We are looking for Scientific / ML Engineer candidates for a project delivered through the hiring partner.

What you'll do

Guide research and engineering teams to close knowledge gaps and improve AI model performance in machine learning and scientific computing, model training and evaluation, and numerical and scientific software topics.
Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to machine learning and scientific computing problems.
Evaluate machine learning and scientific computing tasks and solutions and provide clear, written technical feedback.
Design and evaluate technical tasks covering model training, experiment design, data pipelines and scientific simulations, with runnable reference solutions.
Develop rubrics to assess the methodological soundness, correctness and reproducibility of ML and scientific work.
Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

What you need

4+ years of dedicated professional or research experience in machine learning, data science or scientific computing at a recognized, top-tier organization or research university.
Production or research experience with PyTorch, JAX or TensorFlow, and strong Python (NumPy, pandas, scikit-learn).
Ability to engage reliably for at least 20 hours/week during weekdays.
Strong written communication skills and the ability to explain complex technical decisions clearly.

Publications, open-source contributions or shipped ML systems are a strong plus.
Demonstrable career progression.

Project and contracting process: the hiring partner. Applications continue on the provider's website.

This role pays $90–$140/hr, for 20 h/week. The work is remote. That is about 130% above the $50 an hour median for AI & data roles open now.

Open to candidates in United States. With a profile, Tier1 checks your country and languages against this role and every other before you apply.