Build and ship real-time machine learning and AI products that structure financial transaction data, partnering with engineering and product from prototype through production. The role requires 3+ years of model development experience, with senior openings requiring 5+ years and mentoring experience.

Build and operate high-throughput streaming systems and database internals for Snowflake’s cloud-scale data platform. The role requires 5+ years of distributed-systems or related experience, strong programming skills, and expertise in correctness, fault tolerance, and state management.

Build and evolve Snowflake’s real-time stream processing and data transformation platform, focusing on low-latency execution, correctness, performance, and cloud-scale reliability. The role requires strong distributed systems fundamentals and experience with streaming or transformation engines.

Build and operate an automated inference optimization platform spanning control planes, secure partner-side runners, compilers, and evaluation systems for new accelerator hardware. Requires 8+ years building large-scale distributed systems with strong performance and systems expertise.

Develop next-generation 3D occupancy and segmentation networks for autonomous vehicles by fusing Lidar, Camera, and Radar data into temporally consistent voxel representations. Requires MS/PhD + 6+ years experience in 3D CV, multi-modal fusion, and PyTorch.

Staff Data Scientist on Reddit's Ads team owning high-impact problems in measurement, identity resolution, and signal quality. Develop probabilistic models, advance lift/experimentation methodologies, quantify signal value for predictive models, and set technical direction while influencing cross-functional partners. Requires advanced degree, 6-10+ years experience, and deep ads ecosystem expertise.

Lead scientific strategy for Reddit's ads measurement, signals, identity, and privacy systems. Architect experimentation, causal inference, lift studies, and privacy-aware frameworks while influencing executives and mentoring senior data scientists. Requires 10+ years experience and advanced quantitative degree.

Intern on the engineering team owning and shipping a real scoped project end-to-end (design to production code) in voice AI, ASR, TTS or related systems. Requires self-motivated builder with first-principles reasoning, AI-first mindset, and ability to quickly learn new languages/codebases.

Lead and mentor a team of applied and clinical researchers as a player-coach. Guide ML research in NLP, LLMs, and clinical applications for radiology, translating ideas into production systems while partnering with clinicians and engineers. Requires MS/PhD and 6+ years applied ML research experience.

Lead the new ML Data Operations function at Suno, sourcing and developing training data for AI music models through external vendors, in-product collection, and internal systems. Build and manage the team while partnering closely with Research, Product, and Engineering; requires 6-8+ years in data labeling/operations and director-level leadership building new functions.

Research Scientist driving fundamental biological discoveries by building large-scale computational analysis pipelines, partnering with experimental biologists on hypothesis-driven research, and leveraging frontier AI models like Claude on petabyte-scale biological data. Requires PhD and end-to-end computational biology research track record with demonstrated breadth.

Marketing Analyst responsible for SQL analysis, dbt data modeling, attribution, CRM measurement, and building Looker dashboards to drive marketing, finance, and cross-functional decisions at SpotHero. Requires 2+ years analytics experience and strong SQL skills.

Lead ML infrastructure at Reducto by owning the training and inference stack. Hands-on role (80% building/optimizing) focused on GPU utilization, distributed systems, Kubernetes, kernels, and high-performance serving for AI document workflows. Requires 5+ years production ML infra experience and strong systems engineering skills.

Build and productionize agentic AI systems for a cloud-based analytics platform, including routers, tool-calling agents, RAG pipelines, evaluation, and observability. The role requires strong Python and microservices experience plus familiarity with cloud, Kubernetes, and distributed architectures.

Build core AI platform infrastructure at Harvey including model routing, context management, agent architecture, and shared evaluation frameworks that power all agentic legal AI products. Requires 5+ years backend experience with 1+ year in AI/ML, production multi-model systems, and platform-building track record.

Build and shape the Foundation Model API serving layer for large-scale LLM inference (partner and self-hosted models) at Databricks. Requires 8+ years backend/infra engineering experience with distributed systems, ML infrastructure, and a strong product ownership mindset.

Analyzes people and recruiting data, responds to stakeholder requests, and builds ThoughtSpot dashboards and AI-assisted insights. The role requires strong SQL, modern BI, survey administration, and experience working with HCM and people data.

Build and maintain scalable data pipelines, models, and BI dashboards that turn complex data into trusted metrics and insights. Partner with cross-functional teams to drive data-informed decisions at a Series C fintech serving small businesses. Requires 1-3 years experience, strong SQL, Python, and BI tool skills.

Member of Technical Staff on Atlas, Basis's internal team building zero-human AI agent loops for end-to-end knowledge work at an AI-native company. Requires first-principles systems thinking, deep domain understanding, outcome ownership, and in-person work in NYC.

Build and ship production-grade AI-powered features and agentic workflows for analytics and large-dataset use cases. The role requires strong software engineering experience, practical GenAI and LLM expertise, cloud-native exposure, and a rapid experimentation mindset.

Leads the architecture and delivery of scalable data platforms, pipelines, warehouses, and semantic layers supporting analytics, reporting, product experiences, and AI evaluation. Requires 7+ years in data or analytics engineering and strong expertise in SQL, data modeling, Snowflake, dbt, orchestration, and AWS.

Build and productionize scalable, highly available distributed systems and infrastructure for Nuro's data labeling platform that powers autonomous driving ML models. Requires 5+ years experience with reliable large-scale data systems, technical leadership, and strong programming skills in Python, C++, or Go.

Lead technical development of production ML risk signals and features from high-scale device, network, browser, and behavioral telemetry to detect fraud and identity risk at Socure. Requires 12+ years experience, advanced degree, and expertise in adversarial domains, feature engineering, and model validation.

Develop ML features, models, and risk signals from device, network, browser, and behavioral telemetry to improve fraud detection and identity verification. Requires 5+ years in data science/applied ML, strong Python/SQL skills, and experience with noisy telemetry and production ML workflows.

Senior Analytics Engineer partnering with Finance and Operations to own their data layer in Snowflake. Build trusted data models, integrate from ERP/CPM systems, govern metrics, create dashboards, and ensure data quality for business decision-making. Requires 5+ years analytics experience with financial/operational data, strong SQL, and BI tools.

Senior individual contributor on Anthropic's Finance Analytics team, owning measurement of AI model value, market position, benchmarks, pricing elasticity, and launch analytics to inform executive decisions on pricing, packaging, and strategy. Requires hands-on SQL/Python, shaping ambiguous problems, and executive storytelling.

Staff Software Engineer owning architecture and delivery of LLM-powered agentic workflows for marketing content creation, publishing, and reliability at scale. Requires 12+ years experience building production LLM systems, human-in-the-loop designs, stakeholder collaboration, and mentoring.

Founding Data Scientist on OpenAI's Pricing team, building analytical foundations and models for pricing, packaging, and monetization strategy across consumer, SMB, and enterprise segments. Partner directly with CFO and senior leaders on high-impact analyses, experiments, causal inference, and executive recommendations in a zero-to-one role.

Principal Software Engineer driving technical vision for Upstart's Core Pricing platform. Lead design of large-scale ML-powered systems to optimize loan pricing, borrower-lender matching, and marketplace efficiency for personal and unsecured loans.

Build and productionize internal agentic workflows and tooling on OpenRouter to automate support and go-to-market operations. Requires build-over-buy conviction, reliability focus, domain knowledge in support/GTM, backend systems expertise, security mindset, and quantitative evals.

Senior ML Engineer leading architecture and strategy for LLM- and agent-powered quality evaluation systems at Block. Builds scalable AI frameworks to measure product behavior, detect issues, and generate insights across millions of interactions to improve reliability and decision-making.

Build and scale secure data infrastructure at Anthropic, including access control systems, financial data pipelines, cloud storage reliability, and analytics tooling. Requires 10+ years building data/distributed systems, 3+ years leading complex projects, and deep experience with cloud/IaC or programming languages.

Develop and integrate custom real-time computer vision and perception algorithms in high-performance C++ pipelines for autonomous systems. The role requires strong computer vision, software engineering, and edge deployment expertise, with experience in areas such as SLAM, tracking, reconstruction, or deep learning preferred.

Develops custom computer vision and perception algorithms in high-performance C++ pipelines for autonomous systems and edge deployment. Requires strong real-time software engineering, computer vision fundamentals, and experience translating algorithms into reliable production systems.

Develops and integrates custom real-time computer vision algorithms and learned perception models into high-performance C++ pipelines for autonomous edge systems. Requires deep C++ and computer vision expertise, with experience in image processing, machine learning, and real-time deployment.

Build and maintain compliance datasets, data models, ETL pipelines, and measurement frameworks to power BSA/AML detection, monitoring, and controls at Coinbase. Requires 5+ years analytics/data engineering experience, advanced SQL, Python, dbt/Airflow, and regulated environment background.

Supports the reliability and quality of data powering a securities-based lending platform by monitoring data flows, investigating issues, validating deployments, and improving operational processes. Requires a bachelor's degree, strong analytical skills, and SQL proficiency.

Senior individual contributor on the GTM Analytics team building and owning data models, pipelines, semantic layers, deep-dive revenue analyses, forecasting models, and AI-first self-serve tooling for sales, pipeline, and retention insights. Requires exceptional SQL, production data pipeline experience, and strong modeling skills.

Conduct applied research and engineering to improve language-model behavior in real-time voice conversations. The role focuses on fine-tuning, rigorous evaluation, production failure analysis, data strategies, and safely deploying improvements.

Build and ship production AI agents on Cloudflare's edge platform using Workers, Durable Objects, and AI tools. Requires strong TypeScript/Rust experience, observability expertise, and hands-on LLM tooling for evals, safety, and multi-agent systems.

Staff Analytics Engineer owning the semantic layer and data models that serve as the single source of truth for dashboards, self-serve analytics, and AI agents on a Databricks/GCP platform. Requires 8+ years analytics/data engineering experience, deep SQL/Python, strong modeling skills, and production-grade data systems expertise.

Build and productionize cutting-edge ML models for Airbnb's query intelligence, including autocomplete, query tagging, expansion, intent modeling, and LLM-powered natural language search to understand guest intent.

Lead fleet data analysis for V-BAT UAV systems. Own pipelines, metrics, and studies on sensor, navigation, and aircraft performance using large real-world and simulation datasets to drive engineering insights.

Build and maintain large-scale distributed inference systems serving Claude to millions of users. Design intelligent routing, autoscaling, and deployment pipelines across diverse AI accelerators while maximizing compute efficiency for production and research workloads. Requires significant distributed systems experience.

Research-oriented Machine Learning Scientist developing multimodal ML models (NLP, Speech, Computer Vision) for lifelike voice agents. Requires published papers in large-scale deep learning and familiarity with SOTA AI.

Characterize, analyze, and optimize performance of state-of-the-art AI models on Cerebras' wafer-scale hardware. Build performance models, optimize kernels and compilers, debug runtime behavior, and develop visualization tools to influence next-gen AI architecture.

Senior ML Engineer building observability, evaluation frameworks, and improvement loops for production agentic AI systems. Requires 5+ years production ML/LLM experience, strong grounding in agent design or evaluation, and hands-on work taking systems from prototype to scale.

Lead Analyst owns growth measurement, marketplace models, experimentation framework, and analytics for a restaurant loyalty/payments platform. Requires 8+ years in growth analytics or quantitative strategy, expert SQL/Python/R, deep experimentation experience, and fluency in marketplace unit economics.

Build and optimize the RL training framework and infrastructure for large-scale workloads at SpaceXAI, from ablations to production runs. Requires experience with distributed systems and proficiency in Python, JAX, Rust, or C++.

Lead full-funnel marketing analytics and a small AI-augmented team for a consumer fintech platform. Own test-and-learn programs, evolve measurement frameworks (MMM, MTA, incrementality) with ML partners, and drive insights to optimize CAC, LTV, and growth.