OpenTeams
Senior Machine Learning Engineer
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJul 19, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Machine Learning Engineer
Requirements and responsibilities
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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 haves
- 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
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