Senior Machine Learning Engineer

Foodingree; Santa Ana (CA); Hybrid; USD 162,000 - 198,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Employee assistance program

Flexible schedule

Relocation assistance

Retirement plan

Tuition reimbursement

Job summary

Foodingree is hiring a Senior Machine Learning Engineer to design, develop, and deploy advanced AI features for production web applications, spanning computer vision, LLM-powered apps, and recommendation systems. You will architect AI agent systems, optimize retrieval and ranking, build evaluation frameworks, and ensure reliability, latency, and scalable deployment in a hybrid Santa Ana environment.

Candidates should have 5+ years in ML or software engineering, strong Python, PyTorch/TensorFlow,

Qualifications

• Bachelor’s or Master’s degree in Computer Science, ML, Engineering, or a related field.
• 5+ years of professional experience in machine learning, software engineering, or applied AI with production ownership.
• Strong Python programming and production-quality software practices.
• Deep understanding of ML and DL fundamentals: training, optimization, evaluation, generalization.
• Hands-on experience with PyTorch, TensorFlow, or equivalent frameworks.
• Experience with computer vision and practical ML applications, and with LLM-powered apps.

Responsibilities

• Design, develop, and optimize ML algorithms and intelligent systems for real-world apps (vision and recommendations).
• Architect AI agent systems, including multi-agent orchestration, tool calling, and RAG workflows.
• Develop and optimize recommendation and ranking algorithms to improve personalization and UX.
• Implement model evaluation frameworks, benchmarks, regression testing, and performance metrics.
• Improve model accuracy, reliability, latency, and computational efficiency.
• Build grounding systems connecting AI reasoning to verified data sources.
• Design and optimize retrieval pipelines and structured data retrieval to reduce hallucinations.
• Create data processing and monitoring dashboards to drive model improvements.
• Develop frontend and backend components, APIs, databases, and architectures to enable AI features in production.
• Deploy, maintain, and optimize AI models and services and ensure system reliability and scalability.

Skills

Production software ownership

Python programming

ML fundamentals

LLM-powered applications

Agent orchestration

Retrieval strategies

Education

Bachelor’s or Master’s degree in Computer Science/ML/Engineering

Tools

Python

PyTorch

TensorFlow

Docker

Linux

AWS

GCP

Hugging Face

LangChain

LlamaIndex

React

TypeScript

FastAPI

GPU-based inference

RAG

LLMs

Job description

Foodingree is hiring a Senior Machine Learning Engineer to design, develop, and deploy advanced AI capabilities for production web applications. The role spans machine learning, computer vision, LLM-powered applications, AI agents, and recommendation systems, with a focus on reliability, evaluation, and scalable deployment.

Key Responsibilities

• Design, develop, and optimize machine learning algorithms and intelligent systems for real-world applications, including computer vision and personalized recommendation systems.
• Architect and build AI agent systems, including multi-agent orchestration, tool calling, workflow automation, RAG, and LLM-powered applications.
• Develop and optimize recommendation and ranking algorithms to improve personalization, relevance, and user experience across the platform.
• Implement comprehensive model evaluation frameworks, automated benchmarks, regression testing, and performance metrics.
• Continuously improve model accuracy, reliability, latency, and computational efficiency.
• Build grounding systems that connect AI agent reasoning to verified data sources.
• Design and optimize retrieval pipelines, hybrid search, and structured data retrieval to improve response accuracy and reduce hallucinations.
• Create data processing and representation strategies, establish quality metrics and monitoring dashboards, and build feedback loops that use user interactions and evaluation datasets to improve model performance.
• Design and develop frontend and backend components, APIs, databases, and application architectures to integrate AI features into production web applications.
• Deploy, maintain, and optimize AI models and software services.
• Support system reliability, scalability, observability, and efficient resource utilization.
• Investigate emerging AI technologies, evaluate competing approaches, and translate validated research into practical production solutions.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related technical field.
• 5+ years of professional experience in machine learning, software engineering, or applied AI, with demonstrated ownership of production systems.
• Strong programming skills in Python and experience building maintainable, production-quality software.
• Deep understanding of machine learning and deep learning fundamentals, including training, optimization, evaluation, and generalization.
• Hands-on experience with PyTorch, TensorFlow, or equivalent deep learning frameworks.
• Strong experience with computer vision and practical machine learning applications.
• Proven experience designing and building LLM-powered applications and AI agent systems.
• Strong understanding of agent orchestration, tool integration, RAG, retrieval strategies, and LLM application architectures.
• Ability to design model evaluation methodologies, construct high-quality evaluation datasets, establish benchmarks, and analyze model performance.
• Solid software engineering fundamentals, including data structures, algorithms, API design, database systems, testing, and debugging.
• Experience with full-stack or backend development and deploying applications in production environments.
• Familiarity with cloud infrastructure, Docker, Linux, distributed systems, and GPU-based inference.

Technologies

Python, PyTorch, TensorFlow, Docker, Linux, GPU-based inference, AWS, GCP, Hugging Face, LangChain, LlamaIndex, React, TypeScript, FastAPI, multimodal AI, RAG, LLMs

Preferred Qualifications

• Experience developing multi-agent systems and complex agentic workflows.
• Experience with advanced retrieval architectures, hybrid search, structured query generation, and data grounding.
• Familiarity with Hugging Face, LangChain, LlamaIndex, or similar AI development frameworks.
• Experience with React, TypeScript, FastAPI, or comparable full-stack technologies.
• Experience with AWS, GCP, model serving, and scalable inference infrastructure.
• Experience building automated evaluation pipelines, model monitoring dashboards, and continuous improvement workflows.
• Experience integrating multimodal AI systems into production applications.

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible schedule
• Relocation assistance
• Retirement plan
• Tuition reimbursement

Compensation and Location

Salary: USD 180,000 per year (up to $180,000.00 per year).

Work location: Hybrid remote in Santa Ana, CA 92708.

Ability to commute: Santa Ana, CA 92708 (preferred).