Optimize inference for real-time multimodal AI avatars. Specialize in LLM and diffusion model serving, KV cache strategies, quantization, and low-latency frameworks like vLLM and TensorRT-LLM.
Build and operate large-scale multimodal data pipelines for AI avatar model training. Design production-grade systems for petabyte-scale video, audio, and text data.
Data Scientist focused on operationalizing, optimizing, and scaling production data science models and pipelines. Requires 3+ years production experience, strong Python skills, and expertise in AWS, data pipelines, and data warehouses.
Own RL and post-training infrastructure for omni foundation models. Build and scale rollout, reward, and policy systems from 0→1 for real-time audiovisual AI.
Research Engineer training and scaling flagship open multimodal and agentic models (Olmo, Molmo). Owns end-to-end ML infrastructure, model development, and open-source releases.
First dedicated AI engineer building and shipping LLM-powered features into a healthcare EHR platform. Own end-to-end delivery of production AI capabilities, establish evaluation and observability practices, and enable other product teams to adopt AI patterns.
Staff-level engineer leading design and development of Pinterest’s exabyte-scale data lake storage platform using Iceberg and related big data technologies to support ML/AI workloads.
Build and own scalable data platform services end-to-end on AWS. Requires 5+ years experience, strong Java/Python skills, and cloud infrastructure experience with Terraform.
Build agentic capabilities on a petabyte-scale observability platform. Own the full agent stack including context engineering, tool design, evals, and production reliability for incident investigation.
Build and maintain canonical safety datasets and self-serve dashboards that enable Engineering, Research, and Data Science teams to independently analyze safety metrics and inform product decisions.
Staff Applied Scientist defining evaluation strategy and quality metrics for Datadog's AI-native Dashboards product. Owns ML/GenAI evaluation systems, builds datasets and harnesses, and drives improvements in retrieval, tool selection, and agent performance.
Owns the full insights function for top advisors, building reporting infrastructure, dashboards, and analytical frameworks to drive coaching, business reviews, and growth strategy. Partners with Business Strategy and Operations teams using data and AI to enable effective advisor coaching.
Lead end-to-end data validation for investment portfolios, building scalable analytics in Databricks and writing Python logic to detect anomalies. Requires 2+ years in tech/finance/consulting and hands-on experience with complex investment datasets.
Build and optimize AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists to implement scalable AI solutions on cloud infrastructure.
Research Engineer/Scientist building vision-language pipelines and data systems for robot learning. Focus on turning egocentric/teleoperation video into high-signal training data for VLAs and world models.
Data Analyst on the Urban Solutions team analyzing micromobility operations to improve bike and scooter share performance across US markets. Partners with Product, Engineering, Operations and Finance to forecast needs, diagnose issues, and drive data-informed decisions.
Build and maintain quantitative models for insurance pricing, underwriting, forecasting, and investment portfolio management. Requires strong quantitative background and experience with statistical modeling and ML techniques.
Own and scale the distributed training infrastructure for large-scale omni model pretraining across GPU clusters, covering job orchestration, parallelism, GPU communication, data loading, and performance optimization.
Own end-to-end data platform strategy and lead the data engineering team. Build scalable multi-tenant infrastructure, AI-on-data capabilities, and productized integrations for sports analytics clients.
Senior backend/infrastructure engineer expanding Sentry's time-series data platform (Snuba/ClickHouse) to handle petabyte-scale events with sub-second latency. Requires 4+ years experience and distributed storage expertise.
Partner with Marketing to analyze data, build narratives, and create content across blogs, reports, and landing pages. Requires 2+ years as a Data Analyst with strong SQL/Python skills and customer-facing experience.
Senior Data Analyst driving customer analytics for a Connected TV advertising platform. Builds scalable data models, dashboards, and statistical analyses to improve customer outcomes and business decision-making.
Staff Applied ML Engineer building and operating production ML decision systems to detect and prevent payment fraud, scams, identity abuse, and marketplace risk across Block.
Build and operate production ML systems for ranking, recommendations, search, and customer intelligence signals used across product, growth, risk, and decisioning teams. Requires 12+ years of production ML experience and deep expertise in intelligent systems.
Lead analytics for Retail, Restaurant, and Agency partnerships at Fetch. Own analytic processes, manage client engagements, and deliver SQL-driven insights to drive partner performance and strategic alignment.
Build data pipelines, models, dashboards, and analyses to support product and business decision-making. Requires 2+ years of Python/SQL experience with data modeling, ETL tools, and AWS.
Build and deploy production ML models and pipelines to detect suspicious activity, improve verification accuracy, and support threat intelligence workflows.
Senior engineer building data pipelines and tooling to curate large-scale autonomy datasets from drone logs and media for ML model training. Requires 5+ years experience, strong Python/C++ skills, and production data pipeline expertise.
Design, build and maintain business-critical data systems and ETL pipelines connecting production data to business tools. Build ML models and drive data insights across sales, marketing, product, and finance teams.
Transforms raw product and vendor data into a single source of truth, using SQL and BI tools to drive sourcing optimization, cost savings, and vendor rationalization.
Own payments excellence by investigating signals like NSF rates and reconciliation gaps, conducting root-cause analysis, and producing prioritized recommendations that drive revenue and efficiency. Requires 3+ years in payment analysis or fintech operations.
Architect and build multi-task, multi-objective ranking systems that unify search, recommendations, ads, and merchandising. Design long-horizon value models, causal inference systems, and low-latency inference layers while mentoring ML engineers.
Part-time student worker building and validating a driving risk assessment system and experimental RAG pipeline for autonomous vehicle behavior testing. Requires Python, ML/stats, and data skills; 40 hrs/week onsite hybrid commitment.
Senior AI Engineer building and scaling production GenAI systems for CreditAI, including multi-agent workflows, RAG pipelines, LLM fine-tuning, and AWS deployments. Requires 5+ years of AI/ML experience and deep Python expertise.
As a Staff Engineer for Search, you will build and scale Databricks' next-generation Search product, driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack. You will also define the long-term vision, mentor senior engineers, and lead strategic efforts.
As a Research Engineer, you will conduct and enable cutting-edge research, translating it into the core product pipeline. You will develop and improve state-of-the-art data curation strategies, accelerating research and ensuring product innovation.
As a Senior ML/AI Modeler, you will automate Risk and Compliance investigations at Block using agentic and generative AI. You will experiment with and deploy AI copilot and autopilot systems, owning the end-to-end system from API calls to productionization and monitoring.
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.
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.
Discord is seeking a Staff Data Engineer to lead technical vision and strategy for ads data infrastructure. This role involves building and maintaining sophisticated data pipelines, datasets, and analytical tools, and mentoring other engineers.
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 Senior Research Scientist on the Video team, you will drive research initiatives and translate advanced computer vision and deepfake detection models into scalable enterprise solutions. You will focus on audio-visual deepfake detection, synthetic media identification, and real-time video processing.
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 Staff ML Platform Engineer, you will drive the technical vision and execution of Grow Therapy's Machine Learning Platform, designing and building large-scale, real-time ML systems to power core product experiences like patient-provider matching.
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.
Optimize inference for real-time multimodal AI avatars. Specialize in LLM and diffusion model serving, KV cache strategies, quantization, and low-latency frameworks like vLLM and TensorRT-LLM.
Build and operate large-scale multimodal data pipelines for AI avatar model training. Design production-grade systems for petabyte-scale video, audio, and text data.
Data Scientist focused on operationalizing, optimizing, and scaling production data science models and pipelines. Requires 3+ years production experience, strong Python skills, and expertise in AWS, data pipelines, and data warehouses.
Own RL and post-training infrastructure for omni foundation models. Build and scale rollout, reward, and policy systems from 0→1 for real-time audiovisual AI.
Research Engineer training and scaling flagship open multimodal and agentic models (Olmo, Molmo). Owns end-to-end ML infrastructure, model development, and open-source releases.
First dedicated AI engineer building and shipping LLM-powered features into a healthcare EHR platform. Own end-to-end delivery of production AI capabilities, establish evaluation and observability practices, and enable other product teams to adopt AI patterns.
Staff-level engineer leading design and development of Pinterest’s exabyte-scale data lake storage platform using Iceberg and related big data technologies to support ML/AI workloads.
Build and own scalable data platform services end-to-end on AWS. Requires 5+ years experience, strong Java/Python skills, and cloud infrastructure experience with Terraform.
Build agentic capabilities on a petabyte-scale observability platform. Own the full agent stack including context engineering, tool design, evals, and production reliability for incident investigation.
Build and maintain canonical safety datasets and self-serve dashboards that enable Engineering, Research, and Data Science teams to independently analyze safety metrics and inform product decisions.
Staff Applied Scientist defining evaluation strategy and quality metrics for Datadog's AI-native Dashboards product. Owns ML/GenAI evaluation systems, builds datasets and harnesses, and drives improvements in retrieval, tool selection, and agent performance.
Owns the full insights function for top advisors, building reporting infrastructure, dashboards, and analytical frameworks to drive coaching, business reviews, and growth strategy. Partners with Business Strategy and Operations teams using data and AI to enable effective advisor coaching.
Lead end-to-end data validation for investment portfolios, building scalable analytics in Databricks and writing Python logic to detect anomalies. Requires 2+ years in tech/finance/consulting and hands-on experience with complex investment datasets.
Build and optimize AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists to implement scalable AI solutions on cloud infrastructure.
Research Engineer/Scientist building vision-language pipelines and data systems for robot learning. Focus on turning egocentric/teleoperation video into high-signal training data for VLAs and world models.
Data Analyst on the Urban Solutions team analyzing micromobility operations to improve bike and scooter share performance across US markets. Partners with Product, Engineering, Operations and Finance to forecast needs, diagnose issues, and drive data-informed decisions.
Build and maintain quantitative models for insurance pricing, underwriting, forecasting, and investment portfolio management. Requires strong quantitative background and experience with statistical modeling and ML techniques.
Own and scale the distributed training infrastructure for large-scale omni model pretraining across GPU clusters, covering job orchestration, parallelism, GPU communication, data loading, and performance optimization.
Own end-to-end data platform strategy and lead the data engineering team. Build scalable multi-tenant infrastructure, AI-on-data capabilities, and productized integrations for sports analytics clients.
Senior backend/infrastructure engineer expanding Sentry's time-series data platform (Snuba/ClickHouse) to handle petabyte-scale events with sub-second latency. Requires 4+ years experience and distributed storage expertise.
Partner with Marketing to analyze data, build narratives, and create content across blogs, reports, and landing pages. Requires 2+ years as a Data Analyst with strong SQL/Python skills and customer-facing experience.
Senior Data Analyst driving customer analytics for a Connected TV advertising platform. Builds scalable data models, dashboards, and statistical analyses to improve customer outcomes and business decision-making.
Staff Applied ML Engineer building and operating production ML decision systems to detect and prevent payment fraud, scams, identity abuse, and marketplace risk across Block.
Build and operate production ML systems for ranking, recommendations, search, and customer intelligence signals used across product, growth, risk, and decisioning teams. Requires 12+ years of production ML experience and deep expertise in intelligent systems.
Lead analytics for Retail, Restaurant, and Agency partnerships at Fetch. Own analytic processes, manage client engagements, and deliver SQL-driven insights to drive partner performance and strategic alignment.
Build data pipelines, models, dashboards, and analyses to support product and business decision-making. Requires 2+ years of Python/SQL experience with data modeling, ETL tools, and AWS.
Build and deploy production ML models and pipelines to detect suspicious activity, improve verification accuracy, and support threat intelligence workflows.
Senior engineer building data pipelines and tooling to curate large-scale autonomy datasets from drone logs and media for ML model training. Requires 5+ years experience, strong Python/C++ skills, and production data pipeline expertise.
Design, build and maintain business-critical data systems and ETL pipelines connecting production data to business tools. Build ML models and drive data insights across sales, marketing, product, and finance teams.
Transforms raw product and vendor data into a single source of truth, using SQL and BI tools to drive sourcing optimization, cost savings, and vendor rationalization.
Own payments excellence by investigating signals like NSF rates and reconciliation gaps, conducting root-cause analysis, and producing prioritized recommendations that drive revenue and efficiency. Requires 3+ years in payment analysis or fintech operations.
Architect and build multi-task, multi-objective ranking systems that unify search, recommendations, ads, and merchandising. Design long-horizon value models, causal inference systems, and low-latency inference layers while mentoring ML engineers.
Part-time student worker building and validating a driving risk assessment system and experimental RAG pipeline for autonomous vehicle behavior testing. Requires Python, ML/stats, and data skills; 40 hrs/week onsite hybrid commitment.
Senior AI Engineer building and scaling production GenAI systems for CreditAI, including multi-agent workflows, RAG pipelines, LLM fine-tuning, and AWS deployments. Requires 5+ years of AI/ML experience and deep Python expertise.
As a Staff Engineer for Search, you will build and scale Databricks' next-generation Search product, driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack. You will also define the long-term vision, mentor senior engineers, and lead strategic efforts.
As a Research Engineer, you will conduct and enable cutting-edge research, translating it into the core product pipeline. You will develop and improve state-of-the-art data curation strategies, accelerating research and ensuring product innovation.
As a Senior ML/AI Modeler, you will automate Risk and Compliance investigations at Block using agentic and generative AI. You will experiment with and deploy AI copilot and autopilot systems, owning the end-to-end system from API calls to productionization and monitoring.
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.
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.
Discord is seeking a Staff Data Engineer to lead technical vision and strategy for ads data infrastructure. This role involves building and maintaining sophisticated data pipelines, datasets, and analytical tools, and mentoring other engineers.
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 Senior Research Scientist on the Video team, you will drive research initiatives and translate advanced computer vision and deepfake detection models into scalable enterprise solutions. You will focus on audio-visual deepfake detection, synthetic media identification, and real-time video processing.
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 Staff ML Platform Engineer, you will drive the technical vision and execution of Grow Therapy's Machine Learning Platform, designing and building large-scale, real-time ML systems to power core product experiences like patient-provider matching.
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.