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\name{Dennis}{Thiessen, M.Eng.}
\address{Bern, Switzerland}
\phone[mobile]{+41 795 955 585}
\email{dennis@thiessen.io}

\begin{document}

\recipient{To}{Apple Recruiting Team\\ML Data Team, Intelligent System Experience (ISE)\\Apple Inc.\\Zurich, Switzerland}
\date{\today}
\opening{Dear Apple Recruiting Team,}
\makelettertitle

\begin{justify}
The ISE ML Data Team at Apple occupies a specific position in the product stack: you produce the training datasets that determine the quality of Apple Intelligence features on 2.5 billion devices. Genmoji and Photos memory movies each depend on what your team ships. I've spent the past seven years building production data infrastructure for ML systems, from NLP research pipelines at Fraunhofer to computer vision data at Bosch to petabyte-adjacent ETL at Swisscom. I'd like to join ISE as a Data Engineer, where that background maps directly to the work you're hiring for.

At Swisscom, I own the Fulfillment and Product Analysis ETL pipelines as Component Owner and led the migration of our legacy Teradata/Oracle stack to AWS (S3, Glue, Airflow, Athena/Iceberg, CloudFormation). That stack processes telecom-scale data for both ML and analytics. Before Swisscom, I deployed containerized ML inference into Bosch's 24/7 semiconductor fab, owning image-based defect classification pipelines from data preprocessing through production rollout. NLP came earlier: I contributed ML and NLP components to Fraunhofer's ARTUS speech recognition research. Together those two positions cover the dual domain your role describes, in production environments, not prototypes.

The preferred qualification that stood out: agentic workflow design and implementation. At Swisscom I built LangChain-based workflows with domain-specific GPT knowledge bases that the engineering team uses daily for code review and pipeline troubleshooting. It's a small-scale version of the engineering-automation direction Apple is moving toward. Working upstream of features that reach 2.5 billion devices would be the obvious next step for that work. I'd welcome a conversation about what your team is building and where I'd fit.
\end{justify}

\vspace{0.3cm}
{Sincerely,\\
Dennis Thiessen, M.Eng.\\
Staff Data, Analytics \& AI Engineer\\
Swisscom (Schweiz) AG}

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