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Applied mathematics • fairfield ca
Applied Scientist IV : 25-04285
Akraya Inc.Virtual Location - California, CA, USLWTA - Mathematics Lead Writing TA
University of TorontoSt. George, CALecturer Pool in Department of Mathematics (Academic Year 25 / 26
The California State UniversityHumboldtMathematics, Teacher - Romero-Cruz Academy - Temporary Contract - 2024-2025 School Year
Santa Ana Unified School DistrictOrange County, CAPatent Prosecution Associate / Patent Agent – Electrical Engineering, Mechanical Engineering, Physics, Mathematics #20391
Vanguard-IPOrange County, California, United StatesMATHEMATICS (CREDIT)
Santa Rosa Junior CollegeSonoma County, CAMathematics Private Tutoring Jobs Fairfield
SuperprofFairfield, CaliforniaPART TIME INSTRUCTOR POOL - MATHEMATICS
Grossmont-Cuyamaca Community College DistrictSan Diego CountyPayroll Specialist (25-08)
Northern College of Applied Arts and TechnologyKirkland Lake, CAApplied Process Technology Engineer
Mosaic Canada ULCSK,Belle Plaine,CA- New!
Senior Software Engineer - Applied AI
Geomagical LabsCA, USPrincipal Applied Scientist, AI (FULLY REMOTE) - 29543
Splunk IncCalifornia, United StatesResearch Lab Assistant I (Part-Time) - Applied Genomics, Computation & Translational Core
Cedars-SinaiCA, United StatesApplied Scientist IV : 25-04285
Akraya Inc.Virtual Location - California, CA, US- Full-time
- Quick Apply
Primary Skills : Applied Science (Expert), Deep Learning (Advanced), ML Models Deployment (Proficient), Python (Proficient), Recommender Systems (Intermediate)
Contract Type : W2
Duration : 9 Months with possible extension
Location : Remote
Pay Range : $85.00 - $95.00 Per Hour
Job Summary :
We are seeking a highly skilled Senior Applied Scientist with a strong background in machine learning, deep learning, and real-world system deployment to tackle challenging problems in personalization, lead scoring, and complex modeling. The candidate will lead the development and deployment of advanced algorithms and machine learning models to enhance customer experience across various channels. This role involves close collaboration with cross-functional teams to turn cutting-edge ML research into scalable, production-grade systems.
Key Responsibilities :
- Lead development of deep learning-driven personalization algorithms.
- Design and deploy predictive lead scoring models using advanced techniques.
- Architect ML pipelines for large-scale deep learning models including real-time inference.
- Innovate in multi-modal modeling to enhance personalization and lead scoring accuracy.
- Collaborate with MLOps engineers to streamline model deployment and monitoring.
Must-Have Skills :
Industry Experience :
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