Job Description
Who We Are
We exist to unlock human potential.
Too often, AI drains it—drains budgets, drains energy resources, drains ownership of data. OpenTeams was founded to change that. We build AI that empowers. Our models are energy-efficient, cost-effective, and fully yours.
Our ethos is open source. That means freedom, trust, and accountability are built into every line of code. We reinvest 3% of our profits back into the open-source community, because we believe tech is most powerful when it serves everyone.
At our core, we value freedom, teamwork, accountability, and uncompromising quality. If you want to fight Goliath, and shape tools that set people free, OpenTeams is the place to do it.
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
- 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.
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.
We invest in curiosity, creativity, and ownership. That means you’ll be trusted to take big swings, supported to learn fast, and celebrated for bold thinking.
