Join the Search squad to design and implement scalable search solutions built on Postgres and OpenSearch/ElasticSearch. Responsibilities include improving relevance and speed, real-time indexing pipelines, building vector/semantic search with embeddings, creating measurement frameworks for search quality, and collaborating with AI, backend, and product teams. Requires 5+ years of relevant experience and hands-on production experience with OpenSearch or ElasticSearch.

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 to define ML data and feature strategy, own end-to-end feature engineering pipelines, close ML infrastructure gaps, and partner with ML Engineers and Product/Risk teams to deploy, monitor, and improve ML systems for fraud (ATO and scam) detection. Requires 8+ years in ML analytics/data science with practitioner-level Spark and Python experience and familiarity with feature stores and big data ML.

Role owns CX Downstream Impact of Support (DSI) revenue calibration models, designs causal inference frameworks and experiments to measure CX program impact, builds LLM-powered classification pipelines, defines segmentation and behavioral signals, and ensures statistical rigor for executive reporting and regulatory defensibility. Requires BA/BS +5 years relevant experience or PhD +3 years. Annual base salary range: $180,370–$212,000 USD.

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.

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.

Hands-on technical leader responsible for end-to-end Databricks lakehouse architecture (Delta Lake, Unity Catalog, Delta Live Tables, Workflows) across major clouds, building batch and streaming pipelines, optimizing Spark workloads, enforcing governance and CI/CD, mentoring engineers, and partnering with data science and stakeholders. Requires 10+ years data engineering experience and 4+ years production Databricks experience. Salary range $102,000–$133,000/year. Employer may sponsor visas.

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.

Staff-level, hands-on role to build ML-driven governance and security capabilities (e.g., prompt injection detection, behavioral anomaly detection, trust scoring, policy recommendations). Responsibilities include designing and shipping models, building data pipelines, feature stores, model serving and evaluation harnesses, and owning model lifecycle and architecture. Qualifications include 5+ years applied ML/AI experience, 4+ years professional software engineering, experience with LLM systems (evaluation, prompt engineering, fine-tuning, retrieval), and production ML infrastructure. Role may require participation in a 24/7 on-call rotation. Docker considers visa sponsorship on a case-by-case basis.

Remote (U.S.) Machine Learning Engineering Manager role at Reddit responsible for setting technical vision, overseeing end-to-end model development and deployment for Ads engagement/conversion modeling, and recruiting and mentoring a high-performing ML engineering team. Requires hands-on deep learning experience (TensorFlow or PyTorch), production ML lifecycle expertise, and prior people-management experience (2+ years).

Join CrowdStrike as a Sr. Full Stack Engineer (remote, US preferred West Coast/Seattle). You will architect and build an AI-driven marketing execution platform — integrations to marketing tools, multi-agent orchestration, web UIs, production tooling, analytics, and custom AI agents. Role requires 8+ years full-stack experience with Python and modern JavaScript/TypeScript, production experience with LLM/AI APIs and agentic workflows, systems design, integration experience (REST/webhooks/OAuth), and familiarity with CI/CD, containerization, cloud (AWS preferred), and observability. Base salary range for U.S. candidates: $160,000–$250,000/year.

CrowdStrike is hiring a Data Scientist to develop agentic systems for cybersecurity: training and post-training LLMs (RLHF/RLAIF), designing agent architectures and workflows, building evals and benchmarks, and collaborating with engineering and threat research teams. Requires deep ML/LLM expertise, PyTorch and GPU experience, and strong research engineering practices. U.S. base salary range: $120,000–$180,000/year.

Role requires characterizing and benchmarking large-scale LLM training/inference on GPU/CPU clusters, focusing on networking and communication libraries (NCCL, RDMA, RoCE, MPI). Responsibilities include profiling, developing PyTorch trace-based tools, cross-team performance analysis, and defining test plans. Requires experience with CUDA, deep learning frameworks, containers, and extensive performance evaluation experience.

Lead architecture and delivery of end-to-end AI-powered systems including agents, RAG pipelines, orchestration layers, and evaluation frameworks. Define contracts, state management, guardrails, and observability standards; productionize experimental AI capabilities into scalable services. Remote-first role based in the USA; requires 5+ years of software engineering experience and 2–3+ years of AI development experience.

NVIDIA seeks a Solutions Architect for Financial Services Capital Markets to partner with engineering, product, and sales teams, run customer proof-of-concepts, profile and optimize ML/DL models on NVIDIA GPU architectures, and build finance-focused collateral. Requires MS/PhD or equivalent experience, 5+ years as an ML/software engineer, proficiency in Python and C++, and experience with frameworks such as PyTorch, TensorFlow, JAX, Spark or Dask. Base salary range: 152,000 USD - 241,500 USD per year.

Lead the technical direction for Reddit's Embeddings Machine Learning Platform, architecting scalable training (multi-GPU/cloud) and low-latency real-time serving for large models. Collaborate with cross-functional teams, drive ML strategy, mentor engineers, and bring advanced deep learning and production ML systems into production.

Cloudera seeks an AI Solutions Engineer/Architect to lead technical design and implementation of production generative AI and data platforms for public sector customers on Cloudera Data Platform (CDP). Responsibilities include model selection and fine-tuning, building data pipelines and RAG/vector DB architectures, MLOps/LLMOps, performance optimization, and compliance with government security frameworks. Requires 5+ years experience (with 2+ years in generative AI/deep learning), hands-on experience with Python, PyTorch/TensorFlow/Hugging Face, Spark/NiFi/Kafka, vector DBs, orchestration tools (LangChain, LlamaIndex, Haystack), Cloudera/CDP experience, active Top Secret clearance, and an active CI or FS polygraph. Role is not eligible for immigration sponsorship.

Drive architecture and delivery of core platform systems (LLM Gateway, AI Hub, agent runtime, knowledge bases), lead multi-quarter initiatives, implement AI FinOps, and build evaluation/observability tooling. Required: 5+ years software engineering experience building ML/AI infrastructure or distributed platform services, deep expertise in LLM orchestration, vector DBs, model serving, and fluency in Python and at least one systems language (Go, Rust, or C++). Remote-first role with quarterly in-person "surges."

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.

NVIDIA seeks a Senior Scientist with a PhD or equivalent and 3+ years research experience to build LLM-based synthetic data generation pipelines (text, code, structured, multimodal), maintain open-source SDKs in the NeMo ecosystem, collaborate with model and engineering teams, publish research, and mentor junior researchers.