Top Hybrid Machine Learning Engineer Jobs

The Senior ML Engineer will develop LLM-based applications, predictive models for patient outcomes, and evaluation frameworks to optimize AI in healthcare.

The ML/AI Engineer will define machine learning direction, develop automated pipelines, integrate models, and collaborate with product teams to solve user problems.

The role involves developing ML-based planning algorithms for autonomous trucks, ensuring safety checks, real-time operation, and keeping up with research. Requires strong communication and collaboration.

The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

Design and productionize algorithms and regression models for real-time bidding and conversion prediction; apply privacy-preserving clustering to conversational data; analyze data to improve ad matching; conduct research, form hypotheses, and communicate findings to technical and non-technical stakeholders.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

Lead development and productionization of ML and LLM-based systems for personalization, recommendation, and credit/financial predictions. Perform exploratory analysis, fine-tune/adapt foundation models, partner with engineering to deploy scalable low-latency models, implement monitoring and drift detection, and measure impact via experimentation while following responsible AI practices.

Lead technical workstreams to design, build, and deploy scalable ML/NLP systems. Develop data pipelines, productionize models, mentor engineers, and collaborate cross-functionally to deliver high-quality, cloud-native solutions.

The ML Engineer will develop and enhance machine learning models for credit decisioning, drive technical innovation, and collaborate across teams to deliver impactful solutions for small businesses.