Build dashboards, define metrics, and partner with AI/product teams to drive data-informed decisions on customer interactions and agent performance. Requires 3+ years experience, strong SQL/dbt skills, and warehouse experience.

Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, and advocating for user experience in technical decisions.

Senior data engineer building scalable data products, models, and governance processes. Focus on automation, performance optimization, and enabling self-serve analytics for a fast-growing SaaS company.

Senior Data Scientist partnering with Product, Marketing, and CX to analyze customer behavior, design experiments, and build models that drive product and business decisions in a B2B SaaS environment.

Build financial data models and pipelines with dbt and Snowflake to power analytics and decision-making. Partner with Finance and Product to deliver dashboards and semantic layers for key business metrics.

Principal MLE focused on fine-tuning and optimizing large language models for production, building scalable AI pipelines, and shaping Airbnb's ML platform strategy. Requires 10+ years experience and a PhD.

Lead Protege's DataLab research organization, defining strategy for AI training data quality, evaluation systems, and marketplace optimization while managing researchers and partnering with Product, Engineering, and GTM.

Build and maintain infrastructure for large-scale RL training runs of frontier OpenAI models. Debug across training, inference, and distributed systems while supporting research integrations.

Build and ship production-grade AI agents and experiences that help creators personalize, automate, and grow. Requires strong product engineering skills, hands-on LLM/agent experience, and rigorous evaluation practices.

Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 2+ years shipping production algorithms and expertise in ML, optimization, and heuristics.

Lead design and production delivery of LLM-powered AI features including real-time coaching, call insights, and prospect enrichment. Requires 7+ years building and shipping ML systems with deep LLM experience.

Hands-on senior software engineer focused on maintaining and improving ML training infrastructure, debugging training systems, and unblocking researchers on the robotics team.

Build AI agents, memory systems, and governance layers for a platform that lets non-engineers create enterprise software. Requires backend, LLM, and security experience.

Build and own high-performance JVM-based connectors, drivers, and integrations connecting ClickHouse with streaming frameworks and the broader data ecosystem. The role requires 6+ years of software development experience, deep Java expertise, and production experience with streaming connectors and distributed messaging systems.

Build and maintain high-performance Java/JVM connectors, drivers, and SDKs that integrate ClickHouse with streaming and data-processing ecosystems. The role requires 6+ years of software development experience, production connector expertise, and strong knowledge of Java concurrency, distributed messaging, and database systems.

Build and maintain high-performance Java/JVM connectors, drivers, and SDKs that integrate ClickHouse with streaming and data-processing ecosystems. The role requires 6+ years of software development experience, strong Java concurrency and performance expertise, and production experience with streaming connectors.

Senior software engineer building and maintaining high-performance JVM-based connectors, drivers, SDKs, and integrations for ClickHouse’s streaming and data engineering ecosystem. Requires 6+ years of experience with Java, distributed messaging, streaming frameworks, concurrency, and scalable data integration systems.

Build and maintain high-performance Java/JVM connectors, drivers, SDKs, and streaming integrations for ClickHouse’s data ecosystem. The role requires 6+ years of software development experience plus deep expertise in Java concurrency, distributed messaging, streaming frameworks, and data-intensive systems.

Senior software engineer building and maintaining high-performance Java/JVM connectors, drivers, SDKs, and integrations for ClickHouse across streaming and data-processing ecosystems. Requires 6+ years of software development experience and deep expertise in Java concurrency, distributed messaging, databases, and performance optimization.

Lead customer AI programs on the Cortex AI team, owning end-to-end delivery of LLM and agentic solutions while mentoring 2-6 engineers and staying hands-on. Requires 5+ years of software engineering experience with proven productionization of LLMs, RAG, and evaluation frameworks.

Hands-on Applied AI Engineer on the Cortex AI team building and deploying production-grade AI agents and solutions for enterprise customers using Snowpark, Cortex, and native LLM capabilities.

Own the technical vision and architecture for a data & ML platform serving analytics, product, and machine learning workloads. Drive cross-org initiatives, set platform standards, and build infrastructure at the intersection of data engineering and ML systems.

Technical lead for ML team building personalization, ranking, and search systems at scale. Own architecture, model training, deployment, and serve as hands-on mentor driving production ML systems.

Open general application for computational biology, ML research, data science, software engineering, and program roles at DiffUSE, focused on protein dynamics, structural data infrastructure, and open science tooling.

Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.

Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.

Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.

Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.

Senior individual contributor Product Data Scientist driving growth analyses, experimentation, and applied analytics for a mental health tech platform. Owns opportunity sizing, experiment design, and cross-functional insights for Product, Engineering, and Operations stakeholders.

Data Mining Analyst responsible for extracting insights from large healthcare datasets using SQL and data mining techniques. Lead small projects, create reports, and train new analysts while collaborating across departments.

Build and scale reliable data pipelines for the Growth team, establish dbt and data-quality standards, and enable self-service analytics across cross-functional teams. The role requires strong data engineering experience, expert dbt knowledge, and proficiency in Python and SQL.

Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.

Lead a world-class research team advancing LLM scaling, post-training, RL, and inference efficiency at Databricks AI. Drive research roadmap and translate breakthroughs into production systems while collaborating closely with engineering and product teams.

Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.

Staff-level IC building and scaling the ML/AI platform infrastructure that enables training, deployment, and serving of models and agentic systems at massive scale. Focus on high-leverage architecture decisions and technical leadership across Attentive’s AI organization.

Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.

Staff ML Engineer to own the model serving stack for real-time voice inference (STT, TTS, speech-to-speech) on H100/H200 GPUs. Drive latency/throughput optimization using TRT-LLM and SGLang for models like Whisper and Parakeet.

Lead data infrastructure for a national security tech company building a high-performance data lake and ETL pipelines for petabyte-scale cyber operations datasets. Requires 8+ years experience, strong data lake expertise, and proven technical leadership.

Develop multi-agent AI architectures for enterprise coordination and collaborative reasoning. Requires research experience in MARL/GNNs, strong prototyping skills, and daily AI tool usage.

Develop and apply post-training methods and interpretability techniques to improve safety and understanding of frontier AI systems. Requires 3+ years of ML experience, expertise in RL techniques like RLHF and DPO, and published research in generative AI.

Data Scientist partnering with engineering teams to measure, optimize, and improve Pinterest's infrastructure systems including performance, reliability, and metrics quality. Requires strong SQL, experimentation skills, and experience building production data pipelines and measurement frameworks.

Senior Research Engineer leading development of real-time voice and speech models for conversational AI agents. Owns end-to-end research, training, deployment, and production integration of LLMs focused on speech understanding, turn-taking, and task completion. Requires 6+ years AI/ML experience with production LLM deployment.

Build and deploy scalable AI applications and intelligent agents for enterprise customers. Requires 5+ years of experience with Python, ML frameworks (PyTorch/TensorFlow/JAX), LLMs, and cloud platforms.

Build and deploy scalable AI applications, intelligent agents, and LLM-powered features for enterprise customers. The role requires 5+ years of production AI or machine-learning experience, strong Python and ML framework expertise, and knowledge of cloud and MLOps.

Founding AI Engineer building and shipping production-grade computer vision, LLM, and multimodal models for real-world construction documents at an early-stage startup.

Build and deploy learned components for contact-rich manipulation on physical robots, owning data collection, model training, evaluation, and edge deployment. The role requires strong Python and PyTorch skills, robotics middleware and simulation experience, and hands-on machine-learning deployment on real hardware.

Data Scientist focused on safety at OpenAI, building analytics to measure harmful behavior, detect fraud, evaluate safety systems, and inform critical decisions on AI deployment. Requires strong SQL/Python, statistical reasoning, and experience with causal analysis.

Lead the design and scaling of ML infrastructure and GenAI platforms at Weave, enabling product teams to deliver AI-powered healthcare communication features. Requires deep expertise in MLOps, LLMs, distributed systems, and cross-team technical leadership.

Owns analytics for Airbnb's guest lifecycle marketing programs. Sets strategy, designs large-scale experiments, and drives incremental bookings through insights and measurement.

Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.