Senior Machine Learning Engineer

Location: United States, remote

Salary: $200,000–$360,000 annually

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation. This posting is for future opportunities and adds successful applicants to a candidate network.

What you will do

• Design, build, and own end-to-end machine learning pipelines from data preprocessing and experimentation through production deployment and large-scale inference.
• Debug production ML systems, addressing performance regressions, data drift, latency, and reliability issues.
• Partner with data scientists to turn research prototypes into robust, maintainable production code.
• Collaborate with infrastructure and MLOps teams on platform integration, dependencies, and compute and storage efficiency.
• Drive experimentation on model architectures, training approaches, and feature engineering using metrics and A/B testing.
• Mentor junior engineers and maintain technical documentation for model pipelines.

Requirements

• 5+ years of hands-on experience building and shipping machine learning systems in production.
• Strong proficiency in Python and experience with TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
• Knowledge of model selection, feature engineering, evaluation metrics, cross-validation, and ML-specific debugging.
• Experience with data pipelines, experiment tracking, model serving, Docker, and Kubernetes, or the ability to learn quickly.
• Ability to collaborate with data science, product, and infrastructure teams and communicate technical trade-offs to non-technical stakeholders.
• Comfort working in remote or distributed environments with asynchronous communication and clear documentation.

Culture & Benefits

• Remote work in a distributed environment.
• Asynchronous communication and a strong focus on clear documentation.
• Opportunity to be considered for future machine learning engineering roles through the candidate network.