Top Machine Learning Jobs

As a Machine Learning Engineer, you will design, develop, and deploy voice and digital agents to manage customer interactions, focusing on reliability and efficiency.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

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

The Staff Machine Learning Engineer will architect and scale ML pipelines for clinical decision-making, ensuring technical standards and global collaboration.

Join Sajix as a Machine Learning Engineer Trainee to assist in building and deploying ML models for healthcare solutions, collaborating with data scientists, and gaining hands-on experience.

The Senior Machine Learning Engineer will enhance HP's retrieval systems and recommendation algorithms, focusing on AI-driven user interactions and system performance improvements.

As a Senior Machine Learning Scientist, you will develop multimodal foundation models using large-scale single-cell datasets to advance drug discovery, applying deep learning methods and collaborating with biologists and engineers.

Leading the development of ML models for drug discovery, collaborating with multidisciplinary teams, and managing team members while ensuring data-driven decision-making.

Lead ML projects, guiding technical direction and platform capabilities. Collaborate across teams to deliver production ML systems impacting customers. Advocate for AI-first tools and mentor engineers.

Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

Develop robotic welding solutions using machine learning and computer vision. Lead algorithm implementation, oversee research, and mentor junior engineers.

The Machine Learning Scientist will use insitro's TherML platform to develop oligonucleotide designs and collaborate across teams for drug discovery.

The Principal AI/ML Engineer performs technical analysis and deep data analysis, designs AI solutions, builds data pipelines, deploys models and solutions using cloud technologies, and mentors junior engineers.

Develop ML systems for quantum computing, including large-scale training, optimizing GPU kernels, collaborating on data representation, and driving best practices in ML experimentation.

The Applied ML Engineer will design data collection campaigns, develop ML pipelines, analyze sensor data, and collaborate with teams to enhance safety and productivity metrics for wearable solutions.

The Machine Learning Engineer will develop Deep Learning technologies for Computer Vision, SAR, and Geospatial Exploitation, impacting U.S. government issues.

Design and build machine learning models for Zillow's product features, optimize AI components, and mentor engineers within a cross-functional team.

The Machine Learning Engineer will rotate across teams, building, deploying, and monitoring ML models for streaming, sports, and news, using AWS and other AI platforms.

As a Senior Machine Learning Engineer, you will design and train ML models for logistics, manage their production deployment, and optimize their performance while collaborating with the data science team.

As a Principal Machine Learning Engineer, you'll develop advanced ML solutions using LLMs and Knowledge Graphs, leading teams and driving innovation in AI technologies for improved customer experiences.

Drive the vision and development of machine learning models and algorithms, collaborating with teams and deploying solutions for business insights.

Lead enterprise-scale AI/ML strategy and architecture, develop novel ML solutions for complex problems, guide organization-wide ML practices and standards, influence technical decisions, and build and lead high-performing cross-functional ML teams to drive innovation and business impact.

The Senior Machine Learning Engineer will develop and deploy AI agents for regulatory analytics and data governance, ensuring compliance and effective risk management.

The role involves researching and developing probabilistic models for multi-sensor fusion and multi-target tracking to enhance real-time airspace awareness systems, as well as transitioning algorithms into production-ready systems.