Top Remote Machine Learning Jobs in San Luis Obispo, CA

The Senior Display Media Account Manager develops and executes digital media strategies, focusing primarily on Amazon DSP, while fostering client relationships, providing analytics, and driving business growth for clients.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Lead the Lime Vision team as a Staff Applied Scientist, specializing in Computer Vision and Machine Learning. Own technical strategies for complex problems in micro-mobility, optimizing models for edge devices and ensuring compliance with city regulations.

Design and implement scalable machine learning pipelines, collaborate with cross-functional teams, ensure deployment standards, and champion best practices in observability and monitoring.

Develop and optimize machine learning models and workflows to enhance insurance processes. Collaborate on model integration, monitoring, and improvement while driving innovation in modeling techniques.

The Sr AI Platform Specialist Solution Architect will provide technical sales support for AI solutions, architect AI systems, and facilitate customer engagement, focusing on removing blockers for adopting Red Hat AI.

As a Scientist II, you will design and implement studies for natural language applications, manage cross-program analysis, and ensure coherence in automated scoring systems.

The Senior Product Marketing Manager will develop strategies, create messaging frameworks, and produce marketing materials to effectively communicate Socure's value in the identity verification and fraud prevention market while collaborating with cross-functional teams.

The Engineering Manager for Computer Vision will lead a team to develop and maintain models for license plate recognition and vehicle intelligence, ensuring operational excellence while driving innovation and mentoring engineers.

Oversee AI application development, ensuring high standards in engineering, system design, and cross-functional integration, while mentoring engineers and leading technical innovation.

As a Machine Learning Engineer, you'll create and optimize production-ready ML solutions, manage the ML lifecycle, and conduct experiments.

The Senior Machine Learning Researcher will design experiments, research new algorithms, and collaborate on deploying models for computer vision and robotics applications.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

The Director, Strategy & Insights will enhance client performance using advanced analytics and machine learning, ensuring client satisfaction and achieving revenue goals through strategic planning and cross-functional collaboration.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

Manage a team of data scientists and analytics engineers to innovate Netflix's core product experience, driving measurement and insights across the TV and interactive discovery domains.

Lead the development of first-party measurement solutions, integrate with third-party partners, and ensure high-quality analytics outputs within the ads ecosystem.

The Principal Software Engineer II will build and maintain machine learning components in Elasticsearch, collaborating with teams, writing scalable code, and owning projects from design to implementation.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

Lead a team of advanced product analysts, conduct data analysis and statistical modeling, design experiments, and develop reporting tools to drive product decisions and business performance.

The Agentic AI Product Manager will lead the AI product lifecycle, collaborating across functions to launch AI solutions integrated with ServiceNow, focusing on customer outcomes and market fit.