Senior Machine Learning Engineer

Location: United States, remote

Typical annual compensation for this specialist-level market: $200,000–$360,000

Company

hirify.global is a specialist executive search firm focused on hiring leaders who help organizations navigate AI transformation.

What you will do

• Design, build, and maintain production machine learning systems and pipelines for business-critical applications at scale.
• Own model deployment across data preprocessing, feature engineering, evaluation, versioning, monitoring, and retraining.
• Translate algorithms and research experiments into robust, performant production code with data science and research teams.
• Drive decisions around model serving, feature stores, experiment tracking, orchestration, and ML observability.
• Optimize ML system latency, throughput, reliability, and operating costs.
• Collaborate with platform, product, analytics, and engineering teams while contributing to ML standards and documentation.

Requirements

• 4+ years of hands-on machine learning engineering experience and a track record of shipping ML systems to production.
• Strong knowledge of model training, evaluation, feature engineering, and production ML challenges.
• Fluency in Python and experience with PyTorch, TensorFlow, scikit-learn, and MLOps tooling.
• Experience designing and optimizing reliable, scalable, and maintainable data pipelines and ML infrastructure.
• Ability to work cross-functionally with data scientists, engineers, and product teams.
• Experience with production monitoring, debugging, incident response, and iterative system improvements.

Culture & Benefits

• Remote work from the United States.
• Permanent employment opportunity.
• Candidate network consideration for future relevant opportunities rather than one specific open role.