• Engineer, design, implement, and improve machine learning systems and tools that enable AI research.

• Develop platform and framework solutions that support research teams throughout the machine learning lifecycle.

• Collaborate with scientists, engineers, and cross-functional partners to support model training, data collection, evaluation, and research deployment.

• Contribute code across the full development lifecycle, from experimentation through production-ready implementation.

• Troubleshoot machine learning systems, infrastructure, and research workflows.

• Write clean, scalable, and robust code that supports research initiatives and product integration.

We’re excited to connect with entry level candidates and early-career professionals who are passionate about Machine Learning and AI. This role is ideal for candidates with a degree in Machine Learning, Artificial Intelligence, Computer Science, Computer Engineering, or a related field, along with up to 1 year of professional experience. Internship, research, academic project, and open-source experience are highly valued., * Experience developing machine learning algorithms or machine learning infrastructure.

• Proficiency in Python and PyTorch and/or C/C++.

• Exposure to deep learning environments supporting AI/ML model development.

• Strong software engineering fundamentals with the ability to produce maintainable, high-quality code.

• Ability to work effectively within highly collaborative and interdisciplinary technical teams.

Preferred Qualifications

• Demonstrated software engineering accomplishments through professional experience, coding competitions, personal projects, or open-source contributions.

• Experience contributing to publicly available repositories or widely used GitHub projects.

• Exposure to large-scale machine learning frameworks or research environments.

• Advanced degree in a related technical discipline is a plus.

Skills

• Machine Learning

• Deep Learning

• Python

• PyTorch

• C++

• Machine Learning Infrastructure

• AI Systems Development

• Research Engineering

• Framework Development

• Data Collection & Evaluation

• Debugging & Troubleshooting

• Software Development

Education

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field required.

• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field preferred.

LI-LH1 #INDPRO