Lead technical development of Reddit's Notifications Relevance systems, including retrieval, ranking, budget optimization, LLM integration, model deployment, and monitoring. Requires 8+ years of industry experience with large-scale recommender systems and experience with ML frameworks (PyTorch/TensorFlow) and production ML engineering (Python/Golang).

CrowdStrike seeks a Senior Platform Professional Services Consultant specialized in AI-driven detection and response to plan, deploy, tune and support Falcon AI/ML capabilities. The role requires ~8 years of IT deployment or customer-facing experience, expertise in AI/ML applied to security, endpoint platforms (Windows/macOS/Linux), scripting/APIs, security automation, incident response, and experience with cloud and SIEM technologies. Position is remote in the U.S. with up to 25% travel.

Role responsible for planning, deployment, configuration, tuning and operational support of Falcon AI-powered detection and response; includes developing automation playbooks, scripting with Falcon APIs, supporting incident response and threat hunting, customer engagements, and up to 25% travel. Requires ~8 years IT deployment experience and bilingual English/Spanish proficiency.

Granicus is hiring a Principal Engineer, AI Security to lead design and implementation of scalable AI security controls and guardrails, modernize the SDLC for AI, advance AI-enabled cyber defense, prototype and build integrations, and advise across security and engineering. Requires 10+ years in security-related engineering and deep familiarity with LLMs, agents, adversarial AI, cloud-native architectures, CI/CD, and security automation. Remote-first role with a US-based salary range of USD 150,600–187,400/year.

Responsible for designing and implementing scalable search solutions, improving relevance and speed, maintaining real-time indexing pipelines, building vector/semantic search capabilities, and collaborating with AI, backend, and product teams. Requires 7+ years of search engineering experience and hands-on production experience with OpenSearch or ElasticSearch; background in information retrieval, ranking, ML/NLP, Postgres, and TypeScript is preferred.

Hands-on IC role to design, train, evaluate, and ship 3D reconstruction systems (gaussian splats, foundation 3D models, SfM, MVS, monocular depth, mesh reconstruction) into DroneDeploy’s production photogrammetry pipeline. Requires 5+ years professional experience in 3D computer vision/3D ML (or PhD), strong C++, fluency with ML frameworks (PyTorch/TensorFlow), cloud training/inference (AWS/GCP/Azure), containerization (Docker, Kubernetes), and experience running/monitoring many ML experiments. Remote-first (USA) with preference for Pacific Time overlap; occasional travel (~2–3x/year).

NVIDIA seeks a Senior Research Scientist/Engineer to develop and scale post-training technologies for Nemotron foundation models. Responsibilities include synthetic data and agentic RL research, data and training infrastructure, vendor data acquisition, and large-scale model post-training through deployment. Requires Master/PhD or equivalent and 5+ years' experience in mid-/post-training, reinforcement learning, agentic systems, and hands-on data curation and model training. Salary range provided (USD 192,000–356,500/year across levels).

Coinbase is hiring a Staff ML Risk Analyst on the Growth & Risk team (remote - USA). The role owns ML data and feature strategy for fraud detection (ATO and scam), end-to-end feature engineering pipelines, and drives ML infrastructure roadmap. Requires 8+ years in ML analytics/data science applied to fraud or payments, practitioner-level Spark and Python experience, and knowledge of feature stores and ML infrastructure. Annual base salary range: $193,970–$228,200 USD.

Remote (USA) Senior Data Scientist role at Coinbase focused on connecting customer support interactions to revenue via revenue calibration/attribution models, designing causal inference and experimentation frameworks, building LLM/NLP classification pipelines, defining segmentation and behavioral signals, and ensuring statistical rigor for executive reporting. Requires BA/BS +5 years or PhD +3 years of relevant experience. Quarterly in-person surges are expected.

Twilio is hiring an Applied Research Tech Lead (L6) to join its Emerging Technologies incubation lab. The role is remote and based in India, responsible for architecting and delivering prototypes and production-ready solutions, driving AI R&D and experimentation, establishing engineering best practices, and mentoring peers. Required: 10+ years professional software development experience, proficiency in languages such as JavaScript, Python, Java or Go, experience with front-end (React/Angular) and/or back-end (Node.js/Springboot) frameworks, and familiarity with SQL/NoSQL and cloud platforms.

Twilio is hiring Senior and Staff Applied Research Software Engineers for its Emerging Tech (Forward) incubation team. Roles involve full-stack development, rapid prototyping, and experimenting with AI/ML and LLM-driven workflows (including MCP and agentic coding). Positions are remote within the United States and expect approximately 5% travel.

Twilio is hiring Senior or Staff Applied Software Research Engineers based remotely in India (specific states listed). The role focuses on hands-on full-stack prototyping, building and deploying prototypes and production-ready solutions, and experimenting with AI/ML and emerging technologies (including LLMs and agentic coding workflows / MCP). Required skills include modern programming languages (JavaScript, Python, Java), front-end (React, Angular) and/or back-end (Node.js, Springboot) experience, and familiarity with SQL or NoSQL databases. Occasional travel may be required.

Work on CUDA Tile compiler features: implement compiler transformations, develop MLIR dialects and lowering passes, define public APIs, and optimize performance of tile-based kernels across NVIDIA GPU architectures. Requires 3+ years in compiler optimization/performance analysis and strong C/C++ skills; familiarity with MLIR/LLVM/CUDA/Deep Learning technologies is preferred. Positions based in the US (Austin, Redmond, Santa Clara) with remote options.

Seeking a Python Developer with at least 3 years' relevant experience to develop and integrate Big Data solutions on Cloudera platforms (CDP/CDSW). Responsibilities include building secure, scalable data processing pipelines (Python, PySpark, ETL), Hadoop administration and tooling (Hive, Impala, Kafka, Ranger/Atlas), automation and technical troubleshooting, and documenting and presenting deliverables.

Work on ML Ranking Platform to design, implement and maintain large-scale, production ML ranking and personalization systems (feeds, search, push). Requires 5+ years building distributed, data-intensive ML systems; experience with Go, Python, C++ or similar; and experience with deployment, automation, ML monitoring and system diagnosis. Collaboration with Product, Infrastructure and Engineering teams in a remote environment.

Join Coinbase's CX Intelligence team to architect and deploy a unified orchestration layer coordinating vendor and internal LLMs, multi-agent systems, and human participants. Role involves building production-grade Python services, leading ML projects end-to-end, establishing engineering best practices, mentoring engineers, and ensuring security, scalability, and performance. Requires 5+ years of ML/software engineering experience and hands-on experience with LLMs, deep learning, production ML systems, and tools such as LangGraph, LangSmith, Vertex AI, or AWS Bedrock. Annual base salary listed as BRL 455,500.

Lead evaluation strategy and quality metrics for conversational/agentic search and RAG, collaborate with engineering and product to productionize evaluation pipelines and telemetry, and mentor data scientists. Requires 8+ years applied DS/ML experience with deep expertise in IR, NLP, ranking, semantic search, LLM-powered products, and hands-on skills in Python, PyTorch/Transformers, and Elasticsearch.

Lead the evaluation strategy and quality metrics for Elastic’s conversational and agentic platform: define offline and online evaluation, build evaluation pipelines, guide retrieval and ranking improvements, and productionize telemetry and CI guardrails. Requires 8+ years applied DS/ML experience in IR/NLP/ranking/semantic search/RAG, hands-on Python and PyTorch/Transformers, and practical Elasticsearch experience. Role includes prototyping, influencing roadmap, and mentoring cross-functional teams.

Lead technical direction for evaluating, improving, and scaling conversational/agentic search quality (RAG, agents, retrieval, citations, vector search). Define evaluation strategy (offline/online, metrics, LLM-as-judge), prototype and productionize evaluation pipelines and telemetry, influence product and model decisions, and mentor other data scientists and engineers. Requires 8+ years experience and hands-on skills with Python, PyTorch/Transformers, retrieval methods, and Elasticsearch.

Lead technical direction for evaluating, improving, and scaling chat quality across Elastic’s agentic platform. Responsibilities include defining evaluation strategy and metrics, designing experiments and A/B tests, improving retrieval and ranking (sparse/dense, vector search, re-ranking), productionizing evaluation pipelines and telemetry, and mentoring other scientists. Requires 8+ years applied DS/ML experience and hands-on skills with Python, PyTorch/Transformers, Elasticsearch, IR/NLP, and evaluation methodologies.