Senior Machine Learning Engineer

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible.

Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves.

If that sounds like your kind of work, we'd like to meet you. Job Title: Senior Machine Learning Engineer Location : Remote (U. S Strong Preference// W. Hemisphere Timezone required) Work Authorization: Authorized to work where they live Salary Range: 145,000 - 250,000 USD (dependent on experience level and location)

About the Role

We're seeking a Machine Learning Engineer to join our team supporting a strategic client engagement focused on deep learning model development for customer behavior prediction. You'll work alongside client data scientists and engineers to enhance and optimize deep-learning models that drive business decisions at scale.

This role involves hands-on work across the ML lifecycle—from feature engineering to model architecture improvements—within a collaborative, research-informed environment.

You'll have the opportunity to implement techniques from cutting-edge academic research while contributing to production systems that directly impact business outcomes.

Key Responsibilities

Develop and refine features for deep learning models, working with large-scale customer and behavioral datasets Implement model architecture changes informed by recent academic research (e.g., papers from NeurIPS and similar venues) Collaborate with client teams to understand business context and translate requirements into technical solutions Optimize model training pipelines for efficiency and scalability Doc