Found.dev
Role Highlights
Languages used
Key skills
Information Retrieval
Data Exploration
RAG
Data Structures
System Design
Signal Processing
AI
Infrastructure
Embeddings
Search
DataSets
Multimodal
Research
Reliability
Architecture
Modelling
ProtoTyping
Machine Learning
Tools, Libraries and Frameworks
DataBricks
MLFlow
Apache Spark
Description
The role involves driving the technical direction of ranking, relevance, evaluation, and quality initiatives for a next-generation search product. The engineer will design and build systems, models, and evaluation frameworks to ensure high-quality results across multimodal datasets. Responsibilities include leading end-to-end engineering efforts from prototyping to production and operating low-latency services for ranking and relevance signal processing. The position requires defining long-term vision, mentoring senior engineers, and collaborating across research and infrastructure teams. Additionally, the role focuses on advancing retrieval quality for enterprise applications through the integration of traditional and neural techniques.
Required Qualifications and Skills
The role requires over 10 years of experience in building large-scale search, ranking, recommendation, or machine learning-driven relevance systems. Candidates must possess deep expertise in ranking models, query understanding, and evaluation methodologies. A solid foundation in algorithms, data structures, and system design for performance-critical systems is necessary. Strong communication and collaboration skills are required to work across teams, alongside a strategic mindset for aligning technical execution with long-term product vision.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Databricks
Size
8632
HQ
San Francisco, US
Public/Private
Privately HeldDescription
Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. --- Attention: Databricks applicants Due to reports of phishing, were requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
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