Note: The job is a remote job and is open to candidates in USA. OpenTeams helps enterprises and governments build AI systems they can control, govern, and evolve. The Senior Machine Learning Engineer will support a strategic client engagement by developing and optimizing deep-learning models for customer behavior prediction, improving features and architectures, optimizing training pipelines, and collaborating with client teams.
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
- Remote (U.S Strong Preference// W. Hemisphere Timezone required)
- Authorized to work where they live
- 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
- 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
- Career framework provides a pathway and recognition of increased impact
- Collaboration with global experts
- Contribution to open source projects
- Opportunities to learn and develop skills
- Supported to learn fast
Company Overview