Note: The job is a remote job and is open to candidates in USA. OpenTeams helps enterprises and governments build AI systems that they can control, govern, and evolve themselves. The Senior Machine Learning Engineer will support a strategic client engagement focused on deep learning model development for customer behavior prediction, enhancing and optimizing models across the machine learning lifecycle. The role includes feature engineering, research-informed architecture improvements, training pipeline optimization, collaboration with client teams, documentation, and code reviews.
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
Skills
- Authorized to work where they live
- W. Hemisphere Timezone required
- 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
- Remote (U.S Strong Preference
- 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
Benefits
- 100% employer paid medical premiums for employees
- Self-managed PTO with a minimum time off requirement
- Opportunities to collaborate with global experts
- Contribute to open source projects
- Career framework provides a pathway and recognition of increased impact
- Supported to learn fast
- Celebrated for successful collaboration
Company Overview