Staff AI/ML Research Engineer - Production-Ready Innovator

Archer; San Jose (CA); On-site; USD 190,000 - 240,000; Full time

Job summary

Archer in San Jose, California is seeking a Staff AI Research Engineer to develop and integrate cutting-edge AI/ML solutions for scalable, production-ready systems.

The role demands an MS/PhD in CS/CE with AI/ML focus, strong framework experience (PyTorch/TensorFlow), and deep knowledge of transformer architectures. You will work with a team to push research into deployment and stay ahead of ML innovations.

Qualifications

• MS or PhD in CS/CE with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems.
• Familiar with good SW practices and development, including code quality and version control.
• Very strong with ML frameworks such as PyTorch or TensorFlow.
• Good understanding of Transformer architectures and related topics.
• Strong ability to debug and determine AI model requirements.

Responsibilities

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development from data needed for training, architecture, input/output representations, evaluation, and deployment.
• Collaborate with researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership concisely and convincingly.
• Stay current with the latest AI/ML developments and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

Skills

PyTorch/TensorFlow

Transformer models

Debug ML models

Research methodology

Data experimentation

Education

MS/PhD in CS/CE (AI/ML)

Tools

Git

Job description

Archer in San Jose, California is seeking a Staff AI Research Engineer to develop and integrate cutting-edge AI/ML solutions for scalable, production-ready systems.

The role demands an MS/PhD in CS/CE with AI/ML focus, strong framework experience (PyTorch/TensorFlow), and deep knowledge of transformer architectures. You will work with a team to push research into deployment and stay ahead of ML innovations.