Top Machine Learning Jobs in Santa Cruz, CA

As a Technical Content Writer, you will create and manage technical documentation for Runpod's GPU cloud platform, collaborating with various teams to ensure clarity and engagement while staying updated on AI trends.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

The Staff Applied Scientist leads the development of machine learning solutions, collaborates with stakeholders, mentors team members, and contributes to intellectual property.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Responsible for the full lifecycle of AI/machine learning on resource-constrained hardware, including data ingestion, model development, and deployment on embedded devices, while working closely with cross-functional teams.

The Director of Engineering will lead engineering teams in CRM products, focusing on technical strategy, people management, and delivery excellence, emphasizing AI integration and engineering best practices.

The role involves leading a team of Forward-Deployed Machine Learning Engineers to deliver AI solutions, manage project execution, and enhance operational excellence.

As a Compliance Data Scientist Co-op, you will automate data processing, enhance Power BI reports, and utilize AI for compliance improvements.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Develop core AI features for an AI-native product, including building LLM features, developing benchmarks, and overseeing the full lifecycle of development.

The Technology Director leads technology strategy and delivery across client engagements, directly contributing to technical solutions, architecture, and hands-on production work while mentoring teams and representing technology in client partnerships.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Senior ML Engineer will architect ML infrastructure, deploy models, manage data, ensure MLOps practices, and collaborate on data projects with diverse teams.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The Enterprise Account Executive will drive the sales of Sift's fraud solutions to Fortune 1000 companies, engaging with key stakeholders and building custom strategies to address fraud challenges through value-based selling and collaboration.

The Principal Risk Quality Engineer leads the Risk Management process for AI/ML medical technology, ensuring safety, compliance, and risk assessment throughout the product lifecycle.