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Top Machine Learning Jobs in Santa Cruz, CA

Reposted 16 Days Ago
Hybrid
Cupertino, CA, USA
180K-240K Annually
Senior level
180K-240K Annually
Senior level
Artificial Intelligence • Energy
The AI Research Scientist at Gridmatic will focus on applied research to enhance technology for decarbonizing the electricity system, involving forecasting techniques and implementation of machine learning models. The role requires generalizing problem frameworks, analyzing experiments, and authoring research papers while collaborating and mentoring within the ML team.
Top Skills: AlgorithmsForecasting TechniquesMachine LearningMathematicsPythonPyTorchScikit-LearnStatisticsTensorFlow
Reposted 2 Days Ago
Remote
3 Locations
126K-196K Annually
Mid level
126K-196K Annually
Mid level
Digital Media
As a ML Data Engineer II, you'll design and develop data pipelines to extract, enrich, and process metadata. You'll work with teams to deliver scalable metadata solutions and maintain systems at scale, ensuring data accuracy and quality through automation.
Reposted 2 Days Ago
Remote
United States
Junior
Junior
Business Intelligence • Consulting
The Senior Consultant in Data & Analytics leads clients on their analytics journey, collaborating on strategic visions and implementing initiatives. Responsibilities include analyzing data patterns, creating predictive models, generating insights through visual analytics, conducting gap analyses, and designing data flows.

Featured Jobs

3 Days Ago
Remote
United States
Senior level
Senior level
Information Technology • Other
As a Senior Machine Learning Engineer at Concurrency, you'll design and engineer ML systems, collaborating with data science teams to solve diverse customer problems. You'll leverage your expertise in supervised, unsupervised, and deep learning, using tools like Python and SQL, while influencing project direction and designing production solutions in a cloud development environment.
6 Days Ago
Remote
United States
165K-185K Annually
Junior
165K-185K Annually
Junior
Financial Services
The Applied Scientist will apply advancements in AI technologies such as LLMs, CV, and NLP within the estate planning sector. Responsibilities include fine-tuning and integrating AI models, building Q&A frameworks, and collaborating with engineers to enhance AI quality in production systems.
Reposted 12 Days Ago
Remote
USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Big Data • Internet of Things • Software
You will lead a team to innovate in natural language processing, big data, and artificial intelligence, creating technologies that change digital interaction. This role demands creativity, strong collaboration skills, and the ability to develop prototypes rapidly.
Top Skills: Artificial IntelligenceComputer VisionData ScienceDeep LearningMachine LearningNatural Language Processing
12 Days Ago
Remote
United States
153K-245K Annually
Senior level
153K-245K Annually
Senior level
Cloud • Information Technology • Software
The Machine Learning Architect will design and execute machine learning projects from proof-of-concept to deployment, architecting solutions on cloud platforms such as AWS, GCP, and Azure. The role involves collaborating with business representatives, managing all project phases, and ensuring technical excellence in machine learning delivery while staying current with advancements in the field.
Reposted 13 Days Ago
Remote
2 Locations
Senior level
Senior level
Software
The Head of Applied AI will lead the Applied AI Research team in developing innovative AI technologies for the Descript product. Responsibilities include managing research projects, mentoring team members, collaborating on product integration, developing research strategies, and representing the company at events.
Reposted 16 Days Ago
Remote
USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Computer Vision • eCommerce • Retail • Analytics • Generative AI
As a Staff Machine Learning Engineer, you will design and develop scalable ML platforms and services, define and maintain Machine Learning data pipelines, productionize models, optimize performance, automate workflows, and promote best software engineering practices. You'll collaborate with cross-functional teams to drive ML roadmap and architectural decisions while improving productivity through shared tools.
Reposted 17 Days Ago
Remote
United States
Mid level
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
As a Machine Learning Optimization Evangelist, you will educate the ML community on optimizing their training and inference workloads. Your role includes publishing technical blog posts, contributing to documentation, speaking at conferences, producing webinars, and collaborating with strategic partners to enhance the usage of Hugging Face models on various compute platforms.
Top Skills: AIAmdAWSAzureCloudflare,NvidiaCodingDocumentationGaudiGCPGitInferentiaIntelMachine LearningOpen-SourcePythonTpu
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