Builds and scales ML systems for content understanding across audio, video, text, and images at Spotify. Develops models for classification, tagging, semantic analysis, and enrichment using LLMs, enabling automation, quality, and new product features.
Designs and scales enterprise MLOps platform focused on Generative AI and LLMs on AWS, owning architecture for pipelines, deployment, monitoring, governance, and cost optimization. Requires 6+ years ML engineering experience with SageMaker, RAG, and production LLM operationalization.
Leads design, build, and operation of core data infrastructure including event streaming, relational databases, and batch processing systems. Ensures scalability, reliability, and compliance while mentoring engineers and optimizing pipelines for analytics and ML.
Leads development of security-focused ML models for GenAI traffic at Reddit, owning the full ML lifecycle from data ETL to production deployment and monitoring. Requires 5+ years experience with PyTorch/TensorFlow, deep learning architectures, and MLOps for adversarial security risks.
Builds and scales data infrastructure for distributed training pipelines, multimodal data catalogs, and petabyte-scale processing systems. Collaborates with researchers using distributed systems like Spark, Ray, Kafka, and cloud data architectures. Requires backend proficiency in Python/Rust and bachelor's in CS/engineering.
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.
Conducts research on pre-training methodologies for large AI models, develops new architectures and data strategies, runs large-scale experiments, and publishes findings. Requires strong ML fundamentals, Python proficiency, and experience with deep learning frameworks.
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.
Conducts post-training research for AI models, designing data collection strategies, developing labeling pipelines, modeling human preferences, and iterating on evaluations to improve model alignment, reasoning, and helpfulness. Requires strong Python skills, ML framework proficiency, and experimental rigor.
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.
Leads technical strategy, architecture, and development of advanced ML models for ads identity modeling and measurement, ensuring scalability, privacy compliance, and integration across systems. Requires 7+ years software engineering with 3+ in ML at scale, expertise in ML frameworks and large-scale data processing.
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.
Builds and operates ML-powered features end-to-end, from problem discovery through deployment and monitoring. Requires 4+ years experience with full ML lifecycle, Python/SQL proficiency, frameworks like TensorFlow/PyTorch, and production ML model shipping.
Designs, builds, and productionizes ML systems for personalized health insights from physiological data in a regulated SaMD environment. Collaborates with scientists, data platforms, and health teams; requires 7+ years experience, Python expertise, and cloud deployment skills.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware and integrating pre-trained ML models.
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.
Senior/Staff Data Scientist building and deploying predictive ML models for consumer fintech products including credit decisioning, fraud detection, and churn prediction. Owns full model lifecycle from data exploration to production monitoring.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware components and integrating pre-trained ML models.
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.
Leads a 30-person media analytics team for Instacart Ads, owning strategy, measurement standards (MMM, attribution, causal inference), and insights driving advertiser investment. Requires 12+ years experience, advanced SQL/Python/R, bachelor's in quantitative field, and expertise influencing CPG stakeholders.
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.
Leads architectural evolution of data platform for FEDRamp compliance and builds secure data pipelines for analytics and security in federal environments. Requires 8+ years experience with cloud data infrastructure, Python/SQL, and modern data stack tools like Snowflake and dbt.
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.
Builds AI agents for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with PMs and customers to ship low-latency, high-quality agent systems using Python and LLM APIs. Requires 2-5 years experience.
Builds mission-critical training, data, and inference infrastructure for AI research on large world models. Optimizes performance, debugs distributed systems, and improves researcher velocity with 5+ years experience in ML systems and strong Python proficiency.
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.
Builds and maintains dashboards and reports using SQL, dbt, and tools like OMNI/Snowflake to deliver insights from CRM, product, and financial data to GTM, finance, and customer success teams. Requires 3+ years in BI/analytics, proficiency in SQL/dbt, and cloud data warehouses.
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.
Leads a team of analysts and analytic engineers to evolve data infrastructure, govern Snowflake, model in dbt, and deliver actionable insights across Finance, GTM, Product, and CS. Partners with stakeholders to establish data standards and drive business decisions with advanced analytics.
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.
Senior researcher studies how training choices shape aligned behavior in frontier models, developing synthetic data, evaluation loops, and experiments to ensure durable, robust tendencies like honest reasoning and instruction-following.
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.
Technical Lead owns strategy, roadmap, and execution for ML platform components, leading a small engineering team while contributing hands-on to scalable infrastructure. Requires 7+ years experience in ML infra, AWS, Python/Java, and prior leadership.
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.
Senior Data Scientist architects metrics and measurement systems for user success, owns data standards and experimentation frameworks, and delivers insights to influence product roadmap and GTM strategy. Requires 5+ years experience, advanced SQL/Python, dbt, and orchestration tools.
Optimizes LLM inference stack for speed, cost, and reliability using serving frameworks, quantization, and GPU tuning. Builds fine-tuning pipelines to accelerate AI team model development for production serving of millions of meetings.
Builds and scales data infrastructure including ingestion pipelines, orchestration with Dagster, and optimization on AWS and Snowflake. Requires 5+ years experience with data pipelines, Python, and cross-functional collaboration in a high-growth AI music platform.
Develops and trains large-scale diffusion models for generating 3D worlds, incorporating novel control signals and integrating cutting-edge generative AI research into production. Requires 3+ years in generative modeling, PyTorch/TensorFlow expertise, and strong publication record.
Builds and scales ML systems for content understanding across audio, video, text, and images at Spotify. Develops models for classification, tagging, semantic analysis, and enrichment using LLMs, enabling automation, quality, and new product features.
Designs and scales enterprise MLOps platform focused on Generative AI and LLMs on AWS, owning architecture for pipelines, deployment, monitoring, governance, and cost optimization. Requires 6+ years ML engineering experience with SageMaker, RAG, and production LLM operationalization.
Leads design, build, and operation of core data infrastructure including event streaming, relational databases, and batch processing systems. Ensures scalability, reliability, and compliance while mentoring engineers and optimizing pipelines for analytics and ML.
Leads development of security-focused ML models for GenAI traffic at Reddit, owning the full ML lifecycle from data ETL to production deployment and monitoring. Requires 5+ years experience with PyTorch/TensorFlow, deep learning architectures, and MLOps for adversarial security risks.
Builds and scales data infrastructure for distributed training pipelines, multimodal data catalogs, and petabyte-scale processing systems. Collaborates with researchers using distributed systems like Spark, Ray, Kafka, and cloud data architectures. Requires backend proficiency in Python/Rust and bachelor's in CS/engineering.
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.
Conducts research on pre-training methodologies for large AI models, develops new architectures and data strategies, runs large-scale experiments, and publishes findings. Requires strong ML fundamentals, Python proficiency, and experience with deep learning frameworks.
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.
Conducts post-training research for AI models, designing data collection strategies, developing labeling pipelines, modeling human preferences, and iterating on evaluations to improve model alignment, reasoning, and helpfulness. Requires strong Python skills, ML framework proficiency, and experimental rigor.
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.
Leads technical strategy, architecture, and development of advanced ML models for ads identity modeling and measurement, ensuring scalability, privacy compliance, and integration across systems. Requires 7+ years software engineering with 3+ in ML at scale, expertise in ML frameworks and large-scale data processing.
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.
Builds and operates ML-powered features end-to-end, from problem discovery through deployment and monitoring. Requires 4+ years experience with full ML lifecycle, Python/SQL proficiency, frameworks like TensorFlow/PyTorch, and production ML model shipping.
Designs, builds, and productionizes ML systems for personalized health insights from physiological data in a regulated SaMD environment. Collaborates with scientists, data platforms, and health teams; requires 7+ years experience, Python expertise, and cloud deployment skills.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware and integrating pre-trained ML models.
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.
Senior/Staff Data Scientist building and deploying predictive ML models for consumer fintech products including credit decisioning, fraud detection, and churn prediction. Owns full model lifecycle from data exploration to production monitoring.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware components and integrating pre-trained ML models.
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.
Leads a 30-person media analytics team for Instacart Ads, owning strategy, measurement standards (MMM, attribution, causal inference), and insights driving advertiser investment. Requires 12+ years experience, advanced SQL/Python/R, bachelor's in quantitative field, and expertise influencing CPG stakeholders.
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.
Leads architectural evolution of data platform for FEDRamp compliance and builds secure data pipelines for analytics and security in federal environments. Requires 8+ years experience with cloud data infrastructure, Python/SQL, and modern data stack tools like Snowflake and dbt.
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.
Builds AI agents for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with PMs and customers to ship low-latency, high-quality agent systems using Python and LLM APIs. Requires 2-5 years experience.
Builds mission-critical training, data, and inference infrastructure for AI research on large world models. Optimizes performance, debugs distributed systems, and improves researcher velocity with 5+ years experience in ML systems and strong Python proficiency.
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.
Builds and maintains dashboards and reports using SQL, dbt, and tools like OMNI/Snowflake to deliver insights from CRM, product, and financial data to GTM, finance, and customer success teams. Requires 3+ years in BI/analytics, proficiency in SQL/dbt, and cloud data warehouses.
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.
Leads a team of analysts and analytic engineers to evolve data infrastructure, govern Snowflake, model in dbt, and deliver actionable insights across Finance, GTM, Product, and CS. Partners with stakeholders to establish data standards and drive business decisions with advanced analytics.
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.
Senior researcher studies how training choices shape aligned behavior in frontier models, developing synthetic data, evaluation loops, and experiments to ensure durable, robust tendencies like honest reasoning and instruction-following.
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.
Technical Lead owns strategy, roadmap, and execution for ML platform components, leading a small engineering team while contributing hands-on to scalable infrastructure. Requires 7+ years experience in ML infra, AWS, Python/Java, and prior leadership.
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.
Senior Data Scientist architects metrics and measurement systems for user success, owns data standards and experimentation frameworks, and delivers insights to influence product roadmap and GTM strategy. Requires 5+ years experience, advanced SQL/Python, dbt, and orchestration tools.
Optimizes LLM inference stack for speed, cost, and reliability using serving frameworks, quantization, and GPU tuning. Builds fine-tuning pipelines to accelerate AI team model development for production serving of millions of meetings.
Builds and scales data infrastructure including ingestion pipelines, orchestration with Dagster, and optimization on AWS and Snowflake. Requires 5+ years experience with data pipelines, Python, and cross-functional collaboration in a high-growth AI music platform.
Develops and trains large-scale diffusion models for generating 3D worlds, incorporating novel control signals and integrating cutting-edge generative AI research into production. Requires 3+ years in generative modeling, PyTorch/TensorFlow expertise, and strong publication record.