Top Machine Learning Jobs

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.

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.

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

As a Senior Machine Learning Software Engineer, you will design, deploy, and optimize ML solutions in healthcare, working with AI scientists and ensuring compliance with regulations.

Design, train, and evaluate machine learning models to match patients with therapists, improving clinical outcomes and enabling tailored care.

The Senior Machine Learning Engineer will design and deploy ML models, analyze large datasets using PySpark, and collaborate across teams in a cloud environment.

As an AI/ML Engineer, you will develop and optimize machine learning models, collaborate with teams, and enhance mobile app features using AI techniques.

Develop and optimize machine learning models for search and recommendation systems, collaborating across teams and using advanced ML technologies.

The role involves defining and building the company's machine learning capabilities, designing production ML systems, owning data strategy, and partnering with engineers. Requires experience in ML system production and software engineering fundamentals.

The Staff Machine Learning Engineer will define and build ML capabilities, design production systems, and lead ML strategy in a high-growth AI cybersecurity company.

The VP AI/Machine Learning will define and implement machine learning capabilities in a high-growth cybersecurity company, focusing on strategy, infrastructure, and building production systems. The role involves defining ML applications, data strategy, and mentoring an ML team.