8 machine learning developer jobs at 4 companies in Escalon, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
$146k-$223k/yrHybridMultiple Commitments Available
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
Master’s degree or equivalent in ML, computational biology, CS, mathematics; experience with ML methods; DOE Q clearance required; strong computing and collaboration skills.
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
5+ YOEMaster’s in engineering, ML, statistics, CS or related field; U.S. citizenship and DOE Q clearance eligibility; strong AI/ML for physics-based engineering; proven research leadership and collaboration.
Vagaro: Cloud-based management platform for beauty and wellness businesses.
0+ YOE0-2 years experience preferred; proficiency in Python, machine learning, deep learning, generative AI, LLM/NLP; some experience with AWS/GCP/Azure and Docker/Kubernetes; strong communication and problem-solving skills.
BlackLineNASDAQ: BL: Provides cloud software to automate financial close and accounting.
Designs and implements machine learning and deep learning algorithms; translates algorithms into production code; applies statistical modeling, optimization, and experimental methodologies; works with large-scale computing and data analysis frameworks.
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
0+ YOEPhD in Atmospheric Sciences or related field; experience in cloud microphysics, turbulence, cloud schemes, convective modeling, observational analysis, and machine learning; strong communication; collaborative, independent research ability.