Top AI & Machine Learning Jobs

The First Officer assists the Captain in flight operations, ensuring safety and compliance with regulations, and supports the clinical team with process improvements.

As a Machine Learning Engineer, you will fine-tune transformer models, deploy machine learning solutions, and work with cross-functional teams on innovative projects.

As a founding ML research engineer, you'll design AI-powered engineering systems, implement ML algorithms, and integrate deep learning techniques while collaborating with experts in the field.

Lead enterprise AI-native transformation by designing and deploying multi-agent systems, agent orchestration, and RAG-based workflows. Work with executives to translate strategy into production-grade prototypes, scalable accelerators, and human-in-the-loop governance to improve portfolio management, delivery orchestration, and operational intelligence.

The Research Engineer will enhance the core research product by shaping model architecture and training strategies, focusing on production-ready research.

The Data Scientist Level 3 will use mathematical, statistical, and computational skills to analyze large datasets, derive insights, and communicate results to both technical and non-technical audiences.

As a ML Engineer focused on NLP at Avoma, you will improve the Insights Engine, develop new models with LLMs, maintain code quality, and stay updated on NLP advancements.

As a Staff ML Engineer, you'll lead complex model quality improvements in clinical AI, spanning research and engineering, optimizing performance under high compliance conditions.

Own the end-to-end vision and roadmap for Boulevard's AI Receptionist. Define how AI handles voice and text client interactions, design handoffs to humans, set success metrics (autonomous resolution, CSAT, adoption, retention), drive business outcomes and pricing, gather deep customer insight from self-care businesses, and lead cross-functional teams to deliver trustworthy, high-quality AI conversational experiences.

Lead and grow the US technical cloud, data and AI delivery team, govern deployment quality and standards, support post-sale expansion and commercial scoping, and build operating playbooks and capacity planning to scale enterprise GCP and AI solutions.