Enterprise-wide senior leadership role reporting into Revenue Operations to define and execute Elastic's Field Technology & AI strategy. Owns four teams (Engineering, Data Science, Customer Data Strategy, Application Administration) to productize and operationalize AI use cases across GTM (examples: account scoring, next-best-action, seller copilots). Requires 12+ years' experience (including 7+ years in senior leadership). Based in the United States. Typical starting salary range: $212,100–$335,600 USD per year.

Role involves architecting and deploying agentic GenAI/LLM solutions for telecommunications network operations (telemetry, logs, SNMP, NetFlow/IPFIX, time-series), enabling NVIDIA Telco partners on NVIDIA AI stacks (Morpheus, RAPIDS, NeMo, NIM), and providing technical guidance for production integration. Requires 6+ years building and deploying AI/ML systems, strong Python and PyTorch experience, and familiarity with telecom data and related tooling.

Technical lead for DRIVE Road Structure, Online Mapping, and Context Fusion, owning design and development of systems that integrate perception and mapping across diverse driving environments. Role requires driving real-time 3D model architecture, advancing mapless driving (BEV), improving scenario understanding (occupancy grids, occlusion reasoning), and collaborating with perception, planning, and platform teams.

Profile and optimize end-to-end neural reconstruction workflows (data loading, training, rendering) using PyTorch and CUDA; translate Python/NumPy/PyTorch bottlenecks into efficient CUDA/C++ or PyTorch-native implementations; build benchmarks, regression tests and profiling workflows. Role requires 12+ years experience and strong skills in Python, C++, PyTorch, and CUDA.

Experienced engineer (8+ years) to design and operate LLM-based guardrails and detection systems, automate enforcement and response, analyze abuse patterns (BigQuery/Hex), and integrate security tooling in CI. Role is full-time based in Foster City, CA with an in-office requirement three days per week.

Senior engineering role on the Risk team focused on designing and operating abuse detection systems (phishing, cryptomining, account takeover, fraud) using LLMs and traditional techniques. Responsibilities include building LLM guardrails, ML/LLM classifiers, integrating security scanners in CI, analyzing data (BigQuery/Hex), and owning detection-to-enforcement workflows across Security, Support, and Legal. In-office in Foster City, CA with a 3-days-per-week on-site requirement.

Replit is hiring a Staff Software Engineer for Trust & Safety to design and operate AI-powered abuse detection systems and automated responses for threats such as phishing, cryptomining, account takeover, and financial fraud. The role requires owning detection and enforcement end-to-end, building LLM guardrails, analyzing large-scale data (BigQuery/Hex), integrating security scanners in CI, and collaborating with Support and Legal. Requires 8+ years in security engineering/anti-abuse/fraud detection and strong skills in Python or TypeScript, SQL, and ML/LLM-based classifiers. Location: Foster City, CA (full-time, hybrid with specified in-office days).

Full-time Senior Software Engineer on Replit's Fraud team (based in Foster City, CA; in-office M/W/F). Own end-to-end abuse detection and response: design and implement LLM-based guardrails and classifiers, build AI-powered detection systems, integrate security scanners into CI, and automate enforcement. Requires 4+ years in security/anti-abuse/fraud, strong Python/TypeScript skills, and experience with SQL and ML/LLM classifiers.

Replit is hiring a Senior Software Engineer for the Risk team to design and operate AI-powered abuse detection and automated response systems (phishing, cryptomining, account takeover, fraud) and build LLM guardrails. The role requires 4+ years in security engineering/anti-abuse, strong Python/TypeScript skills, experience with SQL and large-scale data analysis (e.g. BigQuery), and familiarity with ML/LLM classifiers and LLM-specific attack vectors. This is a full-time, primarily on-site role in Foster City, CA (in-office Monday, Wednesday, Friday).

Customer.io is hiring a Senior Data Scientist to analyze customer and product behavior, design and analyze experiments, build models and datasets (using SQL and Python), and partner with Product, Marketing, and Data Engineering to inform product and business decisions. Requires 5+ years in a data science role, experience with statistics, experimentation, behavioral analytics, and familiarity with cloud data platforms such as Snowflake or BigQuery. Salary range: $140,000–$150,000 USD per year.

Work as a hands-on technical leader building and shipping AI solutions that improve organizational flow and measurable business outcomes. Responsibilities include diagnosing business problems, designing and implementing integrations and AI systems (LLMs, RAG, agents), applying guardrails and evaluation frameworks, and partnering with stakeholders to track adoption and ROI. Role emphasizes systems thinking, production-quality engineering (Python/JS, APIs, CI/CD), and practical prompt/ML engineering.

Forward Deployed AI Consultant responsible for partnering with business stakeholders to map AI transformation roadmaps, independently designing and deploying rapid POCs/MVPs (using prompt engineering, RAG, AI agents and automation tools), and translating prototypes into production requirements while addressing privacy, security, and reliability risks. Role emphasizes stakeholder management, technical literacy around APIs and data flows, and scaling pilots into enterprise implementations.

The Forward Deployed AI Consultant partners with client executives to identify high-impact AI opportunities, independently builds rapid POCs/MVPs using prompt engineering, RAG, AI agents and low-code/no-code tools, and hands off scoped production requirements to engineering teams. Responsibilities include discovery, solution shaping, risk mitigation (data privacy, security, hallucinations), and identifying commercial scale opportunities. Role is fully remote and emphasizes stakeholder management, technical literacy, and rapid iteration.

Forward Deployed AI Consultant partners with client executives to map AI transformation roadmaps, independently design and deploy prototypes using prompt engineering, RAG, AI agents and automation tools, and translate prototypes into production-ready requirements while mitigating data privacy, security, and reliability risks. Role is remote and focused on consulting, rapid delivery, and scaling pilots into enterprise implementations.

Seeking a Senior Data Scientist to develop and deploy predictive models (lead scoring, agent matching, pricing/time-on-market), build production-grade RAG/GraphRAG and knowledge-graph solutions, write data transforms in Databricks (SQL, PySpark), and partner with engineering to ship models/LLM outputs. Requires 5+ years in data science/product ML, strong Python and SQL (PostgreSQL) skills, experience with ClickHouse, LLM/RAG production deployments, A/B testing, and BI/product analytics tools (Hex, Metabase, PostHog).

Augury is hiring a GenAI Engineer to design, build, and deploy AgenticAI and GenAI systems for industrial manufacturing. Responsibilities include end-to-end ownership of experimentation, production deployment, monitoring, and evaluation of LLM-powered workflows (RAG, embeddings, tool calling, multi-agent orchestration). Requires 2–4 years experience, strong Python and backend/API skills (REST/gRPC), familiarity with GenAI frameworks (e.g., LangChain, CrewAI, AutoGen), and experience integrating sensor/time-series data, MLOps/LLMOps, and observability tooling. Position located in Bangalore, India.

Augury seeks an Algorithm and Applied AI Scientist (DSP) to lead projects focused on advanced signal processing and data analytics for industrial manufacturers. Responsibilities include understanding physical properties of sensor data, full algorithm development lifecycle from feature discovery to production-ready models, and building predictive and anomaly classification models using time-series and textual data. The role leverages classical and modern techniques (DSP methods like STFT/FFT/Hilbert/Wavelet, statistical methods, deep learning, transformers, TGNN/TSFM, Generative AI). Requires an advanced quantitative degree, proven DSP expertise (4+ years), ML/AI experience (2+ years), Python proficiency, and technical leadership experience. Location: Haifa.

NVIDIA internship for PhD students focusing on generative models, synthetic data creation, user simulation calibrated to real behaviors, reward modeling, and data-quality estimation for LLM pre-/post-training. Requires strong research background, Python and PyTorch experience, familiarity with HuggingFace/vLLM and distributed LLM training, and publications at top-tier venues. Hourly intern pay listed as $30–$94 USD.

Hands-on technical leader reporting to the Director, Enterprise AI, responsible for diagnosing business problems, mapping workflows, and delivering AI solutions from discovery through deployment. Focus areas include prompt engineering, LLMs, agentic architectures, system integrations (APIs, GraphQL), CI/CD, and improving organizational flow using flow metrics and business outcomes. Role is remote with an initial focus on Sales, Marketing, and Customer Support systems.

NVIDIA seeks a Quantum Error Correction Research Scientist Intern to develop automated pipelines for discovering and evaluating quantum error correcting codes and machine-learning-based decoders. Responsibilities include integrating classical ML methods, building decoders for topological and/or QLDPC codes, incorporating hardware constraints into code and decoder design, and evaluating fault-tolerant circuit performance via simulation. Candidates should be pursuing a Master's or PhD in a relevant field and have background in quantum error correction, Python, and related simulation or ML methods.