Senior Machine Learning Engineer - Client Facing

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

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
• Document approaches, findings, and technical decisions for knowledge sharing across teams
• Participate in code reviews and contribute to engineering best practices
• Required Skills & Experience
• Strong proficiency with a deep learning framework (e.g. Pytorch, tensorflow)
• Hands-on experience with feature engineering for predictive models
• Solid foundation in machine learning fundamentals (supervised learning, neural network architectures, optimization)
• Ability to read, understand, and implement techniques from ML research papers
• Python proficiency in a data science/ML context
• Comfortable working in ambiguous environments and adapting to unfamiliar tooling
• Nice to Have
• Experience with time-series or sequential modeling
• MLOps experience (model deployment, monitoring, pipeline orchestration)
• Familiarity with Google Cloud Platform or large-scale distributed training
• Background in causal inference or attribution modeling
• Experience working in consulting or client-facing technical role
• Grow With Us
• At OpenTeams, growth isn’t just about the company—it’s about you.
• We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. As your skills grow, our career framework provides a pathway and recognition of that increased impact.
• Opportunities aren’t limited by geography. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily.  That global perspective and diversity makes our solution more universal and robust.  We are committed to continuing to celebrate diversity on our team.