Senior Machine Learning Engineer

Foodingree is building advanced AI experiences for production web applications, bringing together machine learning, computer vision, LLM-powered agents, and recommendation systems to deliver more intelligent and personalized interactions. This hybrid role in Santa Ana, CA offers a compensation package up to $180,000/year and benefits that support long-term growth, learning, and stability.

What You’ll Work On

In this role, you will design, develop, and deploy AI systems that improve personalization and response quality across the platform. You will connect model performance with real-world reliability by building evaluation frameworks, retrieval pipelines, and production-grade services.

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

What You Bring

• 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 Python skills and experience delivering maintainable, production-quality software.
• Deep understanding of machine learning and deep learning, including model training, optimization, evaluation, and generalization.
• Hands-on experience with PyTorch, TensorFlow, or equivalent deep learning frameworks.
• Experience in computer vision and practical machine learning applications.
• Demonstrated 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.
• Proven ability to design evaluation methodologies, construct evaluation datasets, define benchmarks, and analyze model performance.
• Strong 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 You May Use

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

Benefits

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

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 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.

Work Location

Hybrid remote in Santa Ana, CA 92708. Commute preference: Santa Ana, CA 92708.