ZipRecruiter

Log In

1

Patterned Learning Ai Jobs (NOW HIRING)

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

... AI patterns (tool calling, planning, memory, reflection) Experience with LangChain or similar agent orchestration frameworks Solid understanding of RAG architectures Experience with vector databases ...

ECS

AI Engineer

Springfield, VA · On-site

... Machine Learning (AI/ML) solutions. Position Description As an AI Engineer, you will leverage ... pattern-of-life analysis, and remote sensing change detection. You will manage the entire AI/ML ...

Cox Automotive

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with ...

Cox Automotive

Machine Learning Lead Engineer

Riverdale, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with ...

Cox Automotive

Machine Learning Lead Engineer

Conley, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with ...

Cox Automotive

Machine Learning Lead Engineer

Smyrna, GA

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with ...

next page

Showing results 1-20

All JobsPatterned Learning Ai Jobs

Patterned Learning Ai information

See salary details

$26

$40

$69

How much do patterned learning ai jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for patterned learning ai in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.

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.
More about Patterned Learning Ai jobs
What cities are hiring for Patterned Learning Ai jobs? Cities with the most Patterned Learning Ai job openings:
What states have the most Patterned Learning Ai jobs? States with the most job openings for Patterned Learning Ai jobs include:
What job categories do people searching Patterned Learning Ai jobs look for? The top searched job categories for Patterned Learning Ai jobs are:
Patterned Learning Ai jobs near you
Infographic showing various Patterned Learning Ai job openings in the United States as of June 2026, with employment types broken down into 53% Full Time, 45% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.
Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI

Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI

Scale AI

Seattle, WA • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. As a Senior/Staff Machine Learning Engineer on the General Agents team, you will design, build, and deploy production-ready AI agents that solve high-impact enterprise problems, working across the full agent lifecycle.
Responsibilities:
• Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
• Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
• Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
• Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
• Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.
Qualifications:
Required:
• 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
• Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
• Experience building systems that integrate models with external tools, APIs, databases, and services.
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.
Preferred:
• Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
• Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
• Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.
• Experience deploying ML systems in cloud environments and operating them at scale.
• Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
• Interest in shaping the future of general-purpose enterprise agents and their real-world impact.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Apply