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I'm Joshua Long, a Senior Machine Learning Engineer with 10+ years of experience spanning e-commerce, on-demand marketplaces, healthcare, and FAANG. I specialize in applied data science, experimentation, and production ML, with a recent focus on ML platform enablement and GenAI infrastructure. I build and scale ML systems for search, ranking, and retrieval, and I design end-to-end ML lifecycles—from data pipelines to deployment, monitoring, and governance. I enjoy translating business needs into reliable, observable AI solutions and collaborating across platform, product, and research teams to drive measurable impact.…I'm Joshua Long, a Senior Machine Learning Engineer with 10+ years of experience spanning e-commerce, on-demand marketplaces, healthcare, and FAANG. I specialize in applied data science, experimentation, and production ML, with a recent focus on ML platform enablement and GenAI infrastructure. I build and scale ML systems for search, ranking, and retrieval, and I design end-to-end ML lifecycles—from data pipelines to deployment, monitoring, and governance. I enjoy translating business needs into reliable, observable AI solutions and collaborating across platform, product, and research teams to drive measurable impact.

Joshua Long

Data Scientist, AI Engineer, AI Developer, +2

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I'm Joshua Long, a Senior Machine Learning Engineer with 10+ years of experience spanning e-commerce, on-demand marketplaces, healthcare, and FAANG. I specialize in applied data science, experimentation, and production ML, with a recent focus on ML platform enablement and GenAI infrastructure. I build and scale ML systems for search, ranking, and retrieval, and I design end-to-end ML lifecycles—from data pipelines to deployment, monitoring, and governance. I enjoy translating business needs into reliable, observable AI solutions and collaborating across platform, product, and research teams to drive measurable impact.…I'm Joshua Long, a Senior Machine Learning Engineer with 10+ years of experience spanning e-commerce, on-demand marketplaces, healthcare, and FAANG. I specialize in applied data science, experimentation, and production ML, with a recent focus on ML platform enablement and GenAI infrastructure. I build and scale ML systems for search, ranking, and retrieval, and I design end-to-end ML lifecycles—from data pipelines to deployment, monitoring, and governance. I enjoy translating business needs into reliable, observable AI solutions and collaborating across platform, product, and research teams to drive measurable impact.

Available to hire

I’m Joshua Long, a Senior Machine Learning Engineer with 10+ years of experience spanning e-commerce, on-demand marketplaces, healthcare, and FAANG. I specialize in applied data science, experimentation, and production ML, with a recent focus on ML platform enablement and GenAI infrastructure.

I build and scale ML systems for search, ranking, and retrieval, and I design end-to-end ML lifecycles—from data pipelines to deployment, monitoring, and governance. I enjoy translating business needs into reliable, observable AI solutions and collaborating across platform, product, and research teams to drive measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior Machine Learning Engineer & Data Scientist at DoorDash

December 1, 2022 - Present

Led GenAI and ML platform initiatives across training, orchestration, serving, and observability. Built and deployed LLM-powered semantic search pipelines using GPT-4, Claude 3, and Sentence Transformers for menus, groceries, and retail, with hybrid RAG, vector stores (FAISS/Pinecone), and caching to support low-latency search. Integrated with DoorDash's ML Platform components (Fireworks for training, Metaflow for orchestration, Serving V2 with Triton) to deliver scalable inference. Implemented multi-agent LLM workflows with retrieval, reasoning, enrichment, and evaluation, plus Model Context Protocol for memory management. Developed LLM-as-a-Judge evaluation framework to detect hallucinations and benchmark quality. Implemented content safety guardrails and performance monitoring (GPU/token costs, latency) and owned end-to-end reliability of GenAI pipelines.

Machine Learning & Data Scientist at Clover Health

August 1, 2019 - November 1, 2022

Applied Transformer-based NLP (ClinicalBERT/BioBERT) to physician notes to improve chronic condition detection and chart-review automation. Fine-tuned transformer models with task-specific objectives, balancing recall with explainability. Built encoder-decoder clinical summarization prototype and enhanced diagnosis/medication extraction via sequence labeling. Established reproducible training/evaluation workflows across claims, EHR, and NLP pipelines, with monitoring for drift and fairness analyses.

Machine Learning Engineer at Amazon

January 1, 2017 - August 1, 2019

Built high-volume DeepAR forecasting models improving demand predictions for volatile ASIN clusters. Designed anomaly detection pipelines monitoring fulfillment throughput, forecast errors, and inventory discrepancies. Developed Spark + EMR data pipelines processing billions of weekly events for backtesting and feature generation; contributed to early feature-store standardization; incorporated marketing signals into time-series models and implemented monitoring for forecast accuracy and data freshness.

Data Scientist at BigCommerce

July 1, 2015 - December 1, 2016

Built the company’s first merchant churn prediction model using logistic regression and boosted trees. Conducted segmentation, lifecycle analysis, and revenue insights for merchant behavior. Improved search relevance via metadata enrichment and embedding-based similarity scoring. Designed ETL and analytics pipelines in Python + SQL + Airflow supporting dashboards and ML workloads; developed regression models to quantify marketing channel effects on ROI.