Elicit is a tool designed to enhance academic research productivity by automating the analysis of research papers. It allows users to summarize papers, extract data, and synthesize findings quickly and efficiently, making the literature review process significantly faster and more organized. With access to over 125 million research papers, Elicit empowers researchers to discover relevant literature using natural language queries and offers features that streamline systematic reviews and meta-analyses.
February 20
π California β Remote
π΅ $195k - $230k / year
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
Airflow
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
Hadoop
JavaScript
Kubernetes
Next.js
Node.js
Python
Ray
Spark
SQL
TypeScript
Elicit is a tool designed to enhance academic research productivity by automating the analysis of research papers. It allows users to summarize papers, extract data, and synthesize findings quickly and efficiently, making the literature review process significantly faster and more organized. With access to over 125 million research papers, Elicit empowers researchers to discover relevant literature using natural language queries and offers features that streamline systematic reviews and meta-analyses.
β’ Elicit is an AI research assistant that uses language models to help researchers figure out whatβs true and make better decisions, starting with common research tasks like literature review. β’ Our mission is to make Elicit the most complete and up-to-date database of scholarly sources. β’ We need a skilled Data Engineer to architect and implement robust, scalable solutions to handle growing data needs while maintaining high performance and data quality.
β’ 5+ years of experience as a data engineer building core datasets and supporting business verticals with high data volumes β’ Strong proficiency in Python (5+ years experience) β’ Experience with architecting and optimizing large data pipelines with Spark β’ Strong SQL skills, including understanding of aggregation functions, window functions, UDFs, self-joins, partitioning, and clustering approaches β’ Experience with Parquet file formats and other columnar data storage formats β’ Strong data quality management skills β’ Ability to balance technical expertise with creative problem-solving β’ Excited to interact with product/web app and help ship new features (e.g., real-time updates, advanced filtering options) β’ Experience shipping scalable data solutions in the cloud (e.g., AWS, GCP, Azure), across multiple data stores and methodologies
β’ Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you can travel for in-person retreats and coworking events β’ Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family β’ Flexible vacation policy, with a minimum recommendation of 20 days/year + company holidays β’ 401K with a 6% employer match β’ $2,000 device budget to start, with more accumulating for each month of work β’ $500 / year personal development budget β’ A team administrative assistant who can help you with personal and work tasks
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