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Go Find government Jobs Listings Full/Part Time + Benefits $20-$35+ / Hour. (APPLY HERE)
Product Manager I App WayfindingFull time Two Folsom, San Francisco, CA, US 94105At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of icon
Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Extract, load and transform data (ETL) from structured and unstruct
Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging. We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Hand
Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. You'll also receive benefits including, but not limited to: Comprehensive health, de
Data Quality Team LeadManufacturing advanced electronics requires understanding millions of signals generated across complex assembly processes. Instrumental builds systems that capture and analyze th
$16.50 per hour - $22 per hour Our Winning Family Starts With You Check out these great benefitsFlexible schedules to help you balance other life commitments (school, childcare, family care, etc.)Free
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Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation
The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-gener
Director Of The Front OfficeCompensation: $80,000 to $90,000 per year, Full-TimeJoin our team as Director of the Front Office!Step into the spotlight as our Director of Front Office! You'll lead and e
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Reporting to the Platform Leader of Computational Microscopy, the Machine Learning Scientist will have the primary responsibility for developing innovative and impactful AI/ML models of intracellular dynamics and accelerating CZ Biohub’s ambitious goals of mapping dynamic cell systems across biolo
We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. We're an applied Machine Learning team that leverages st
Your team’s impact will span from the software foundations of ATLAS – tying our high-throughput chemistry and biology platform into a smoothly humming data engine – through the data science and machine learning directing the platform and scaling model development to accelerate drug discovery f
Job Description: + Models and delivers a distinctive and delightful customer experience. + Registers sales on assigned cash register, provides customers with courteous, fair, friendly, and efficient c
Store ManagerDeliver a customer centric shopping experience by managing and delivering effective front-end operations and expectations. Lead the omnichannel processes. Maintain store recovery standard
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We pursue this mission via an ML‑driven algorithmic approach, applying state‑of‑the‑art Machine Learning (ML), Optimization techniques to learn from massive datasets Uber has, and building a scalable and reliable shopping intelligence ranking and recommendation systems. Design and build Mach
Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac