7 ml intern jobs at 5 companies in Georgetown, TX
2mo
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Quantitative Developer Intern
Austin, Texas, United States
OnsiteInternship
Internship focused on building optimization, analytics, and trading software using Python/SQL; experience with ML/Statistics and CI/CD encouraged.
Python, SQL, CI/CD
2mo
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Quantitative Research Intern, PhD (Summer 2027)
Chicago or Austin or New York City
$80k-$100k/yr OnsiteInternship
PhD student (STEM) available Summer 2027; strong math, statistics, ML, programming and research skills; experience with time-series/forecasting preferred.
1mo
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Quantitative Research Intern, PhD (Summer 2027)
Austin or Chicago or New York City
OnsiteInternship
PhD student in a STEM field, strong math/statistics and ML skills, experience with large-scale data analysis and modeling, strong research and programming ability, fluent English.
1mo
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Quantitative Research Intern, PhD (Summer 2027)
Chicago or Austin or New York City
$80k-$100k/yr OnsiteInternship
Currently enrolled PhD student (STEM) graduating 12/2027–06/2029, available Summer 2027; strong math/statistics, research and ML experience, programming proficiency, excellent communication.
4d
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Site Reliability Engineer, Apple Data Platform - AI/ML Platform
Austin, Texas, United States
OnsiteFull Time
Experience operating large multi-cloud data platforms, incident response, supporting internal engineering teams, and running services such as Spark, Flink, Airflow, Ray and notebook/LLM agent platforms.
Spark, Flink, Airflow, Ray, Notebooks, LLM
1mo
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Head of Product: Delivery & Internal
Austin, Texas, United States
$200k-$250k/yr OnsiteFull Time
10+ YOE5+ Mgmt10+ years product management with 5+ years managing PMs; experience owning platform/developer tooling or internal-facing B2B products; strong technical literacy with APIs, integrations, ML; experience with AI/automation or enterprise workflow products.
2mo
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DevOps Engineer
Austin or Yerevan
HybridFull Time
Experience building and operating internal platform services; strong Linux and container orchestration; knowledge of SDLC; ML/data workflows; cloud providers; hybrid infra; Python scripting; core networking; security.
Docker, Kubernetes, Slurm, Hadoop, Airflow, Python, AWS, GCP, Azure, GitHub Actions