Senior Research Engineer

Confidential; United States; On-site; USD 180,000 - 290,000; Full time

Job summary

Confidential seeks a Senior Research Engineer to lead AI/ML research, development, and production deployment across advanced models and AI-driven applications. You will research, prototype, and scale solutions, collaborating with engineers, data scientists, product teams, and stakeholders.

The role emphasizes hands-on engineering, experimentation, and turning research into practical systems, including AI agents, embeddings, and predictive analytics in enterprise contexts.

Qualifications

• Minimum 5+ years in AI/ML, Machine Learning Engineering, Data Science, or related fields.
• Hands-on experience developing and deploying AI/ML solutions.
• Strong knowledge of Generative AI, LLMs, RAG, prompt engineering, AI agents, and model evaluation.
• Proficiency with Python and DL frameworks (PyTorch, TensorFlow) and cloud AI/ML platforms.

Responsibilities

• Research and develop advanced AI and Machine Learning models and solutions.
• Design, build, test, and deploy AI/ML applications for real-world business problems.
• Work with Generative AI, LLMs, NLP, deep learning, computer vision, and predictive analytics.

Skills

AI/ML

Generative AI

LLMs

Deep learning

MLOps

APIs

Data pipelines

Education

CS/AI/ML degree

Tools

Python

PyTorch

TensorFlow

Job description

We are looking for a Senior Research Engineer to lead the research, development, and implementation of advanced Artificial Intelligence and Machine Learning solutions. This role combines AI research, hands‑on engineering, experimentation, and production deployment to solve complex business and technical problems.

The ideal candidate has strong experience in AI/ML, Generative AI, Large Language Models (LLMs), deep learning, machine learning algorithms, and AI-driven applications, with the ability to turn research ideas into practical, scalable solutions.

Key Responsibilities

• Research and develop advanced AI and Machine Learning models and solutions.
• Design, build, test, and deploy AI/ML applications for real‑world business problems.
• Work with Generative AI, LLMs, NLP, deep learning, computer vision, and predictive analytics.
• Develop and evaluate machine learning models, algorithms, and AI architectures.
• Experiment with emerging AI technologies and identify opportunities for innovation.
• Develop AI prototypes and transform successful research concepts into production‑ready solutions.
• Build and improve AI agents, RAG solutions, embeddings, model evaluation, and AI‑powered automation.
• Work with large datasets to develop, train, fine‑tune, and evaluate AI/ML models.
• Collaborate with software engineers, data scientists, product teams, and business stakeholders.
• Establish best practices for AI model performance, scalability, security, and responsible AI.
• Stay current with the latest developments in AI, ML, Generative AI, and foundation models.
• Mentor junior engineers and contribute to the organization's AI technical strategy.

Required Experience

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 5+ years of experience in AI/ML, Machine Learning Engineering, Data Science, or related areas.
• Strong hands‑on experience developing and deploying AI/ML solutions.
• Experience with Generative AI, LLMs, RAG, prompt engineering, AI agents, and model evaluation.
• Strong knowledge of machine learning and deep learning frameworks such as Python, PyTorch, TensorFlow, or similar technologies.
• Experience with cloud AI/ML platforms and production machine learning environments.
• Understanding of MLOps, model deployment, APIs, data pipelines, and scalable AI architectures.
• Strong analytical, research, problem‑solving, and communication skills.

Preferred Experience

• Experience conducting AI/ML research and publishing or presenting technical work.
• Experience with fine‑tuning and adapting foundation models.
• Experience with vector databases, knowledge retrieval, and enterprise AI applications.
• Experience designing AI solutions for supply chain, warehouse, logistics, manufacturing, or other enterprise environments.
• Experience leading AI projects from research and proof of concept through production deployment.

What Success Looks Like

The successful candidate will help build the organization's next generation of AI capabilities, turning innovative research into practical solutions that improve automation, decision‑making, productivity, and business performance.