Lead and grow the Trust & Safety Data Engineering team, defining roadmap and technical strategy. Build privacy-safe datasets and pipelines for abuse detection, fraud detection, and safety monitoring. Partner with stakeholders to ensure launch readiness and operational rigor.

Leads research and productionization of diffusion, vision-language, and vision-language-action models for real-time robotic perception on construction sites. The role requires 8+ years of deep-learning R&D or an advanced degree with strong publications, plus expertise in scalable training and edge deployment.

Mach9 is seeking a Head of Machine Learning to lead and grow a team of ML engineers and researchers. This hands-on leadership role involves defining the technical vision for ML strategy, mentoring the team, and owning the process from research to product.

Build and operate the identity data platform that ingests, transforms, and serves high-volume identity data to power all Lumos products. Own ingestion pipelines, service layers, APIs, and observability for correctness and reliability.

As a Senior Machine Learning Engineer, Model Risk Management, you will independently challenge model owners across lending, fraud, and AML, ensuring models are sound for customers and regulators. You will hunt for silent errors, build agentic validation tooling, and define standards for production AI systems.

As a Senior Software Engineer, Data Processing, you will own the data processing layer at ingestion, building and operating systems that transform large-scale source data into clean, structured, AI-ready datasets. This is a hands-on, backend- and data-heavy role with end-to-end ownership of data pipelines.

As an ML Engineer at Mach9, you will build perception models for an AI-enabled CAD system, focusing on extracting 3D object and line features from LiDAR point clouds and imagery. This role involves end-to-end ownership from research to production.

Lead end-to-end delivery of ML initiatives for customer support, focusing on conversational AI and generative AI. Partner with cross-functional teams to define ML roadmaps and drive R&D efforts for next-generation chatbot architectures.

As a Software Engineer on the Hosted Model Infrastructure team, you will build and operate high-performance model serving infrastructure, deployment pipelines, and observability for production AI systems. This role involves working across the full stack to enable ML models in various environments, including air-gapped government networks and edge nodes.

As a Senior Data Scientist on the Trust team, you will protect the integrity of Linktree's platform by applying data science and statistical modeling expertise to measure harm, assess risk, and improve detection and mitigation systems. You will define core Trust metric frameworks and evaluate ML and LLM-based safety systems.

As a Data Engineering Manager, you will lead the Data & ML Platform team, owning platforms for analytics, experimentation, and machine learning. You will guide the evolution towards a streaming-first, ML-ready architecture and partner with Data Science to operationalize models.

As a Senior Staff Machine Learning Engineer, you will design and build large-scale, end-to-end recommendation systems for Reddit's Notifications Relevance team. You will leverage machine learning and LLMs to deliver personalized content to users, driving growth and user engagement.

As a Data Scientist, you will lead the future of analytics at Ramp by developing data products and insights. You will partner with business stakeholders and product, engineering, and design counterparts to prioritize and execute work, improve reporting, and drive results.

Build secure, scalable generative AI services, APIs, and interfaces for enterprise customers. The role requires production Python experience, expertise with LLM applications and agentic frameworks, cloud-native architecture, and strong collaboration across engineering and product teams.

Build and scale secure generative AI services and applications using Python, LLMs, and modern frameworks. Own architecture decisions from proposal through production deployment for enterprise customers.

Build and scale low-latency speech and LLM systems powering conversational healthcare voice agents. The role requires 3–5 years of end-to-end product engineering experience, distributed-systems expertise, and familiarity with the modern Python and React stack.

As a Staff Data Engineer, you will architect and scale Imprint's data platform, optimizing infrastructure and driving technical excellence. You will build critical financial reporting pipelines, establish data standards, and mentor other engineers.

As a Member of Technical Staff on the Data Platform team, you will design and operate large-scale batch and streaming data pipelines, lead data orchestration architecture, and build self-serve data platforms. This role involves shaping the technical direction of Perplexity’s data ecosystem and mentoring engineers.

As Marketing Analytics Lead, you will own end-to-end marketing analytics, focusing on measurement, attribution, and improving marketing performance. You will build data models and pipelines, and surface actionable insights to drive user growth and efficiency.

As a Senior Software Engineer on the AI Platform team, you will own end-to-end technical design and implementation for high-impact AI platform initiatives. You will build scalable agent infrastructure, design observable and self-correcting systems, and mentor junior engineers.

As a Data Scientist, Platform Product, you will drive data-informed decision-making for Anthropic's Developer Platform. You will define key metrics, conduct deep dives into product and usage data, and apply rigorous causal inference methods to evaluate platform changes and influence the product roadmap.

Anthropic is seeking a Research Scientist to join their Life Sciences team. This role involves building and shipping agentic tools, designing evaluation benchmarks, and partnering with external users to improve model capabilities on scientific tasks.

Leads advanced analytics for Airbnb’s Hosting Services programs, using statistical modeling, experimentation, causal inference, and business insight generation across markets and host segments. Requires a quantitative bachelor’s degree and 8+ years of analytics or data science experience.

As an early member of the Safeguards Data Science and Analytics team, you will build and scale a data-driven culture, defining key metrics, analyzing user behavior, and influencing product strategy to deploy safe, frontier AI at scale.

As a Senior ML Software Engineer on the Mapping team, you will develop and launch machine learning models to detect environmental changes and update Lyft's digital map. This role involves end-to-end ML solution development, data analysis, and production-quality coding.

Quantitative Developer building and maintaining portfolio compliance and analytics features. Works cross-functionally to onboard clients, debug calculations, and implement new functionality. Requires strong Python/Java/C# skills and quantitative background.

Leads a team responsible for financial risk analytics, loss provisioning, forecasting, and executive risk reporting across fintech products. Requires substantial data science and risk experience, team leadership, quantitative graduate education, and expertise in Python, R, and SQL.

As a Staff Software Engineer, Machine Learning Platform, you will be a technical lead, defining strategy and leading the technical direction for the next generation of ML infrastructure at Stripe. You will take ownership of end-to-end architecture and system design for complex projects, working cross-functionally to drive significant business impact.

As a Staff Data Scientist, Marketplace Analytics, you will be a senior analytical voice at Zocdoc, leading experimentation and analytical strategy across product, growth, monetization, and marketing initiatives. You will apply rigorous experimentation and causal inference frameworks to complex business problems.

Build and operate high-performance Rust infrastructure powering production AI agents, including inference, orchestration, execution, reliability, and observability systems. The role requires 5+ years of high-scale production engineering experience and expertise in distributed systems, performance optimization, and ML infrastructure.

As a Software Engineer, Data Infrastructure, you will design and build resilient and scalable data systems for real-time data movement, processing, and storage. You will drive innovation in data ingestion, transformation, and delivery, enabling actionable insights across the company.

As a Member of Technical Staff, Robotics Research Engineer, you will lead the robotics vertical of world models, transforming video-native foundation models into policies for real robots. This hands-on role involves designing robot learning pipelines, deploying policies on hardware, and conducting experiments to advance manipulation and locomotion performance.

As a Software Engineer on the Inference Stack team, you will build the distributed runtime that powers large-scale LLM inference. This role involves working across the stack, from developer experience to low-level infrastructure, and owning systems in production.

As a Software Engineer, you will build and design the machine learning infrastructure for OpenAI's monetization and ads systems. This involves developing large-scale data pipelines, model training platforms, real-time inference systems, and experimentation frameworks to support high-throughput, low-latency advertising workloads.

As a Research Scientist II on the Video team, you will drive core research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions, focusing on real-time video processing and deepfake detection.

As a Senior Staff Data Scientist, you will be the go-to expert on experimentation methodology for Reddit's Consumer team, tackling complex challenges like network effects and influencing product strategy through rigorous experimental design and analysis.

As a Simulation Researcher/Engineer, you will design and build simulation environments for training general-purpose robot policies. This role involves working with generative models and classical physics simulation, developing differentiable pipelines, and driving asset generation.

As a Research Scientist on the World Models team, you will invent next-generation world model architectures with a focus on controllability and physical consistency, develop controllability mechanisms, and define and own metrics for physical fidelity and action-following.

As a Software Engineer on the Data & Analytics Platform team, you will design, build, and optimize the data platform to support various data-driven initiatives. You will work with cross-functional teams to architect scalable solutions and implement data infrastructure using modern data technologies.

As a Senior Staff Data Platform Engineer, you will define platform standards, lead cross-domain initiatives, and shape the future of Zocdoc's analytics and data infrastructure. You will ensure the data ecosystem is secure, reliable, compliant, performant, and cost-efficient.

Build and operate large-scale web data pipelines for pretraining language models, including extraction, filtering, quality scoring, deduplication, and corpus analysis. The role requires strong Python and data-engineering skills, experience with large web datasets, and collaboration across research and engineering teams.

As a Machine Learning Researcher specializing in audio, you will lead the evaluation and optimization of large-scale speech datasets for AI models. This involves researching audio data quality, developing new metrics and evaluation frameworks, and translating insights into practical tools to improve model performance.

This is a research role focused on building models that continuously evolve with the world, with a focus on efficiency, gradient-free exploration, real-time learning, and interface design. The role requires strong programming skills and expertise in model optimization techniques.

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, Product, and Design teams, and advocating for user experience in technical decisions.

As a Safety Performance Analyst, you will assess and improve the safety of autonomous vehicles by reviewing and classifying safety-critical events. You will use Python and SQL to analyze data and contribute to the development of safety frameworks.

As an IT Controls Data Engineer, you will build and maintain data infrastructure for audit readiness, IT controls, and continuous control monitoring. This role involves designing pipelines, datasets, and automated validation to ensure reliable control data.

Join the alignment research team to work on high-impact, under-resourced projects focused on AI alignment. This role requires strong ML research and Python skills to build, train, or evaluate deep learning models.

As a Senior Machine Learning Engineer, you will develop and deploy state-of-the-art ML solutions for healthcare problems, working with large medical datasets and owning ML services end-to-end. This role requires expertise in LLMs, cloud platforms, and ML frameworks.

As a Lead Analyst, Advanced Analytics, you will drive data-driven decision-making for Airbnb's Payments operations. You will leverage advanced analytics, AI/ML models, and experimentation to solve complex problems, optimize payment processes, and enhance Host and Guest experiences.

Voleon Securities is seeking an experienced and creative reinforcement learning researcher to join their ML research group. This role focuses on applying state-of-the-art AI/ML techniques to construct market-making strategies and optimize trading models.