Top Remote Senior Level Machine Learning Jobs

The Senior ML Engineer will design evaluations for AI features, optimize pipelines, and ensure quality in ML systems while collaborating with cross-functional teams.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

Design and develop scalable machine learning systems for fraud insights, collaborating with teams to deliver high-quality ML infrastructure effectively.

Develop and deploy machine learning models for predictive analytics, automate risk assessments, and extract data using advanced AI techniques. Collaborate with teams to enhance the product portfolio with innovative solutions.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.

Implement and optimize production-ready analytics code, maintain Python repositories, research data sources, build predictive models, and collaborate with teams.

As a Principal ML Architect, lead technical strategy and client engagements, mentor ML engineers, and oversee project lifecycle in delivering complex AI systems.

As a Staff Applied Scientist, you will develop and deploy advanced credit and risk models, leveraging machine learning to optimize lending decisions. Collaborate with Product, Engineering, and Analytics teams to enhance OnePay's credit access and ensure responsible AI practices.