Builds scalable data infrastructure for autonomous driving ML systems, processing large-scale batch/streaming data from logs and simulations. Requires Python/C++ proficiency, data pipeline experience, and bachelor's in CS/EE; 1+ years experience.

Build scalable data infrastructure for ML training and evaluation in autonomous driving, including batch/streaming pipelines, storage systems, dashboards, monitoring, data mining, and annotation tools. Requires 4+ years experience, Python proficiency, and engineering leadership.

Build scalable data platforms for autonomous driving ML systems, including batch/streaming pipelines, storage, dashboards, and monitoring. Requires 4+ years experience in large-scale data systems, Python/C++, and engineering leadership.

Leads strategy and technical execution for Reddit's marketing intelligence, building MMM and MTA systems to optimize B2B advertiser acquisition and B2C user growth. Requires advanced degree, 6-10+ years experience in marketing science/econometrics, and expertise in Python/R/SQL for causal inference and experimentation.

Designs, builds, and deploys production AI/ML systems for financial operations like invoice matching and payment reconciliation. Requires 5+ years software engineering with 2+ years applied AI/ML, expertise in LLMs, RAG, and Python/PyTorch.

Designs and evolves foundational payroll data models and materialization pipelines across multiple countries. The role requires 5+ years of software engineering experience, strong backend and data modeling expertise, and the ability to lead cross-team architecture and reliability efforts.

Leads Rover’s Product Analytics organization, shaping product and marketplace decisions through experimentation, metrics, and rigorous analysis. Requires 10+ years in analytics or data science, 5+ years leading teams, expert SQL, and strong stakeholder influence.

Conducts research on visual perception, multimodal learning, and large-scale AI model training. Designs architectures, builds datasets and evaluations, and collaborates on frontier models. Requires ML expertise, Python proficiency, and experimental rigor.

Designs and implements methods for sourcing, curating, and analyzing large-scale pre-training datasets for AI models, blending research with production-grade data engineering. Requires Python proficiency, deep learning frameworks, and strong ML fundamentals.

Develops and tunes post-training recipes for AI models, iterates on evaluations, debugs configurations, scales methodologies, and publishes research to advance collaborative intelligence. Requires Python proficiency, deep learning frameworks, and strong ML fundamentals.

Conducts research to advance audio capabilities in AI models, designing and training large-scale multimodal systems, building audio data pipelines, and publishing findings. Requires ML expertise, Python proficiency, and experience with deep learning frameworks.

Owns end-to-end analytics engineering including dbt models, orchestration, metrics, documentation, and data quality in Snowflake. Requires 5+ years experience, strong SQL/data modeling, and orchestration tooling expertise.

Lead RWD strategy and data engineering at a tech-driven pharma company. Own sourcing, harmonization (OMOP), infrastructure, and vendor management to deliver analysis-ready datasets supporting drug development and portfolio decisions.

Builds and ships AI agents that automate complex audit workflows using LLMs, retrieval pipelines, and orchestration logic. Owns end-to-end development, evaluation, reliability, and mentoring while partnering with product and design teams. Requires 3+ years experience with production LLM features.

Designs, builds, and deploys production ML systems for content safety, moderation, and policy enforcement at Spotify scale. Leads technical initiatives, develops multimodal/LLM models, and collaborates with Trust & Safety, Legal teams on safety-critical systems.

Builds and deploys custom integrations, APIs, and scalable solutions for enterprise clients using Mercor's AI platform. Requires strong engineering skills in modern languages and cloud environments, with customer-facing experience.

Develops and maintains behavioral models for road users (vehicles, pedestrians, cyclists) in autonomous driving perception stack. Requires MS/PhD, 7+ years experience, deep learning expertise, Python fluency, and production ML pipelines.

Conducts and publishes cutting-edge machine learning research, building and training large language models and contributing to applied AI product initiatives. Applicants should be pursuing a PhD or demonstrate exceptional equivalent experience, with expertise in ML systems, Transformers, programming, and modern ML frameworks.

Leads design and evolution of analytics infrastructure for research reporting, owning pipelines, datasets, and platform standardization. Collaborates with data scientists using Python, SQL, distributed engines like Presto/Spark. Requires 6+ years in data infrastructure.

Builds AI agent systems for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with customers/PMs to ship low-latency agents using Python and LLM APIs; requires 8+ years experience.

Develops performance optimizations for ML models across graph, kernel, and system levels using PyTorch and Thunder compiler. Builds tools, collaborates with partners, and contributes to open-source while requiring strong PyTorch expertise and optimization experience.

Analyzes trading activity, liquidity, and user behavior on the Monad blockchain to address market structure issues and uncover growth opportunities. Requires 3+ years in quant roles (preferably HFT), expertise in market microstructure, and strong proficiency in numpy/pandas.

Develops ML perception algorithms and 4D world representations for autonomous vehicle stacks. Tests on real vehicles and collaborates with research teams. Requires 3+ years experience, C++/Python proficiency, and ML deployment expertise.

Develops and operates large-scale search engine infrastructure, including retrieval algorithms, indexing, and ML ranking models integrated with Grok AI. Requires experience with search systems, vector databases, and production ML in Python, Go, or Rust.

Analyzes B2B marketing performance, owns ROI reporting, pipeline insights, and experimentation to optimize spend and drive revenue. Requires 5+ years in marketing/GTM analytics, strong SQL/BI skills, and SaaS metrics knowledge.

Leads a team of senior data scientists developing and deploying LLM-based ML products, defining technical roadmaps, overseeing model training/inference pipelines, and translating outputs into actionable insights for civic applications. Requires 6+ years ML experience and 1+ years leading teams.

Leads development of user-facing AI features using LLMs and AI models, integrating them into production for scalable, personalized experiences. Requires 5+ years engineering experience with Python/JS, databases, and AI orchestration expertise.

Builds scalable AI platform services for deploying and managing LLMs, integrates with providers like OpenAI and Anthropic, and applies AI to enhance product features. Requires deep backend expertise, distributed systems, and MLOps experience.

Build and maintain a platform for creating and deploying multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI backend engineering, evaluation frameworks, privacy, and search integration.

Senior AI Engineer builds and deploys user-facing AI features using LLMs and AI models, integrating them into production for scalable, personalized experiences. Requires 5+ years engineering experience with Python/JS, databases, and AI expertise.

Builds scalable AI platform backend for deploying and managing LLMs, integrates with providers like OpenAI/Anthropic/Google, and applies AI to enhance product features. Requires deep backend expertise, MLOps, cloud-native tech, and production AI experience.

Builds backend platform for multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI/ML, agent workflows, evaluation, privacy, and search integration.

Staff Data Scientist partners with product and engineering to optimize monetization via subscriptions, ads, and virtual currencies. Leads experimentation, defines metrics, and delivers insights from behavioral data for revenue growth. Requires 7+ years in consumer products.

Build and own the agent runtime, orchestration layer, and long-horizon coding agent workflows for an AI-driven consumer social platform.

Principal engineer architecting and building Redpanda's Agentic Data Plane, enabling AI agents to safely interact with enterprise data via streaming, query, and governance layers. Requires 10+ years building large-scale distributed systems and experience with agentic AI infrastructure.

Analyzes AI search performance data to build dashboards, deliver customer insights, diagnose issues, and design experiments. Requires 2-4 years in analytics with strong SQL/Python skills and customer-facing communication.

Conducts research on foundation models for robotics, focusing on manipulation, sim-to-real transfer, RL, and skill learning using simulations and real robots. Requires PhD-level expertise in robotics/AI, strong publications, and software skills for open-source breakthroughs.

Builds and maintains a high-quality data platform delivering Forge data to clients, implementing features with agile methodologies. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, AWS, and SQL databases; hybrid in Soho, NY.

Builds and maintains a high-quality data platform for delivering Forge's financial data to clients, implementing features with agile methods. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, AWS, and SQL/PostgreSQL.

Builds and productionizes AI platform components including LLMs, agentic frameworks, and core agent capabilities. Requires 3-6+ years backend experience with Python, Golang, AWS, Kubernetes, and AI-native product shipping.

Design domain-specific problems and datasets to evaluate advanced generative AI models, provide expert insights for improvement, and co-author research publications. Requires 5+ years software engineering or equivalent expertise with strong coding in Python, Java, Rust, etc.

Analyzes top-of-funnel metrics for brand marketing, executive programs, and mindshare initiatives at Intercom. Partners with GTM teams to design experiments, measure awareness/engagement, and provide actionable insights using SQL and BI tools. Requires 5-8 years analytics experience.

Designs evaluation pipelines, metrics, and user studies for speech generation and recognition models (ASR/TTS). Trains evaluation models, builds dashboards, and collaborates with ML, data, and product teams to improve performance on large-scale systems.

Designs and deploys LLM-based ML systems for personalized music recommendations, playlist generation, and session experiences at Spotify scale. Requires expertise in ML, NLP, generative AI, and large-scale data processing tools.

Builds foundational, production-grade multimodal ML systems for content understanding, moderation, ranking, risk detection, and platform decisioning. The role shapes technical strategy, improves automation and reliability, and mentors engineers across content, policy, and trust and safety initiatives.

Develops advanced post-training and reinforcement learning techniques like RLHF/DPO and reward modeling to enhance AI model reasoning, truthfulness, and real-world capabilities at xAI. Seeks passionate AI enthusiasts obsessed with truth-seeking models; prior experience preferred but not required.

Senior Product Data Analyst partners with PMs and engineers to define metrics, design experiments, build dashboards, and deliver insights on payments and stablecoin products. Requires 5-8 years analytics experience, expert SQL, Python/R, and strong product judgment.

Forward Deployed AI Engineer works directly with customers to identify pain points, builds and deploys AI-powered solutions and automations (50% coding), and drives business impact through rapid iteration. Requires Python/JavaScript proficiency, AI tool experience, and founder-like ownership in an in-person environment.

Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.

Lead design and scaling of analytics infrastructure, building trusted datasets, Looker dashboards, and self-serve analytics capabilities while partnering with data and business teams.