Research Engineer (Machine Learning & EdTech)

• Lead engineering research projects; design, implement, and optimize machine learning/deep learning algorithms using Python.
• Drive projects from initial concept through implementation to final publication in reputable conferences.
• Teach and mentor students and new hires on ML best practices, and contribute to curriculum creation.
• Partner with the research team to provide technical expertise across various engineering domains.
• Maintain the flexibility to work early morning hours to align with team and student timelines.

Do you have experience in Python?, We are seeking a highly driven Research Engineer with a PhD background to bridge the gap between advanced machine learning research and education. In this role, you will develop deep learning projects, publish at top-tier conferences, and teach complex technical concepts to students and internal team members., * PhD (or Doctorate) in Engineering, Computer Science, or a closely related field.

• Minimum 1 year of total work experience (preferred), with a proven track record of participating in research and publishing papers.
• Advanced Python programming skills and deep, hands-on knowledge of machine learning algorithms.
• Exceptional communication skills with a natural ability to teach complex concepts simply. Self-motivated and highly organized to thrive in a remote setting.

We are a pioneering edtech research organization dedicated to teaching next-generation AI and research skills. Founded by a team of computer science PhDs from UC Berkeley and Northeastern University, we foster a collaborative, remote-first environment centered on continuous learning, mentorship, and high-impact academic publishing.