5 applied ai intern jobs at 5 companies in Petaluma, CA

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Applied AI Intern
San Francisco, California, United States
OnsiteInternship, Full Time
Kinetic Systems
Kinetic Systems: An early-stage startup advancing AI model capabilities for real-world healthcare tasks through datasets, environments, and models.
Published first-author paper, experience training 1B+ parameter models, research background (MS/PhD preferred) in ML-related fields, strong PyTorch/HuggingFace experience, US work authorization, on-site in San Francisco.
PyTorch, HuggingFace, eVerify
2mo
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Applied AI Intern
San Francisco, California, United States
$1k-$2k/wk OnsiteInternship
Eragon
Eragon: A technology delivering software solutions with a focus on AI and machine learning.
Pursuing BS/MS in computer science or engineering; proficient in Python; familiar with ML frameworks (PyTorch, TensorFlow); strong ML fundamentals; good problem solving; curious and takes ownership.
Python, PyTorch, TensorFlow
1w
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SAP Enterprise Architect
San Francisco, California, United States
HybridFull Time
Luzid
Luzid: AI-powered platform automating enterprise software implementation and ERP delivery.
Deep experience with SAP, Salesforce, Workday, MES and applied AI; customer-facing architecture and internal product definition experience.
SAP, Salesforce, Workday, MES
1mo
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Staff Data Scientist, Finance & Business Ops
San Francisco or United States
$165k-$339k/yr RemoteFull Time
Pinterest
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
8+ YOE8+ years in data science/analytics or applied ML, strong time-series forecasting and quantitative skills, advanced SQL and Python, experience building internal web tools and analytics, AI/LLM applied experience, executive communication.
SQL, Python, JavaScript, TypeScript, Superset, Tableau, Looker
3w
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Director, Internal Analysis
San Francisco, California, United States
$273k-$350k/yr OnsiteFull Time
Mixpanel
Mixpanel: Provides an event-based analytics platform for tracking user behavior.
3+ Mgmt3+ years people management experience in data/analytics, technical fluency across modern data stack, SQL/dbt/Python proficiency, experience with data modeling, experimentation, and applying AI; strong communication and cross-functional partnership skills.
BigQuery, Snowflake, Python, SQL, dbt, Fivetran, Hex, Mixpanel, Amplitude, Heap, Pendo