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Software Engineer, Data Acquisition - San Francisco California
Company: harvey.ai Location: San Francisco, California
Posted On: 05/04/2024
Why HarveyHarvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized by our expert team of lawyers, engineers and research scientists. We've found product market fit and are scaling our team very quickly. Some reasons to join Harvey are: - Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world like,, and many others.
- Strategic investors: Raised overfrom strategic investors including Sequoia, Kleiner Perkins, and the OpenAI Startup Fund.
- World-class team: Harvey is hiring the best technical and non-technicalfrom DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Superhuman, Glean, etc.
- Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.
- Performance: $0-15M ARR in the last 12 months.
- Value: Top of market cash and equity compensation.RoleAs a Software Engineer on the Data Acquisition team at Harvey, you will own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. We are looking for individuals with past data processing experience that are excited about the role data infrastructure will play in unlocking research advances and AI-native products.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.Responsibilities
- Cross Functional: Collaborate with other teams, such as Research and Product, to ensure smooth data flow and availability.
- Efficient and Available: Architect and implement algorithms for data indexing and search capabilities.
- Unstructured to Structured: Index and organize data using classical and AI / ML techniques, optimizing for compute cost and consumer needs.
- Infrastructure: Maintain and optimize data processing infrastructure and provide tooling for consumers.QualificationsCandidates should have 5+ YoE (post-BS/MS) in a data infra role. Additionally, you may be a strong fit for this role if you:
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