Joachim Daiber
Principal Machine Learning Engineer @ Upwork
United States
San Francisco
Information Technology & Services
Semantics, Machine Learning, Algorithms, Software Engineering, Computational Linguistics, Semantic Web, Linguistics, Syntax, Parallel Programming, NLP, Language Technology, Natural Language Processing, Computer Science, Artificial Intelligence, LaTeX, Python, Software Development
Experience
Principal Machine Learning Engineer
Upwork
San Francisco, California, United States
Upwork acquired Objective, Inc. in Nov 2024.
Co-Founder & CTO
Objective, Inc. (acquired by Upwork)
San Francisco, California, United States
Staff Machine Learning Engineer
Apple
San Francisco Bay Area
Technical lead in natural language processing. Innovated in applied science and operations to improve quality and coverage of Knowledge question answering in Siri and Search. Expanded question answering from 1 to 24 languages reaching >1 billion users in 50+ markets. - Core developer of MLOps tooling that enabled rapid quality iteration by >30 daily contributors in >24 languages. - Shipped highly reliable high quality question answering systems at < 25ms latency. - Published first dataset for evaluating Q&A quality in 26 languages in Transactions of ACL: https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00433/108607 - Led & mentored 10+ engineers on the team in modeling & driving quality improvements.
Machine Learning Engineer
Lattice Data (acquired by Apple)
Menlo Park, California
Lattice Data developed a data management platform for unstructured data designed to unlock the value of dark data. I lead the expansion of the information extraction system from English to the first foreign language.
Google Summer of Code 2013 mentor (DBpedia Spotlight)
Google Summer of Code 2012 student (DBpedia Spotlight)
Research assistant (Language Technology Lab)
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Berlin Area, Germany
Teaching assistant in ICT
Stonyhurst College
Lancashire, England
Intern in Computational Linguistics and NLP
vionto GmbH
Berlin
Education
University of Amsterdam
Natural language processing, machine translation
My PhD focused on cross-lingual NLP models with application to machine translation. I was especially interested in learning and exploiting language properties (such as typological parameters) in tasks such as word order prediction and compound splitting.
Charles University
Erasmus Mundus Language and Communication Technologies (LCT)
statistical methods in NLP, machine learning, complexity and computability, statistical machine translation, morphology, syntax and semantics, data structures
University of Groningen
Erasmus Mundus Language and Communication Technologies (LCT)
statistical methods in NLP, machine learning, complexity and computability, statistical machine translation, morphology, syntax and semantics, data structures
Freie Universität Berlin
Computer Science, English
data structures and algorithms, parallel programming, computer and software engineering, English and general linguistics, theoretical computer science, semantic web, grammar development in HPSG
Joachim Daiber's Contact Information
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