploy production models. The role requires collaboration with IT and business partners, presenting results to non-technical stakeholders, and maintaining reusable, version-controlled code and documentation. Minimum 3 years of data science experience is required; proficiency in Python, SQL/BigQuery, Git, and tools such as Tableau, Kubeflow or MLflow is preferred.

Technical software engineering role within Data Science focused on building production multi-agent systems, AI-powered security chatbots, and applied LLM workflows for security operations (alert triage, summarization, automation). Role expects 8+ years of professional software engineering experience, 1–2 years hands-on applied AI building multi-agent/chatbot or tool-using agent systems, expertise in .NET/TypeScript/Python, familiarity with cloud AI services (AWS Bedrock preferred) and LLM SDKs, and strong emphasis on evaluation, reliability, and AI security practices.

NVIDIA is hiring a Senior DL Hardware Modeling Architect to develop executable component- and system-level models for LLM inference. The role requires 5+ years of relevant experience, expert C++ programming, familiarity with RTL and chip design concepts, and experience in profiling and performance analysis. Location listed as US (hybrid/remote). Base salary ranges provided: $152,000–$241,500 (Level 3) and $184,000–$287,500 (Level 4). Applications accepted at least until August 10, 2026.

Role to profile and optimize end-to-end neural reconstruction and Gaussian Splatting workflows on GPUs, addressing data loading, training, rendering, and multi-GPU execution; convert Python/PyTorch bottlenecks into efficient CUDA/C++ or native implementations; and build benchmarks and regression tests. Requires 12+ years experience and strong skills in Python, C++, CUDA, PyTorch, and GPU profiling tools.

MailerLite seeks a Machine Learning Engineer to build and ship predictive models on large-scale behavioral data and fine-tune LLMs to power a goal-driven assistant. Responsibilities include data preparation, training and inference pipelines, evaluation harnesses, and production serving. Requires 3+ years of production ML experience, hands-on LLM fine-tuning, strong Python and modern ML stack skills, and at least 4 hours overlap with CET. Remote-first role with advertised annual salary range €55k–€80k.

Hands-on role focused on bring-up, validation, benchmarking, and debugging of multi-GPU and multi-node LLM workloads using PyTorch and NVIDIA AI stacks; build benchmarking and failure-attribution tooling, perform root-cause analysis, and deliver data-driven performance and deployment recommendations. Requires strong systems, GPU, and distributed-systems experience.

Work on Reddit's Notifications Relevance team to design and implement large-scale recommendation systems (retrieval, ranking, budget optimization), deploy ML models and LLMs in production, ensure monitoring and product integration, and mentor senior/staff engineers. Requires 10+ years' industry experience with large-scale recommendation systems and experience with PyTorch/TensorFlow, Python and/or Golang.

Parexel seeks an AI Strategy and Implementation Lead to drive Medical Communications AI strategy and deliver end-to-end implementation of AI-driven solutions (including AI agents on LLM platforms). The role requires demonstrable experience in medical communications or medical affairs, hands-on AI/LLM development and deployment, project and change management, and stakeholder engagement; it is a remote role based in select EMEA countries (listing includes Ireland and the United Kingdom).

Cloudera seeks a Senior Data Scientist (mid-senior level) to design, prototype, and productionize GenAI/LLM solutions and AI-enabled workflows. The role requires strong experience in Python/R, ML/statistics, SQL, prompt/RAG engineering, building retrieval pipelines and evaluation frameworks, and collaborating across teams. The position is based in Costa Rica (remote) and is not eligible for immigration sponsorship.

Join Augury's AgenticAI team to own end-to-end ML systems—problem scoping, data pipelines, model development, deployment, and production monitoring. Work combines time-series modeling, signal processing, classical ML, deep learning, and generative AI (LLMs, embeddings, agent architectures) to deliver customer-facing industrial AI solutions.

Pindrop seeks a Research Scientist II to conduct and translate research into production-ready ML solutions for real-time video processing, face recognition, and deepfake detection. Requires a PhD or equivalent experience, 3+ years in deep learning/computer vision, strong Python skills, and experience with frameworks such as PyTorch or TensorFlow. Position is remote (US) and includes a listed US base pay range.

AE Studio seeks an experienced Alignment Scientist/Engineer to perform near-full-time alignment R&D, working autonomously on ML research, experiments, and deployments. The role requires strong skills in Python, PyTorch, modern deep learning tooling, model training/evaluation, calling model APIs, and communicating technical work; experience in alignment or ML research is expected. The position is remote-first (US candidates noted) and the posted US salary range is $180,000 to $240,000 per year.

Lead engineering and evolution of Precisely AI Studio—marketplace UI, agent execution, and MCP integration. Hands-on full-stack work (Next.js, React, TypeScript, Python/Flask, Express, MongoDB, AWS Bedrock) plus mentorship of a small development team. Partner with product and enterprise customers to design reusable AI assets, translate use cases into agent workflows, and expand integrations across LLM ecosystems (OpenAI, Anthropic Claude). Requires 7+ years' experience and at least 2 years in a tech lead role.