Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.
Design, build, and maintain scalable Snowflake data pipelines for Product and Data Science teams, with ownership of cost optimization, performance tuning, and Streamlit dashboards.
Senior ML Engineer focused on building, deploying, and monitoring credit underwriting models. Requires 6+ years production ML experience, fintech lending knowledge, and Python/Spark proficiency.
Own end-to-end computer vision pipelines for extracting structured inventory data from clinical images using object detection, multimodal LLMs, and OCR. Requires 5+ years of CV experience and strong Python backend skills.
Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.
Lead and manage a team of 5+ data engineers to build and operate Skillable's enterprise data platform. Drive Medallion architecture implementation using Databricks, dbt, Boomi, and Delta Lake while establishing DataOps practices and improving pipeline reliability.
Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.
Software Engineer building data models, pipelines, and systems for measuring, monetizing, and optimizing customer lifecycle at an AI marketing platform.
Experienced AI/ML engineer building and deploying LLM/NLU systems to extract and evaluate clinical data from medical documents for healthcare payers. Focus on reliable, accurate outputs and seamless integration with backend platforms.
Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.
Senior individual contributor Product Data Scientist driving growth analyses, experimentation, and applied analytics for a mental health tech platform. Owns opportunity sizing, experiment design, and cross-functional insights for Product, Engineering, and Operations stakeholders.
Data Mining Analyst responsible for extracting insights from large healthcare datasets using SQL and data mining techniques. Lead small projects, create reports, and train new analysts while collaborating across departments.
Senior Data Analyst embedded with Growth, Sales, and Acquisition teams to improve marketing measurement, run experiments, build data models, and drive GTM decisions using SQL, BigQuery, and dbt.
Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.
Forward-deployed AI Engineer embedding with teams to build production agentic workflows, LLM applications, RAG pipelines, and MCP servers that automate work across Engineering, Operations, and Finance. Own end-to-end delivery from discovery through production monitoring on GCP.
Lead a world-class research team advancing LLM scaling, post-training, RL, and inference efficiency at Databricks AI. Drive research roadmap and translate breakthroughs into production systems while collaborating closely with engineering and product teams.
Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.
New grad Data Scientist role focused on model optimization and quantization for Quadric's custom GPNPU architecture. Own quantization workflows, extend quantization libraries, and build accuracy testing infrastructure. Requires strong Python/PyTorch skills and ML foundations.
Senior AI Automation Manager who builds and owns KPIs, delivers strategic analytics, and designs/deploy AI agents to automate BI workflows for leadership decision-making.
Staff ML Engineer leading development of core bidding, ranking, and yield optimization systems for programmatic ads across exchanges. Owns end-to-end ML pipelines and drives technical direction for marketplace algorithms.
Staff-level IC building and scaling the ML/AI platform infrastructure that enables training, deployment, and serving of models and agentic systems at massive scale. Focus on high-leverage architecture decisions and technical leadership across Attentive’s AI organization.
Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.
Build AI-powered analytics systems for hiring, compensation, performance, and workforce planning at an AI-native company. Partner across HR, Recruiting, and Finance to create predictive models, AI agents, and automated workflows that improve talent decisions.
Administer and optimize AWS PostgreSQL databases, tune queries, and improve data schemas while using AI tools for daily workflows.
Lead advanced analytics for Airbnb's new Services business, analyzing supply/demand drivers, defining metrics, building dashboards, and running A/B tests to inform strategic decisions across markets and segments.
Staff ML Engineer to own the model serving stack for real-time voice inference (STT, TTS, speech-to-speech) on H100/H200 GPUs. Drive latency/throughput optimization using TRT-LLM and SGLang for models like Whisper and Parakeet.
Lead statistical analysis and visualization capabilities for BioRender's Graphing product. Own R implementation, analysis validation, roadmap definition, and cross-functional statistical literacy.
Analytics Engineer embedded with the GTM team to build data pipelines, develop dashboards, and drive data-driven decision making across revenue, pricing, and usage metrics. Requires 10+ years of experience, strong SQL/Python skills, and BI tools expertise.
Lead data infrastructure for a national security tech company building a high-performance data lake and ETL pipelines for petabyte-scale cyber operations datasets. Requires 8+ years experience, strong data lake expertise, and proven technical leadership.
Senior GTM Data Analyst partnering with leadership to build dashboards, own data models in dbt, and deliver actionable insights using SQL, AI tools, and advanced analytics for a cloud security company.
Owns product and growth analytics for a voice-first consumer AI platform. Partners with PMs and engineers on metrics, experimentation, and insights to drive product decisions.
Develop multi-agent AI architectures for enterprise coordination and collaborative reasoning. Requires research experience in MARL/GNNs, strong prototyping skills, and daily AI tool usage.
Develop and apply post-training methods and interpretability techniques to improve safety and understanding of frontier AI systems. Requires 3+ years of ML experience, expertise in RL techniques like RLHF and DPO, and published research in generative AI.
Data Scientist partnering with engineering teams to measure, optimize, and improve Pinterest's infrastructure systems including performance, reliability, and metrics quality. Requires strong SQL, experimentation skills, and experience building production data pipelines and measurement frameworks.
Data Scientist focused on improving Pinterest's experimentation platform through advanced methodologies, process optimization, and cross-team collaboration. Requires strong stats background and 2+ years experience or PhD.
Translate AI-driven drug development predictions into measurable portfolio outcomes by building portfolio construction, risk monitoring, and performance attribution systems. Requires 1-3 years quantitative experience, strong Python skills, and portfolio construction fundamentals.
Lead development of models and algorithms powering real-time voice agents, focusing on speech understanding, naturalness, and production deployment. Requires 5+ years in AI/ML, LLM production experience, and strong Python/ML skills.
Build and deploy scalable AI applications and intelligent agents for enterprise customers. Requires 5+ years of experience with Python, ML frameworks (PyTorch/TensorFlow/JAX), LLMs, and cloud platforms.
Founding AI Engineer building and shipping production-grade computer vision, LLM, and multimodal models for real-world construction documents at an early-stage startup.
Data Scientist focused on safety at OpenAI, building analytics to measure harmful behavior, detect fraud, evaluate safety systems, and inform critical decisions on AI deployment. Requires strong SQL/Python, statistical reasoning, and experience with causal analysis.
Data Scientist embedded in product teams, partnering with PMs and engineers to drive data-informed decisions for a critical user-facing fintech product through analysis, experimentation, modeling, and ML prototypes.
Lead the design and scaling of ML infrastructure and GenAI platforms at Weave, enabling product teams to deliver AI-powered healthcare communication features. Requires deep expertise in MLOps, LLMs, distributed systems, and cross-team technical leadership.
Owns analytics for Airbnb's guest lifecycle marketing programs. Sets strategy, designs large-scale experiments, and drives incremental bookings through insights and measurement.
Lead Reddit’s Safety ML organization to build and deploy large-scale ML systems that detect harmful content and protect users. Drive strategy, manage teams of 25+ ML scientists and engineers, and partner cross-functionally to advance responsible AI for platform safety.
Senior Software Engineer focused on architecting and scaling high-throughput data platforms for analytics, AI/ML, and centralized storage using Java, Spark, Flink, Kafka, and modern data lake technologies.
Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.
Architect and build Voleon’s batch and realtime streaming platform that powers ML research and production trading systems. Requires 10+ years experience building scalable data infrastructure with Python, Go, and distributed systems.
Build and operate Chime's ML platform on AWS, including distributed training systems, feature stores, data pipelines, and CI/CD tooling. Partner with ML teams to improve reliability, observability, and developer experience for production models.
Build production-grade AI infrastructure and agentic systems for a revenue automation platform. Own end-to-end features from ideation through reliable deployment for business-critical finance workflows.
Own model quality and performance for Cerebras inference by building AI agent-driven eval suites, automating benchmarking, and creating customer-specific tooling. Requires strong AI agent experience and tooling intuition.
Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.
Design, build, and maintain scalable Snowflake data pipelines for Product and Data Science teams, with ownership of cost optimization, performance tuning, and Streamlit dashboards.
Senior ML Engineer focused on building, deploying, and monitoring credit underwriting models. Requires 6+ years production ML experience, fintech lending knowledge, and Python/Spark proficiency.
Own end-to-end computer vision pipelines for extracting structured inventory data from clinical images using object detection, multimodal LLMs, and OCR. Requires 5+ years of CV experience and strong Python backend skills.
Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.
Lead and manage a team of 5+ data engineers to build and operate Skillable's enterprise data platform. Drive Medallion architecture implementation using Databricks, dbt, Boomi, and Delta Lake while establishing DataOps practices and improving pipeline reliability.
Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.
Software Engineer building data models, pipelines, and systems for measuring, monetizing, and optimizing customer lifecycle at an AI marketing platform.
Experienced AI/ML engineer building and deploying LLM/NLU systems to extract and evaluate clinical data from medical documents for healthcare payers. Focus on reliable, accurate outputs and seamless integration with backend platforms.
Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.
Senior individual contributor Product Data Scientist driving growth analyses, experimentation, and applied analytics for a mental health tech platform. Owns opportunity sizing, experiment design, and cross-functional insights for Product, Engineering, and Operations stakeholders.
Data Mining Analyst responsible for extracting insights from large healthcare datasets using SQL and data mining techniques. Lead small projects, create reports, and train new analysts while collaborating across departments.
Senior Data Analyst embedded with Growth, Sales, and Acquisition teams to improve marketing measurement, run experiments, build data models, and drive GTM decisions using SQL, BigQuery, and dbt.
Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.
Forward-deployed AI Engineer embedding with teams to build production agentic workflows, LLM applications, RAG pipelines, and MCP servers that automate work across Engineering, Operations, and Finance. Own end-to-end delivery from discovery through production monitoring on GCP.
Lead a world-class research team advancing LLM scaling, post-training, RL, and inference efficiency at Databricks AI. Drive research roadmap and translate breakthroughs into production systems while collaborating closely with engineering and product teams.
Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.
New grad Data Scientist role focused on model optimization and quantization for Quadric's custom GPNPU architecture. Own quantization workflows, extend quantization libraries, and build accuracy testing infrastructure. Requires strong Python/PyTorch skills and ML foundations.
Senior AI Automation Manager who builds and owns KPIs, delivers strategic analytics, and designs/deploy AI agents to automate BI workflows for leadership decision-making.
Staff ML Engineer leading development of core bidding, ranking, and yield optimization systems for programmatic ads across exchanges. Owns end-to-end ML pipelines and drives technical direction for marketplace algorithms.
Staff-level IC building and scaling the ML/AI platform infrastructure that enables training, deployment, and serving of models and agentic systems at massive scale. Focus on high-leverage architecture decisions and technical leadership across Attentive’s AI organization.
Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.
Build AI-powered analytics systems for hiring, compensation, performance, and workforce planning at an AI-native company. Partner across HR, Recruiting, and Finance to create predictive models, AI agents, and automated workflows that improve talent decisions.
Administer and optimize AWS PostgreSQL databases, tune queries, and improve data schemas while using AI tools for daily workflows.
Lead advanced analytics for Airbnb's new Services business, analyzing supply/demand drivers, defining metrics, building dashboards, and running A/B tests to inform strategic decisions across markets and segments.
Staff ML Engineer to own the model serving stack for real-time voice inference (STT, TTS, speech-to-speech) on H100/H200 GPUs. Drive latency/throughput optimization using TRT-LLM and SGLang for models like Whisper and Parakeet.
Lead statistical analysis and visualization capabilities for BioRender's Graphing product. Own R implementation, analysis validation, roadmap definition, and cross-functional statistical literacy.
Analytics Engineer embedded with the GTM team to build data pipelines, develop dashboards, and drive data-driven decision making across revenue, pricing, and usage metrics. Requires 10+ years of experience, strong SQL/Python skills, and BI tools expertise.
Lead data infrastructure for a national security tech company building a high-performance data lake and ETL pipelines for petabyte-scale cyber operations datasets. Requires 8+ years experience, strong data lake expertise, and proven technical leadership.
Senior GTM Data Analyst partnering with leadership to build dashboards, own data models in dbt, and deliver actionable insights using SQL, AI tools, and advanced analytics for a cloud security company.
Owns product and growth analytics for a voice-first consumer AI platform. Partners with PMs and engineers on metrics, experimentation, and insights to drive product decisions.
Develop multi-agent AI architectures for enterprise coordination and collaborative reasoning. Requires research experience in MARL/GNNs, strong prototyping skills, and daily AI tool usage.
Develop and apply post-training methods and interpretability techniques to improve safety and understanding of frontier AI systems. Requires 3+ years of ML experience, expertise in RL techniques like RLHF and DPO, and published research in generative AI.
Data Scientist partnering with engineering teams to measure, optimize, and improve Pinterest's infrastructure systems including performance, reliability, and metrics quality. Requires strong SQL, experimentation skills, and experience building production data pipelines and measurement frameworks.
Data Scientist focused on improving Pinterest's experimentation platform through advanced methodologies, process optimization, and cross-team collaboration. Requires strong stats background and 2+ years experience or PhD.
Translate AI-driven drug development predictions into measurable portfolio outcomes by building portfolio construction, risk monitoring, and performance attribution systems. Requires 1-3 years quantitative experience, strong Python skills, and portfolio construction fundamentals.
Lead development of models and algorithms powering real-time voice agents, focusing on speech understanding, naturalness, and production deployment. Requires 5+ years in AI/ML, LLM production experience, and strong Python/ML skills.
Build and deploy scalable AI applications and intelligent agents for enterprise customers. Requires 5+ years of experience with Python, ML frameworks (PyTorch/TensorFlow/JAX), LLMs, and cloud platforms.
Founding AI Engineer building and shipping production-grade computer vision, LLM, and multimodal models for real-world construction documents at an early-stage startup.
Data Scientist focused on safety at OpenAI, building analytics to measure harmful behavior, detect fraud, evaluate safety systems, and inform critical decisions on AI deployment. Requires strong SQL/Python, statistical reasoning, and experience with causal analysis.
Data Scientist embedded in product teams, partnering with PMs and engineers to drive data-informed decisions for a critical user-facing fintech product through analysis, experimentation, modeling, and ML prototypes.
Lead the design and scaling of ML infrastructure and GenAI platforms at Weave, enabling product teams to deliver AI-powered healthcare communication features. Requires deep expertise in MLOps, LLMs, distributed systems, and cross-team technical leadership.
Owns analytics for Airbnb's guest lifecycle marketing programs. Sets strategy, designs large-scale experiments, and drives incremental bookings through insights and measurement.
Lead Reddit’s Safety ML organization to build and deploy large-scale ML systems that detect harmful content and protect users. Drive strategy, manage teams of 25+ ML scientists and engineers, and partner cross-functionally to advance responsible AI for platform safety.
Senior Software Engineer focused on architecting and scaling high-throughput data platforms for analytics, AI/ML, and centralized storage using Java, Spark, Flink, Kafka, and modern data lake technologies.
Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.
Architect and build Voleon’s batch and realtime streaming platform that powers ML research and production trading systems. Requires 10+ years experience building scalable data infrastructure with Python, Go, and distributed systems.
Build and operate Chime's ML platform on AWS, including distributed training systems, feature stores, data pipelines, and CI/CD tooling. Partner with ML teams to improve reliability, observability, and developer experience for production models.
Build production-grade AI infrastructure and agentic systems for a revenue automation platform. Own end-to-end features from ideation through reliable deployment for business-critical finance workflows.
Own model quality and performance for Cerebras inference by building AI agent-driven eval suites, automating benchmarking, and creating customer-specific tooling. Requires strong AI agent experience and tooling intuition.