Senior Staff Engineer to lead AMP across architecture, orchestration, and platform pillars to deliver an enterprise-grade GenAI-enabled application modernization product. Requires 10+ years in software development and operations, deep experience with distributed systems and data processing/warehousing, GenAI integration, security-first design, and at least 2 years mentoring engineering teams. Role is West Coast (PST) with a hybrid work model; U.S. salary range provided.

CrowdStrike is hiring a Senior AI Agent Developer to design, develop, and deploy production AI agents that improve enterprise workflows. The role emphasizes hands-on Python development, LLM/agent experience, prototyping, evaluation and optimization, and attention to AI safety and governance. The posting lists a US base salary range of $140,000–$215,000 per year.

Hands-on Staff Data Scientist responsible for the full data science engine for a priority vertical (starting with Insurance): define business problems with stakeholders, build and validate models, hand off ML engineering for deployment, and monitor live ROAS performance. Requires 5+ years applied data science experience, multi-year ML deployment in AWS, strong Python and SQL skills, and experience with techniques such as multi-armed bandits, reinforcement learning, recommendation and ranking systems, funnel/monetization optimization, and LTV modeling. Nice-to-haves include paid media/adtech experience, creative embeddings, Looker familiarity, and work with Google/Meta ad-platform data.

Hands-on applied data science role owning end-to-end modeling for a priority vertical (starting with Insurance), from problem framing with stakeholders through deployed models and live ROAS performance. Requires 5+ years of applied data science experience, strong ML modeling fundamentals, experience building and deploying ML solutions in AWS, and expertise with techniques such as multi-armed bandits, reinforcement learning, recommendation/ranking systems, LTV and monetization modeling. Familiarity with performance/paid digital marketing and tools like Looker is desirable.

Hands-on lead role owning the full data science lifecycle for a priority vertical—problem framing, building and validating models, coordinating ML engineering for deployment, and monitoring live ROAS performance. Requires 5+ years applied data science experience, strong Python and SQL skills, AWS experience, and domain experience in adtech/performance marketing and techniques such as bandits, recommendation/ranking systems, and LTV modeling.

Launch Potato seeks a Lead Applied Scientist to own the full data science engine for a priority vertical (starting with Insurance). The role is hands-on across problem framing, model building and validation, deployment handoff to ML engineering, and performance monitoring with a focus on ROAS and paid-media/adtech modeling. Required: 5+ years in applied data science, experience deploying ML in AWS, and expertise in Python, SQL, reinforcement learning/multi-armed bandits, recommendation/ranking systems, LTV and monetization modeling. Remote within the United States.

Work includes designing and training novel deep learning models on large-scale GPU clusters, prototyping architectures and algorithms for tabular, relational, and graph-structured enterprise data, applying transformer and advanced retrieval approaches, and partnering with engineering and product teams to ship production-ready features. Required: Master's or PhD in a quantitative field, production or top-tier research experience with transformers and retrieval, strong Python and automatic-differentiation framework skills (PyTorch, JAX, TensorFlow), and experience with large-scale distributed training (DeepSpeed, TorchTitan). Nice-to-have: ML pipelines (Kubeflow, Airflow, MLflow) and PySpark for large data pipelines.

Remote Staff Research Engineer role on GitHub Next focused on turning ambitious AI and software development ideas into working prototypes and products. Requires deep software development and research experience (minimum 8 years options described), prototyping skills, familiarity with ML/AI, frontend/backend stacks, and collaboration across teams and stakeholders.

Senior/staff individual contributor responsible for defining and driving the technical roadmap for ClickUp's data platform, building scalable data pipelines and infrastructure (AWS serverless, Snowflake, dbt), designing systems for AI/ML workloads (feature stores, training/embedding pipelines, model serving), enforcing engineering standards (observability, CI/CD, testing), optimizing cloud cost, and mentoring senior engineers.

Join Hopper's Fintech Foundation as a Senior Software Engineer to design, build and evolve machine learning systems that power real-time pricing across partners. Responsibilities include implementing automated training pipelines, building ETL and feature engineering flows, deploying and monitoring production ML pricing solutions, and running champion-challenger experiments. The role expects 5+ years of relevant experience and proficiency in Python, Scala and SQL.

Work on applied machine learning to detect, score, and investigate fraud across voice/IVR using audio, behavioral, and metadata signals. Responsibilities include building fraud risk models and scam detection systems, analyzing fraud patterns, supporting investigations, and moving research into production. Requires an advanced degree or equivalent experience and 3+ years in ML, fraud detection, speech/NLP, or related fields. Remote (US).

Lead a senior engineering team for Thunderbolt, moving the project from R&D to production readiness. Responsibilities include managing engineers and contractors, contributing to the codebase, establishing release and engineering practices, and partnering across product and design to deliver a secure, privacy-respecting, enterprise-grade open-source AI product. Requires 15+ years software experience and 5+ years managing technical teams.

Join Reddit's Ads Optimization organization to design and implement optimization algorithms and end-to-end systems for auctions, bidding strategies, and budget pacing. The role requires building, deploying, and operating ML systems at scale, collaborating with Product, Data Science, and Infra teams, and leading technical work at the IC4/senior level.

Stitch Fix is hiring an ML Platform Engineer responsible for designing, developing, and supporting scalable, resilient services and frameworks for ML/AI: model training and deployment, feature engineering/serving, candidate generation, AI agent deployment, and observability. Requires 5+ years software development experience focused on data/ML/AI infrastructure, proficiency with Python and/or Golang, experience with tools like Kafka, Postgres, Redis, FastAPI, Ray/AnyScale, LangGraph/LangSmith, and cloud providers such as AWS. Role involves collaboration with data scientists and cross-functional partners and improving platform operations and best practices.

NVIDIA seeks a PhD student to develop novel architectures and system software for scalable multi-GPU platforms, analyze interactions among applications, OS, CPU and GPU, collaborate across hardware and software teams, and publish research. Requires current PhD enrollment in CE/CS/EE or similar, research experience in computer architecture/OS/compilers/HPC, expertise in GPU architecture and CUDA, and experience with cluster programming and performance analysis. Hourly intern pay listed as $30–$94.

Veeva seeks a Senior Data Scientist to design methodologies and models for large-scale health data challenges (e.g., identity resolution, natural language search over claims). The role requires 4+ years of data science experience (or 2+ with a Ph.D), fluency in Python, experience with Spark and healthcare data, and responsibilities include prototyping, collaborating with product and engineering, and productionalizing scalable models. Listed base salary range: $135,000–$185,000 (USD).

Join the Veeva Compass Patient team as a Senior Data Scientist to create greenfield methodologies and models for large-scale healthcare data challenges (e.g., identity resolution, natural language search over claims). Responsibilities include applying statistical and ML techniques at scale, prototyping and iterating solutions, collaborating with product, analytics, and engineering teams, and productionalizing and monitoring models. Requires 4+ years hands-on data science experience (or 2+ with Ph.D.), fluent Python, experience with healthcare data and large-data frameworks (e.g., Spark).

Join Veeva as a Senior Data Scientist on the Compass Patient team to design methodologies and models for large health datasets. Responsibilities include applying statistics, ML, and NLP (Python, Spark) to claims/EHR/pharmacy data, prototyping and productionalizing models, anomaly detection, performance measurement, and collaborating with product, analytics, and engineering teams. Requires 4+ years of hands-on data science or 2+ with a Ph.D.

Grafana Labs is hiring a Staff AI Engineer to design, prototype, and ship AI-driven observability features (LLMs, agent workflows, GenAI) that help detect, triage, and resolve incidents. Role emphasizes production software delivery, rapid experimentation, cross-functional collaboration, and cloud-native deployment. US base salary range: USD 174,986–220,000.

Lead architecture and delivery of core platform systems including the LLM Gateway, AI Hub, and agent runtime; design knowledge base infrastructure and AI FinOps capabilities; build evaluation and observability tooling and partner across security, legal, product, and cloud providers. Role requires 8+ years of software engineering experience with at least 3 years building ML/AI infrastructure or LLM systems and fluency in Python plus a systems language (Go, Rust, or C++).