5 ml engineer jobs at 3 companies in Coarsegold, CA
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AI Engineer/ML Engineer - Senior Developers - AI Training - Fresno, US
Fresno or United States
$80/hrRemoteContract
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related field, professional experience building/deploying/fine-tuning ML models, deep learning/LLM expertise (Transformers, Prompt Engineering, RLHF, RAG), ability to audit model logic and spot hallucinations.
Protection Scientist Engineer, Intelligence and Investigations
San Francisco or New York City or Washington or Remote - US
$198k-$425k/yrHybridFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
4+ YOE4+ years in technical analysis/detection using SQL and Python; experience in trust/safety; data engineering and ML knowledge; productionised code experience.
SQL, Python, Data pipelines, Machine Learning, Production software development
Semios: Providing precision agriculture and farm management software solutions.
10+ YOEBachelor's (or Master's) in CS, Agriculture, Agronomy, Engineering or related; 10+ years product management experience with data platforms, APIs and SaaS; technical fluency with data pipelines and cloud; IoT/ML/geospatial preferred.
APIs, SaaS, SaaS analytics, data pipelines, cloud systems, IoT, geospatial, ML
Semios: Providing precision agriculture and farm management software solutions.
10+ YOEBachelor's (or Master's) in a relevant field; 10+ years product management experience launching data-platform/API/SaaS products; technical fluency with data pipelines and cloud; experience with engineering and data science; IoT/geospatial/ML preferred.
data platforms, APIs, SaaS analytics, data pipelines, cloud systems, IoT, geospatial, ML
Semios: Providing precision agriculture and farm management software solutions.
10+ YOEBachelor's or Master's in a relevant field, 10+ years product management experience with data platforms, APIs, and SaaS analytics, strong technical fluency in data pipelines and cloud systems, experience with engineering/data science teams.
APIs, SaaS, data pipelines, cloud systems, IoT, geospatial, ML, AI