Forward Deployed Engineer embeds with customer teams to build and own production-grade AI-powered coding workflows using Cursor, from discovery to iteration and integration back into the core product. Requires strong Python/TS skills, end-to-end ownership, and production reliability experience.
Conduct research and build foundational ML models for structured and tabular data, combining statistical learning theory, probabilistic modeling, and large-scale systems. Requires a PhD and strong experience in tabular/relational ML.
Senior Data Scientist drives impact via statistical modeling, ML/NLP deployment, experiment design for search, AI, and revenue. Requires 7+ years experience, production Python/SQL, handling sparse privacy-constrained data.
Build and maintain fraud detection models and financial risk products through full ML lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), PhD preferred, strong end-to-end DS/ML skills, and domain interest in fraud/identity.
Build and maintain fraud detection models and financial risk products through full data science lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), advanced ML/stats skills, and PhD preferred.
Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.
Build and deploy ML models for fraud detection and financial risk at SentiLink. New grad role for PhD/early-career researchers handling full ML lifecycle with Python, AWS; requires strong ML/stats foundation and production coding skills.
Staff Data Scientist partners with product teams to analyze user behavior, run experiments, build dashboards, and implement AI solutions for contract management optimization. Requires 8+ years in product analytics, advanced SQL/Python proficiency.
Deployed Engineer co-architects and builds production AI agents with customers, owns technical wins in pre-sales, and advises on deployment and operations. Requires 3+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.
Designs and operates medallion data warehouse (bronze/silver/gold) for product, usage, and billing data. Builds Airflow pipelines, dbt transformations, and analytics models using SQL, Python, and Spark while leading data governance and quality.
Senior Data Scientist builds forecasting models, performs root cause analysis, analyzes cloud infrastructure usage, and champions data quality to support AI infrastructure operations and strategic decisions. Requires strong SQL/Python skills, analytical methods, and data visualization proficiency.
Develops RLHF and post-training methods for personalized, multimodal AI systems on consumer devices, focusing on reward modeling, preference learning, long-horizon evaluation, and alignment with user values. Requires strong ML research background in RLHF and related areas.
Leads technical strategy for product experience, building predictive models for matching optimization, growth flywheels, and marketplace health. Partners with PMs on experimentation, causal inference, and data platform design using SQL/Python expertise. Requires 8+ years in data science.
Builds macroeconomic models and scenario-based forecasting tools for transformative AI impacts on growth, labor markets, and income distribution. Requires PhD in Economics, expertise in macro modeling, computational methods, and grounding in real-world AI usage data.
Build scalable data infrastructure and analytics pipelines to drive business growth, user personalization, and strategic decisions in sleep fitness technology. Requires 6+ years experience with SQL, Python, DBT, Snowflake, and data architecture expertise.
Leads growth data science by building advanced demand forecasting, marketing spend optimization, experimentation frameworks, and attribution models to drive business growth and operational efficiency. Requires 5+ years experience in forecasting, experimentation, Python/R/SQL expertise.
Builds and maintains data pipelines and privacy-preserving infrastructure for AI economic impact research. Collaborates with researchers and economists using Python, cloud platforms, and LLMs to support scalable economic analysis.
Builds infrastructure and tools for Ramp's Analytics and Machine Learning Platforms, supporting data science lifecycle. Partners with AI and ML engineers; requires Python, workflow orchestrators, cloud platforms, and SQL expertise.
Leads analytics strategy, builds data pipelines and dashboards, owns metrics and data quality for business decisions. Requires 5+ years BI experience, expert SQL, data warehouse and BI tool proficiency.
Part-time AI Trainer annotates mortgage conversation data, provides feedback on AI responses, and tests system quality for mortgage servicing calls. Requires 5+ years mortgage customer service experience and industry knowledge.
Measures AI's economic impacts through the Anthropic Economic Index using econometrics, ML, and novel data. Conducts empirical research on labor markets, productivity, inequality; requires PhD in Economics and strong empirical track record.
Leads technical direction for bio AI research programs, architects AI/computational infrastructure, prototypes modeling systems, and builds high-caliber engineering team. Requires deep ML expertise in generative models, large-scale training, and bio applications with hands-on leadership.
Leads development of standards and validation frameworks for dynamic structural biology data, focusing on ensemble models from X-ray crystallography and cryo-EM. Collaborates with engineers to build deposition, search, and retrieval infrastructure for the diffUSE Project. Requires PhD in structural biology or related field.
Lead personalization and classification algorithm productionization, building ML model-serving infrastructure and translating experimental outputs into scalable production systems. Requires 5+ years experience, backend/infrastructure specialization, and proficiency in AWS, Java, Python, and TypeScript.
Principal Data Scientist serves as the statistical authority, translating complex data science insights into actionable narratives for C-suite and Board. Drives data-driven decisions through strategic analyses, methodology standards, and cross-functional influence. Requires PhD and 15+ years experience.
Forward Deployed Engineer deploys AI agents for financial services customers, handles onsite integrations in regulated environments, builds connectors and frameworks, and translates customer needs into product insights. Requires 2+ years software engineering with Python, APIs, data pipelines, cloud, and AI experience.
Designs and implements mitigation stacks to prevent loss of control risks in frontier AI models, including prevention, monitoring, detection, and enforcement. Requires expertise in deep learning, transformers, PyTorch/TensorFlow, and AI safety research.
Data Science Analyst automates data-driven tasks, performs ad-hoc analysis using Python, PySpark, SQL to forecast trends and optimize marketing performance. Requires bachelor's degree and 1-2 years experience in data manipulation.
Senior forward-deployed engineer builds and deploys AI-powered workflows using LLMs and ML frameworks for client operational problems. Requires 7+ years experience in Python, data/ML systems, deployment infrastructure, and client-facing skills; hybrid in NYC area.
Senior Applied Researcher develops AI/ML solutions for healthcare challenges, applying GenAI, LLMs, and techniques like RAG to build production-ready models in SaaS environments. Requires Master's in relevant field, healthcare data experience, Python proficiency, and ML frameworks expertise.
Curates, builds, and scales AI-powered drug discovery tools including structure prediction, protein design, and docking models. Collaborates with customers to troubleshoot and optimize biological AI workflows using Python, PyTorch, and cloud infrastructure.
Develop and integrate Grok AI models into the Ads Platform to power bidding, auction, ranking, prediction, and optimization systems at massive scale. Requires 3+ years experience with large-scale AI-powered advertising products.
Develop and scale recommendation algorithms, ranking, and search systems using AI stacks and data infrastructure for a platform with 600M users. Requires expertise in recommender systems, deep learning frameworks like JAX/PyTorch, and tools like Kafka/Spark.
Develops multimodal mid-training data pipelines for omni models handling text, image, video, and audio. Requires ML expertise, scaling laws knowledge, experiment design, and strong engineering in large-scale data frameworks like Spark and Ray.
Builds and operates petabyte-scale data platform infrastructure using Kafka, Spark, Flink, and Trino to power real-time ML pipelines and analytics. Requires expertise in distributed systems, stream processing, and systems languages like Rust, Go, or Scala.
Leads ML team building scalable systems for personalization, ranking, search, and ads. Owns end-to-end architecture from training to serving at consumer scale, requiring 8+ years ML experience and strong systems design skills.
Senior Forward-Deployed Engineer embeds with federal customers to deploy Voice AI solutions, owning full technical lifecycle from PoC to production. Requires 5+ years experience, TS/SCI clearance, full-stack skills in Python/JS/Rust, and federal deployment expertise.
Builds ML-based systems integrated into Radar's geofencing, maps, and fraud products across backend, data infra, and mobile SDKs. Drives end-to-end features leveraging ML for production-scale impact, collaborates with customers.
Leads strategy and execution for measuring AI model capabilities across training and deployment, developing novel long-horizon evaluations and leading a team of researchers. Requires experience in LLM evaluations, technical leadership, and cross-team collaboration in fast-paced AI research environments.
Senior ML Engineer owns ML-driven product features end-to-end, from ideation to deployment and impact measurement. Partners cross-functionally to build scalable ML systems, drive Generative AI innovation, and mentor juniors. Requires 5+ years ML experience and strong AI engineering skills.
Develops and deploys scalable generative AI/ML models for entertainment data products, owning end-to-end lifecycle from data sourcing to production monitoring. Requires 5+ years experience, MS/PhD, deep LLM expertise, Python/PyTorch proficiency, and AWS deployment skills.
Research Engineer advancing video/image generation models for AI characters, leading fine-tuning, novel architectures, data pipelines, and optimizations using PyTorch and multimodal techniques. Requires expertise in generation models and distributed training.
Builds and scales reliable data pipelines and infrastructure using AWS and tools like Spark, Kafka, and dbt. Collaborates with teams to deliver data solutions, mentors engineers, and drives data architecture strategy. Requires 6+ years experience.
Develops and maintains scalable AI infrastructure to support machine learning models and data pipelines. Requires expertise in cloud platforms, containerization, and ML frameworks.
Conducts advanced research in AI, machine learning, or related fields, developing novel algorithms and publishing results. Requires PhD and strong publication record.
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.
Leads architecture and development of agentic AI systems for personalized brain health therapies, including conversational therapy and education platforms. Requires 8+ years software engineering with 2+ years AI/ML focus, Python/TypeScript expertise, and distributed systems experience.
Build and scale data ingestion infrastructure and EHR integrations to power healthcare products, ensuring reliability for thousands of patients. Requires 5+ years in production systems, 3+ in data platforms, and expertise in Python, AWS, SQL, and big data tools like Spark and Kafka.
Develops and optimizes AI inference engine for image/video enhancement, focusing on performance, GPU/CPU optimization, model deployment, and hardware partnerships. Requires C/C++ expertise, 1+ years experience in performance optimization and image processing.
Lead merchant analytics initiatives by scoping data analyses, interfacing with partners, and driving insights that improve product strategy and marketplace optimization. Requires 5+ years in data analytics or quantitative consulting with strong SQL skills.
Forward Deployed Engineer embeds with customer teams to build and own production-grade AI-powered coding workflows using Cursor, from discovery to iteration and integration back into the core product. Requires strong Python/TS skills, end-to-end ownership, and production reliability experience.
Conduct research and build foundational ML models for structured and tabular data, combining statistical learning theory, probabilistic modeling, and large-scale systems. Requires a PhD and strong experience in tabular/relational ML.
Senior Data Scientist drives impact via statistical modeling, ML/NLP deployment, experiment design for search, AI, and revenue. Requires 7+ years experience, production Python/SQL, handling sparse privacy-constrained data.
Build and maintain fraud detection models and financial risk products through full ML lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), PhD preferred, strong end-to-end DS/ML skills, and domain interest in fraud/identity.
Build and maintain fraud detection models and financial risk products through full data science lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), advanced ML/stats skills, and PhD preferred.
Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.
Build and deploy ML models for fraud detection and financial risk at SentiLink. New grad role for PhD/early-career researchers handling full ML lifecycle with Python, AWS; requires strong ML/stats foundation and production coding skills.
Staff Data Scientist partners with product teams to analyze user behavior, run experiments, build dashboards, and implement AI solutions for contract management optimization. Requires 8+ years in product analytics, advanced SQL/Python proficiency.
Deployed Engineer co-architects and builds production AI agents with customers, owns technical wins in pre-sales, and advises on deployment and operations. Requires 3+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.
Designs and operates medallion data warehouse (bronze/silver/gold) for product, usage, and billing data. Builds Airflow pipelines, dbt transformations, and analytics models using SQL, Python, and Spark while leading data governance and quality.
Senior Data Scientist builds forecasting models, performs root cause analysis, analyzes cloud infrastructure usage, and champions data quality to support AI infrastructure operations and strategic decisions. Requires strong SQL/Python skills, analytical methods, and data visualization proficiency.
Develops RLHF and post-training methods for personalized, multimodal AI systems on consumer devices, focusing on reward modeling, preference learning, long-horizon evaluation, and alignment with user values. Requires strong ML research background in RLHF and related areas.
Leads technical strategy for product experience, building predictive models for matching optimization, growth flywheels, and marketplace health. Partners with PMs on experimentation, causal inference, and data platform design using SQL/Python expertise. Requires 8+ years in data science.
Builds macroeconomic models and scenario-based forecasting tools for transformative AI impacts on growth, labor markets, and income distribution. Requires PhD in Economics, expertise in macro modeling, computational methods, and grounding in real-world AI usage data.
Build scalable data infrastructure and analytics pipelines to drive business growth, user personalization, and strategic decisions in sleep fitness technology. Requires 6+ years experience with SQL, Python, DBT, Snowflake, and data architecture expertise.
Leads growth data science by building advanced demand forecasting, marketing spend optimization, experimentation frameworks, and attribution models to drive business growth and operational efficiency. Requires 5+ years experience in forecasting, experimentation, Python/R/SQL expertise.
Builds and maintains data pipelines and privacy-preserving infrastructure for AI economic impact research. Collaborates with researchers and economists using Python, cloud platforms, and LLMs to support scalable economic analysis.
Builds infrastructure and tools for Ramp's Analytics and Machine Learning Platforms, supporting data science lifecycle. Partners with AI and ML engineers; requires Python, workflow orchestrators, cloud platforms, and SQL expertise.
Leads analytics strategy, builds data pipelines and dashboards, owns metrics and data quality for business decisions. Requires 5+ years BI experience, expert SQL, data warehouse and BI tool proficiency.
Part-time AI Trainer annotates mortgage conversation data, provides feedback on AI responses, and tests system quality for mortgage servicing calls. Requires 5+ years mortgage customer service experience and industry knowledge.
Measures AI's economic impacts through the Anthropic Economic Index using econometrics, ML, and novel data. Conducts empirical research on labor markets, productivity, inequality; requires PhD in Economics and strong empirical track record.
Leads technical direction for bio AI research programs, architects AI/computational infrastructure, prototypes modeling systems, and builds high-caliber engineering team. Requires deep ML expertise in generative models, large-scale training, and bio applications with hands-on leadership.
Leads development of standards and validation frameworks for dynamic structural biology data, focusing on ensemble models from X-ray crystallography and cryo-EM. Collaborates with engineers to build deposition, search, and retrieval infrastructure for the diffUSE Project. Requires PhD in structural biology or related field.
Lead personalization and classification algorithm productionization, building ML model-serving infrastructure and translating experimental outputs into scalable production systems. Requires 5+ years experience, backend/infrastructure specialization, and proficiency in AWS, Java, Python, and TypeScript.
Principal Data Scientist serves as the statistical authority, translating complex data science insights into actionable narratives for C-suite and Board. Drives data-driven decisions through strategic analyses, methodology standards, and cross-functional influence. Requires PhD and 15+ years experience.
Forward Deployed Engineer deploys AI agents for financial services customers, handles onsite integrations in regulated environments, builds connectors and frameworks, and translates customer needs into product insights. Requires 2+ years software engineering with Python, APIs, data pipelines, cloud, and AI experience.
Designs and implements mitigation stacks to prevent loss of control risks in frontier AI models, including prevention, monitoring, detection, and enforcement. Requires expertise in deep learning, transformers, PyTorch/TensorFlow, and AI safety research.
Data Science Analyst automates data-driven tasks, performs ad-hoc analysis using Python, PySpark, SQL to forecast trends and optimize marketing performance. Requires bachelor's degree and 1-2 years experience in data manipulation.
Senior forward-deployed engineer builds and deploys AI-powered workflows using LLMs and ML frameworks for client operational problems. Requires 7+ years experience in Python, data/ML systems, deployment infrastructure, and client-facing skills; hybrid in NYC area.
Senior Applied Researcher develops AI/ML solutions for healthcare challenges, applying GenAI, LLMs, and techniques like RAG to build production-ready models in SaaS environments. Requires Master's in relevant field, healthcare data experience, Python proficiency, and ML frameworks expertise.
Curates, builds, and scales AI-powered drug discovery tools including structure prediction, protein design, and docking models. Collaborates with customers to troubleshoot and optimize biological AI workflows using Python, PyTorch, and cloud infrastructure.
Develop and integrate Grok AI models into the Ads Platform to power bidding, auction, ranking, prediction, and optimization systems at massive scale. Requires 3+ years experience with large-scale AI-powered advertising products.
Develop and scale recommendation algorithms, ranking, and search systems using AI stacks and data infrastructure for a platform with 600M users. Requires expertise in recommender systems, deep learning frameworks like JAX/PyTorch, and tools like Kafka/Spark.
Develops multimodal mid-training data pipelines for omni models handling text, image, video, and audio. Requires ML expertise, scaling laws knowledge, experiment design, and strong engineering in large-scale data frameworks like Spark and Ray.
Builds and operates petabyte-scale data platform infrastructure using Kafka, Spark, Flink, and Trino to power real-time ML pipelines and analytics. Requires expertise in distributed systems, stream processing, and systems languages like Rust, Go, or Scala.
Leads ML team building scalable systems for personalization, ranking, search, and ads. Owns end-to-end architecture from training to serving at consumer scale, requiring 8+ years ML experience and strong systems design skills.
Senior Forward-Deployed Engineer embeds with federal customers to deploy Voice AI solutions, owning full technical lifecycle from PoC to production. Requires 5+ years experience, TS/SCI clearance, full-stack skills in Python/JS/Rust, and federal deployment expertise.
Builds ML-based systems integrated into Radar's geofencing, maps, and fraud products across backend, data infra, and mobile SDKs. Drives end-to-end features leveraging ML for production-scale impact, collaborates with customers.
Leads strategy and execution for measuring AI model capabilities across training and deployment, developing novel long-horizon evaluations and leading a team of researchers. Requires experience in LLM evaluations, technical leadership, and cross-team collaboration in fast-paced AI research environments.
Senior ML Engineer owns ML-driven product features end-to-end, from ideation to deployment and impact measurement. Partners cross-functionally to build scalable ML systems, drive Generative AI innovation, and mentor juniors. Requires 5+ years ML experience and strong AI engineering skills.
Develops and deploys scalable generative AI/ML models for entertainment data products, owning end-to-end lifecycle from data sourcing to production monitoring. Requires 5+ years experience, MS/PhD, deep LLM expertise, Python/PyTorch proficiency, and AWS deployment skills.
Research Engineer advancing video/image generation models for AI characters, leading fine-tuning, novel architectures, data pipelines, and optimizations using PyTorch and multimodal techniques. Requires expertise in generation models and distributed training.
Builds and scales reliable data pipelines and infrastructure using AWS and tools like Spark, Kafka, and dbt. Collaborates with teams to deliver data solutions, mentors engineers, and drives data architecture strategy. Requires 6+ years experience.
Develops and maintains scalable AI infrastructure to support machine learning models and data pipelines. Requires expertise in cloud platforms, containerization, and ML frameworks.
Conducts advanced research in AI, machine learning, or related fields, developing novel algorithms and publishing results. Requires PhD and strong publication record.
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.
Leads architecture and development of agentic AI systems for personalized brain health therapies, including conversational therapy and education platforms. Requires 8+ years software engineering with 2+ years AI/ML focus, Python/TypeScript expertise, and distributed systems experience.
Build and scale data ingestion infrastructure and EHR integrations to power healthcare products, ensuring reliability for thousands of patients. Requires 5+ years in production systems, 3+ in data platforms, and expertise in Python, AWS, SQL, and big data tools like Spark and Kafka.
Develops and optimizes AI inference engine for image/video enhancement, focusing on performance, GPU/CPU optimization, model deployment, and hardware partnerships. Requires C/C++ expertise, 1+ years experience in performance optimization and image processing.
Lead merchant analytics initiatives by scoping data analyses, interfacing with partners, and driving insights that improve product strategy and marketplace optimization. Requires 5+ years in data analytics or quantitative consulting with strong SQL skills.