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Patterned Learning Ai Jobs in California (NOW HIRING)

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

AI's strategic objectives. Key Responsibilities: * Design, build, and maintain end-to-end ML ... Solid foundation in computer science fundamentals (data structures, algorithms, design patterns ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on leveraging machine learning to drive product value. They are ... design patterns). • BS degree in CS or related technical field. • Solid Experience with ML ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning ... design patterns). • BS degree in CS or related technical field. • Solid Experience with ML ...

Jade Global

ServiceNow Solution Architect - US

San Jose, CA

$73.75 - $97.25/hr

... patterns. Learning Platform Enablement Partner with engineering teams to translate business requirements into technical designs. Define technical architecture for AI-powered Learning including in ...

Jade Global

ServiceNow Solution Architect - US

San Jose, CA · On-site

$73.75 - $97.25/hr

... patterns. Learning Platform Enablement • Partner with engineering teams to translate business requirements into technical designs. • Define technical architecture for AI-powered Learning ...

Eightfold.ai

Machine Learning Engineer

Santa Clara, CA · On-site

$123K/yr

  • Medical

  • Dental

  • Vision

About Eightfold Eightfold is a global leader in AI-native enterprise talent platform, trusted by ... Understanding of distributed system design patterns and microservices architecture. * Demonstrable ...

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Patterned Learning Ai information

What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What is patterned learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.

What are popular job titles related to Patterned Learning Ai jobs in California?

For Patterned Learning Ai jobs in California, the most frequently searched job titles are:

What job categories do people searching Patterned Learning Ai jobs in California look for?

The top searched job categories for Patterned Learning Ai jobs in California are:

What cities in California are hiring for Patterned Learning Ai jobs?

Cities in California with the most Patterned Learning Ai job openings:

Patterned Learning Ai jobs near you
Infographic showing various Patterned Learning Ai job openings in California as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Machine Learning Engineer - GenAI, LLM, Agentic AI

Eightfold.ai

Santa Clara, CA • On-site

$153K - $225K/yr

Full-time

Medical, Dental, Vision

Re-posted 6 days ago

Job description

About Eightfold.ai:
Eightfold is a global leader in AI-native enterprise talent intelligence, trusted by the world's largest and most respected Fortune 500 organizations. Our platform is built from the ground up, operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. Backed by over $410M in funding and valued at $2B+, we are defining the next era of agentic talent systems.
What sets Eightfold apart is not just the technology and our mission, but the team behind it. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our engineers, product leaders, and go-to-market teams work closely together-in person and across functions-to build systems that scale in the real world. If you're excited to work on hard problems, move with urgency, and raise the bar every day, Eightfold is the place to build agentic systems that transform how the world works.
About the Team:
The AI Agents team at Eightfold.ai is at the forefront of developing intelligent, autonomous systems that will redefine talent management. We are building cutting-edge agentic AI that can proactively assist users, automate complex workflows, and provide personalized insights. Our work directly impacts millions of users and shapes the future of how people connect with opportunities.
Responsibilities:
  • Research, design, development, and deployment of advanced AI agents and agentic systems.
  • Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities.
  • Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence.
  • Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale.
  • Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions.
  • Diagnose and troubleshoot issues in complex distributed environments and optimize system performance.
  • Contribute to the team's technical growth and knowledge sharing.
  • Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products.
  • Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences.
  • Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution.

Qualifications:
  • Knowledge and passion in machine learning algorithms, GenAI, LLMs, and Agentic AI
  • Understanding of agent-based modeling, reinforcement learning, and autonomous systems.
  • Experience with large language models (LLMs) and their applications in Agentic AI.
  • Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch.
  • Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
  • Understanding of distributed system design patterns and microservices architecture.
  • Demonstrable Coding and Algorithms skills.
  • Excellent problem-solving and data analysis skills.
  • Strong communication and collaboration skills.
  • Bachelors o Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.
  • Min 2-5+ years of relevant machine learning work experience.

Preferred Qualifications:
  • Research experience in agentic AI or related fields.
  • Experience building and deploying AI agents in real-world applications.

Pay Transparency
Please note this role is categorized as hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zones determined by location.
Zone A Base annual salary range: $153,750 to $225,000 + discretionary bonus up to 15% + preIPO equity (stock options).
Hybrid Work @ Eightfold: At Eightfold, we believe our best work happens when we collaborate closely, learn from one another, and build together. We follow a hybrid work model that combines flexibility with a strong emphasis on in-person collaboration to foster innovation, culture, and rapid execution.
Employees based near our Santa Clara, London, Bangalore, and Noida offices are expected to work from the office three days per week, as we believe regular in-person engagement is essential to how we build high-impact products and strong teams.
Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status.
Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.
#LI-Hybrid

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