Early-career Software Engineer building and iterating on agentic LLM systems, RAG pipelines, evaluation frameworks, and backend/frontend components for AI-powered clinical documentation at Abridge. Requires CS degree or equivalent plus hands-on GenAI experience from projects, internships or coursework.
Lead a team of data scientists focused on marketing analytics for retention and acquisition. Oversee production ML models, causal inference projects, and LLM integration to drive marketing decisions and business outcomes. Requires 7+ years data science experience including 3+ years managing teams.
Build and maintain scalable cloud ML infrastructure and CI/CD pipelines to productionalize models for Data Science and AI teams at WHOOP. Requires 2+ years software engineering focused on ML infrastructure, Python/Java, cloud services, and ML lifecycle knowledge.
Lead AI evaluation for Figma's AI-powered products. Define quality metrics, build human + automated eval frameworks (rubrics, golden datasets, LLM-as-judge), manage a small team, and deliver decision-ready insights to Product, Design, and Engineering stakeholders.
Drive credit risk strategy for Stripe Capital by architecting policies, analyzing data (proprietary + third-party), monitoring portfolios, and collaborating with Product, Data Science, and Engineering teams to underwrite and scale lending products.
The Operations Data Analyst translates semi-structured engineering data into structured records in PLM/ERP systems, owns master data integrity, and supports material planning and allocation across programs. Requires 5+ years in data/configuration management or supply chain, advanced Excel, and cross-functional collaboration in a fast-paced technical environment.
Build and own ML models, fine-tuning, evaluation harnesses, and routing for Kepler's AI agent harness in finance. Requires 5+ years production software experience and shipped ML systems focused on correctness, evals, and real-world reliability.
Build and scale video generation models at Mirage. Optimize training/inference for low-latency, real-time performance using PyTorch, CUDA, and distributed systems. Requires 2+ years industry experience in deep learning infrastructure.
ML Engineer building and improving agentic systems powered by LLMs for multimodal video understanding, reasoning, and creative editing tasks at an AI-native video platform. Requires strong production ML experience with transformers, fine-tuning, and experimental rigor.
Build and ship end-to-end agentic systems and architectures for creative video workflows at an AI-native video platform. Requires 5+ years building production ML/agentic pipelines, deep RAG/context engineering experience, and strong evaluation skills.
Staff Machine Learning Engineer designing, training, and deploying advanced ML models (DNNs, transformers, RL) for Reddit's large-scale online advertising ranking, optimization, and marketplace systems. Requires Master's, 3+ years experience, technical leadership, and expertise in production ML systems.
Senior Software Engineer at Reddit building scalable distributed systems, integrating applied ML and Generative AI for real-time search, ad ranking, and data pipelines to drive advertiser revenue growth. Requires BS in CS/Engineering and 5+ years experience.
Build and scale Traba's applied AI platform for industrial supply chain staffing and operations. Architect core backend systems integrating frontier models and agents for automation, matching, and vetting while owning performance and infrastructure.
Build and lead Traba's agentic AI platform as a founding member of the Agents team. Architect orchestration, evals, model strategy, and integrations for autonomous agents in industrial supply chain workflows. Requires 7+ years engineering experience including production LLM/agent systems, with customer immersion and 0-to-1 build experience.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 5+ years software engineering with 1+ year shipping LLM/agent features, strong Python/TS, and high-agency customer immersion.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 1+ years shipping LLM/agent features to production, strong Python/TS skills, and high-agency in ambiguous customer environments.
Machine Learning Engineer owning the full ML lifecycle for multimodal video datasets at Sieve. Fine-tune VLMs, build evaluation/QA pipelines with frontier models, design filtering systems over internet-scale data, and ship production improvements for top AI labs. Requires strong Python, PyTorch, and production ML experience.
Early-career Quantitative Researcher developing ML models and trading signals to predict asset movements and build market-neutral portfolios. Requires STEM degree, Python fluency, and passion for machine learning; embedded in Alpha, Data Science, or Strategy teams.
Build and own evaluation systems, metrics, pipelines, and datasets to rigorously measure the quality of Firecrawl's LLM-ready web data outputs at massive scale, driving model and product improvements.
Lead Data Scientist owning development of core predictive AI/ML models on messy healthcare claims and clinical data to identify waste and improve behavioral health outcomes for payers. Requires 8+ years experience, leadership of data science teams, production model deployment, and strong Python/SQL/ML skills.
Manage end-to-end file-based data integrations, ingestion, transformation, and maintenance for eligibility, marketing, and reporting. Own data integrity, resolve issues, automate workflows with AI, and partner cross-functionally with Customer Success, Engineering, and Revenue Operations teams.
Build and operate realtime and batch data pipelines processing billions of events daily at xAI. Design distributed data platforms, own data correctness, create shared datasets for product and business teams, and partner on data acquisition using tools like Spark, Kafka, Flink, and SQL.
Build production ML systems for measuring, predicting, and scaling data quality for frontier AI models. Requires 3-6 years experience in applied ML or related production systems (ranking, recommendations, data quality, fraud) plus strong software engineering skills.
Build analytical and BI infrastructure for Scale's Public Sector unit. Develop scalable data pipelines, models, warehouses, and quality tests from ambiguous processes to enable decision-making; requires 5+ years experience, SQL mastery, Python/R, DBT, and active Secret clearance.
Data scientist partnering with Product, Engineering, and Design to shape mobile consumer creation roadmap at Suno. Design/run experiments, build analyses to identify magic moments driving creative engagement, establish success metrics, and contribute to data foundations. Requires 6-8+ years in consumer tech/mobile, advanced SQL/Python/stats, and end-to-end experimentation experience.
Lead a Data Science team building production ML, optimization, and AI systems (including agentic workflows) to solve complex operational problems in caregiver-client matching, scheduling, and risk identification for home care. 7+ years experience with 3+ years managing teams; player-coach role partnering with Product, Engineering, and Operations.
Lead the design and implementation of a unified semantic layer and data models from complex enterprise systems (SAP, Salesforce, Workday) to create AI-ready datasets that power intelligent agents, analytics, and decision-making. Requires 10+ years data engineering experience, semantic modeling expertise, and hands-on AI-generated code deployment.
Staff Software Engineer building and optimizing trusted agentic coding systems using generative AI, ML, and systems techniques. Requires 8+ years experience, fluency in multiple languages including Python/TS, deep concurrent programming knowledge, and API/documentation skills.
Build self-healing data ingestion pipelines and integration layers for enterprise systems (SAP, Salesforce, Workday) to deliver AI-ready data for autonomous agents and analytics. Requires 8+ years building production ETL/ELT pipelines with Python, SQL, and orchestration tools.
Develop synthetic sensor simulation models and algorithms using ML techniques like NeRF and Gaussian splatting to generate photorealistic images and realistic lidar/radar data for autonomous vehicles. Requires advanced degree plus 3-5+ years experience, strong ML fundamentals, and Python/deep learning expertise.
Senior engineer building and operating large-scale data acquisition pipelines and backend services for ingesting, transforming, and storing high-volume data using Java, Spark, Airflow, Kafka, and GCP tools. Requires 5+ years experience in data engineering and distributed systems plus a bachelor's degree.
Lead analytics for Total Rewards by building financial models, dashboards, and automated/AI tools to support compensation, benefits, and HR decisions. Requires 3+ years in data/analytics/modeling, advanced Excel, and visualization tools; HCM, Python/SQL, and Total Rewards experience are pluses.
Senior Data Scientist on Plaid's Network Value team supporting the Guard product. Translate product questions into analysis, build metrics/OKRs/dashboards, run experiments, and drive data-informed decisions for a 0-to-1 user-facing fintech product.
Staff Software Engineer leading design and development of large-scale batch and real-time data pipelines and ML infrastructure to power GenAI/LLM products and features for Airbnb's Messaging, Notifications, and Connectivity organization. Requires 9+ years experience building production ML systems and cross-functional collaboration.
Build, optimize, and scale Ray Data, a Python-native data processing engine for AI/ML workloads. Improve performance, ensure fault tolerance at high scale, and support production training and multi-modal batch inference for AI-native companies.
Build and maintain the Science Platform that runs geo-based experiments, statistical estimation, and daily analysis pipelines for causal marketing measurement. Requires strong Python, data pipeline, and orchestration experience plus collaboration with applied scientists.
Field Engineer building and deploying data pipelines, integrations, and backend systems for government customers at customer sites. Requires active Secret clearance, Python, ETL, cloud technologies, and >50% onsite availability.
Business Intelligence Specialist responsible for designing data models, queries, analytics, and automated reporting for 529 and CSA savings plans. Requires 3+ years experience with SQL, BI tools, Jira/Agile, and specialized knowledge of 529/CSA plan mechanics and regulatory rules.
Predoctoral Young Investigator role on the AllenNLP team at Ai2, collaborating on open language models and NLP research. Ideal for recent bachelor's/master's graduates preparing for PhD programs, involving mentorship, cutting-edge research, and co-authoring papers.
Analyst responsible for analyzing and classifying certification applicants using OSINT, proprietary tools, and data review to assess compliance and risk. Requires strong analytical judgment, attention to detail, and communication skills in a fast-paced environment.
Senior Data Scientist building and improving production LLM agents, workflows, and internal AI applications for Rippling's GTM teams (Sales, RevOps, Customer Success). Combines applied AI development, full-stack engineering, data pipelines, ML experimentation, and evaluation infrastructure.
Mid-level Data Analyst owning end-to-end analytics for Greenlight's e-commerce devices business (hardware + subscriptions) across Shopify and Amazon. Define KPIs and measurement frameworks, analyze full-funnel performance (ads to purchase to subscriber conversion), build dbt models and Tableau dashboards, proactively drive marketing spend decisions. Requires 4-8 years e-commerce analytics experience, strong SQL/Python, and proactive ownership.
Senior Application Engineer building and deploying AI Agents with Salesforce Agentforce, intelligent automations, and custom Salesforce applications. Requires 5+ years experience, specific Salesforce certifications (Platform Developer I/II, Advanced Admin, Agentforce Specialist), strong coding and DevOps skills, and mentoring ability.
Data Operations Manager responsible for building and scaling data strategies, vendor partnerships, and high-quality data pipelines to advance frontier AI research in RLHF, safety, tool use, and agentic systems at Anthropic. Requires 3+ years operations/PM experience, strong project management, data analysis skills, and passion for AI safety.
Staff Data Scientist in Pinterest's CFO organization owning end-to-end forecasting tooling (data pipelines to UI), driving AI/LLM adoption for Finance & BizOps teams, delivering analytics, and advising executives on AI strategy. Requires 8+ years experience, strong forecasting, full-stack tool-building, and AI foresight skills.
Data Analyst in Revenue Operations responsible for building revenue reporting, predictive models in BigQuery ML, Tableau dashboards, and data quality processes to drive sales, go-to-market, and operational decisions. Requires 2-5 years analytical experience, strong SQL, and CRM familiarity.
Lead development of predictive ML models, causal inference frameworks, and AI agents to forecast patient outcomes, measure clinical impact, and drive value-based care performance for Pearl Health's platform.
Research Scientist advancing generative audio models (diffusion/flow matching) for music, focusing on vocal synthesis, post-training alignment (DPO/RLHF), or audio editing. Requires PhD, top publications, and PyTorch expertise to turn research into artist-first Spotify products.
Build and operate production ML infrastructure powering Claude's safety systems, including critical backend services on the token generation path, SLOs, observability, incident response, and platform-agnostic deployment tooling across 1P and 3P clouds. Requires deep distributed systems and on-call experience at scale; ML/transformer familiarity not required.
Research Engineer building autonomous AI agents that review GitHub PRs, catch bugs, learn coding standards, and improve signal-to-noise for 7,000+ customers. Requires CS degree, research experience with ML/LMs/agents, strong programming, and product intuition.
Early-career Software Engineer building and iterating on agentic LLM systems, RAG pipelines, evaluation frameworks, and backend/frontend components for AI-powered clinical documentation at Abridge. Requires CS degree or equivalent plus hands-on GenAI experience from projects, internships or coursework.
Lead a team of data scientists focused on marketing analytics for retention and acquisition. Oversee production ML models, causal inference projects, and LLM integration to drive marketing decisions and business outcomes. Requires 7+ years data science experience including 3+ years managing teams.
Build and maintain scalable cloud ML infrastructure and CI/CD pipelines to productionalize models for Data Science and AI teams at WHOOP. Requires 2+ years software engineering focused on ML infrastructure, Python/Java, cloud services, and ML lifecycle knowledge.
Lead AI evaluation for Figma's AI-powered products. Define quality metrics, build human + automated eval frameworks (rubrics, golden datasets, LLM-as-judge), manage a small team, and deliver decision-ready insights to Product, Design, and Engineering stakeholders.
Drive credit risk strategy for Stripe Capital by architecting policies, analyzing data (proprietary + third-party), monitoring portfolios, and collaborating with Product, Data Science, and Engineering teams to underwrite and scale lending products.
The Operations Data Analyst translates semi-structured engineering data into structured records in PLM/ERP systems, owns master data integrity, and supports material planning and allocation across programs. Requires 5+ years in data/configuration management or supply chain, advanced Excel, and cross-functional collaboration in a fast-paced technical environment.
Build and own ML models, fine-tuning, evaluation harnesses, and routing for Kepler's AI agent harness in finance. Requires 5+ years production software experience and shipped ML systems focused on correctness, evals, and real-world reliability.
Build and scale video generation models at Mirage. Optimize training/inference for low-latency, real-time performance using PyTorch, CUDA, and distributed systems. Requires 2+ years industry experience in deep learning infrastructure.
ML Engineer building and improving agentic systems powered by LLMs for multimodal video understanding, reasoning, and creative editing tasks at an AI-native video platform. Requires strong production ML experience with transformers, fine-tuning, and experimental rigor.
Build and ship end-to-end agentic systems and architectures for creative video workflows at an AI-native video platform. Requires 5+ years building production ML/agentic pipelines, deep RAG/context engineering experience, and strong evaluation skills.
Staff Machine Learning Engineer designing, training, and deploying advanced ML models (DNNs, transformers, RL) for Reddit's large-scale online advertising ranking, optimization, and marketplace systems. Requires Master's, 3+ years experience, technical leadership, and expertise in production ML systems.
Senior Software Engineer at Reddit building scalable distributed systems, integrating applied ML and Generative AI for real-time search, ad ranking, and data pipelines to drive advertiser revenue growth. Requires BS in CS/Engineering and 5+ years experience.
Build and scale Traba's applied AI platform for industrial supply chain staffing and operations. Architect core backend systems integrating frontier models and agents for automation, matching, and vetting while owning performance and infrastructure.
Build and lead Traba's agentic AI platform as a founding member of the Agents team. Architect orchestration, evals, model strategy, and integrations for autonomous agents in industrial supply chain workflows. Requires 7+ years engineering experience including production LLM/agent systems, with customer immersion and 0-to-1 build experience.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 5+ years software engineering with 1+ year shipping LLM/agent features, strong Python/TS, and high-agency customer immersion.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 1+ years shipping LLM/agent features to production, strong Python/TS skills, and high-agency in ambiguous customer environments.
Machine Learning Engineer owning the full ML lifecycle for multimodal video datasets at Sieve. Fine-tune VLMs, build evaluation/QA pipelines with frontier models, design filtering systems over internet-scale data, and ship production improvements for top AI labs. Requires strong Python, PyTorch, and production ML experience.
Early-career Quantitative Researcher developing ML models and trading signals to predict asset movements and build market-neutral portfolios. Requires STEM degree, Python fluency, and passion for machine learning; embedded in Alpha, Data Science, or Strategy teams.
Build and own evaluation systems, metrics, pipelines, and datasets to rigorously measure the quality of Firecrawl's LLM-ready web data outputs at massive scale, driving model and product improvements.
Lead Data Scientist owning development of core predictive AI/ML models on messy healthcare claims and clinical data to identify waste and improve behavioral health outcomes for payers. Requires 8+ years experience, leadership of data science teams, production model deployment, and strong Python/SQL/ML skills.
Manage end-to-end file-based data integrations, ingestion, transformation, and maintenance for eligibility, marketing, and reporting. Own data integrity, resolve issues, automate workflows with AI, and partner cross-functionally with Customer Success, Engineering, and Revenue Operations teams.
Build and operate realtime and batch data pipelines processing billions of events daily at xAI. Design distributed data platforms, own data correctness, create shared datasets for product and business teams, and partner on data acquisition using tools like Spark, Kafka, Flink, and SQL.
Build production ML systems for measuring, predicting, and scaling data quality for frontier AI models. Requires 3-6 years experience in applied ML or related production systems (ranking, recommendations, data quality, fraud) plus strong software engineering skills.
Build analytical and BI infrastructure for Scale's Public Sector unit. Develop scalable data pipelines, models, warehouses, and quality tests from ambiguous processes to enable decision-making; requires 5+ years experience, SQL mastery, Python/R, DBT, and active Secret clearance.
Data scientist partnering with Product, Engineering, and Design to shape mobile consumer creation roadmap at Suno. Design/run experiments, build analyses to identify magic moments driving creative engagement, establish success metrics, and contribute to data foundations. Requires 6-8+ years in consumer tech/mobile, advanced SQL/Python/stats, and end-to-end experimentation experience.
Lead a Data Science team building production ML, optimization, and AI systems (including agentic workflows) to solve complex operational problems in caregiver-client matching, scheduling, and risk identification for home care. 7+ years experience with 3+ years managing teams; player-coach role partnering with Product, Engineering, and Operations.
Lead the design and implementation of a unified semantic layer and data models from complex enterprise systems (SAP, Salesforce, Workday) to create AI-ready datasets that power intelligent agents, analytics, and decision-making. Requires 10+ years data engineering experience, semantic modeling expertise, and hands-on AI-generated code deployment.
Staff Software Engineer building and optimizing trusted agentic coding systems using generative AI, ML, and systems techniques. Requires 8+ years experience, fluency in multiple languages including Python/TS, deep concurrent programming knowledge, and API/documentation skills.
Build self-healing data ingestion pipelines and integration layers for enterprise systems (SAP, Salesforce, Workday) to deliver AI-ready data for autonomous agents and analytics. Requires 8+ years building production ETL/ELT pipelines with Python, SQL, and orchestration tools.
Develop synthetic sensor simulation models and algorithms using ML techniques like NeRF and Gaussian splatting to generate photorealistic images and realistic lidar/radar data for autonomous vehicles. Requires advanced degree plus 3-5+ years experience, strong ML fundamentals, and Python/deep learning expertise.
Senior engineer building and operating large-scale data acquisition pipelines and backend services for ingesting, transforming, and storing high-volume data using Java, Spark, Airflow, Kafka, and GCP tools. Requires 5+ years experience in data engineering and distributed systems plus a bachelor's degree.
Lead analytics for Total Rewards by building financial models, dashboards, and automated/AI tools to support compensation, benefits, and HR decisions. Requires 3+ years in data/analytics/modeling, advanced Excel, and visualization tools; HCM, Python/SQL, and Total Rewards experience are pluses.
Senior Data Scientist on Plaid's Network Value team supporting the Guard product. Translate product questions into analysis, build metrics/OKRs/dashboards, run experiments, and drive data-informed decisions for a 0-to-1 user-facing fintech product.
Staff Software Engineer leading design and development of large-scale batch and real-time data pipelines and ML infrastructure to power GenAI/LLM products and features for Airbnb's Messaging, Notifications, and Connectivity organization. Requires 9+ years experience building production ML systems and cross-functional collaboration.
Build, optimize, and scale Ray Data, a Python-native data processing engine for AI/ML workloads. Improve performance, ensure fault tolerance at high scale, and support production training and multi-modal batch inference for AI-native companies.
Build and maintain the Science Platform that runs geo-based experiments, statistical estimation, and daily analysis pipelines for causal marketing measurement. Requires strong Python, data pipeline, and orchestration experience plus collaboration with applied scientists.
Field Engineer building and deploying data pipelines, integrations, and backend systems for government customers at customer sites. Requires active Secret clearance, Python, ETL, cloud technologies, and >50% onsite availability.
Business Intelligence Specialist responsible for designing data models, queries, analytics, and automated reporting for 529 and CSA savings plans. Requires 3+ years experience with SQL, BI tools, Jira/Agile, and specialized knowledge of 529/CSA plan mechanics and regulatory rules.
Predoctoral Young Investigator role on the AllenNLP team at Ai2, collaborating on open language models and NLP research. Ideal for recent bachelor's/master's graduates preparing for PhD programs, involving mentorship, cutting-edge research, and co-authoring papers.
Analyst responsible for analyzing and classifying certification applicants using OSINT, proprietary tools, and data review to assess compliance and risk. Requires strong analytical judgment, attention to detail, and communication skills in a fast-paced environment.
Senior Data Scientist building and improving production LLM agents, workflows, and internal AI applications for Rippling's GTM teams (Sales, RevOps, Customer Success). Combines applied AI development, full-stack engineering, data pipelines, ML experimentation, and evaluation infrastructure.
Mid-level Data Analyst owning end-to-end analytics for Greenlight's e-commerce devices business (hardware + subscriptions) across Shopify and Amazon. Define KPIs and measurement frameworks, analyze full-funnel performance (ads to purchase to subscriber conversion), build dbt models and Tableau dashboards, proactively drive marketing spend decisions. Requires 4-8 years e-commerce analytics experience, strong SQL/Python, and proactive ownership.
Senior Application Engineer building and deploying AI Agents with Salesforce Agentforce, intelligent automations, and custom Salesforce applications. Requires 5+ years experience, specific Salesforce certifications (Platform Developer I/II, Advanced Admin, Agentforce Specialist), strong coding and DevOps skills, and mentoring ability.
Data Operations Manager responsible for building and scaling data strategies, vendor partnerships, and high-quality data pipelines to advance frontier AI research in RLHF, safety, tool use, and agentic systems at Anthropic. Requires 3+ years operations/PM experience, strong project management, data analysis skills, and passion for AI safety.
Staff Data Scientist in Pinterest's CFO organization owning end-to-end forecasting tooling (data pipelines to UI), driving AI/LLM adoption for Finance & BizOps teams, delivering analytics, and advising executives on AI strategy. Requires 8+ years experience, strong forecasting, full-stack tool-building, and AI foresight skills.
Data Analyst in Revenue Operations responsible for building revenue reporting, predictive models in BigQuery ML, Tableau dashboards, and data quality processes to drive sales, go-to-market, and operational decisions. Requires 2-5 years analytical experience, strong SQL, and CRM familiarity.
Lead development of predictive ML models, causal inference frameworks, and AI agents to forecast patient outcomes, measure clinical impact, and drive value-based care performance for Pearl Health's platform.
Research Scientist advancing generative audio models (diffusion/flow matching) for music, focusing on vocal synthesis, post-training alignment (DPO/RLHF), or audio editing. Requires PhD, top publications, and PyTorch expertise to turn research into artist-first Spotify products.
Build and operate production ML infrastructure powering Claude's safety systems, including critical backend services on the token generation path, SLOs, observability, incident response, and platform-agnostic deployment tooling across 1P and 3P clouds. Requires deep distributed systems and on-call experience at scale; ML/transformer familiarity not required.
Research Engineer building autonomous AI agents that review GitHub PRs, catch bugs, learn coding standards, and improve signal-to-noise for 7,000+ customers. Requires CS degree, research experience with ML/LMs/agents, strong programming, and product intuition.