Top Machine Learning Jobs

As the Vice President, Applied AI/ML Lead, you will build production-grade machine learning models and develop end-to-end ML pipelines for commercial banking applications. You'll work with large-scale datasets, applying advanced statistical methods to solve business problems using machine learning and deep learning techniques.

The Senior Software Engineer will develop and implement machine learning models, collaborate with teams to deploy AI solutions, maintain ML pipelines, and stay updated with advancements in AI. Responsibilities encompass AI application development across Disney's segments.

The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.

As a Staff Machine Learning Engineer, you'll lead the development of AI solutions, working with application teams and data scientists to build a reliable AI infrastructure at Robinhood. You'll oversee high-impact projects for a centralized AI platform, ensure seamless integration, and drive the implementation of effective ML models and data access strategies.

In this role, you will design, build, and deliver machine learning models while collaborating with product and data science teams. You will solve complex problems via application code, monitor models in production, and utilize cloud-based architectures. Your responsibilities include optimizing data pipelines and ensuring best practices in AI governance.

In this role, you will leverage strong test automation skills in Java or Python to test large-scale production systems. Responsibilities include scoping project requirements, building test cases, testing AI/ML models, analyzing test results, and reporting defects.

As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.

As a Senior ML Engineer at Curai Health, you will develop and enhance AI systems for patient and physician applications. You will fine-tune large language models, perform model evaluations, mentor team members, and collaborate across product, engineering, and clinical teams to generate impactful machine learning solutions.

The Senior Lead Machine Learning Scientist will develop and implement machine learning algorithms, focusing on deep learning for multimodal data problems. This role involves leading research projects, collaborating with cross-functional teams, and staying current with advancements in AI and machine learning.

The AI Center Technical Manager will lead a team of ML engineers, focusing on AI model deployment and operationalization. Responsibilities include developing frameworks for AI operations, overseeing the deployment of ML solutions, ensuring code quality through DevSecOps, and collaborating with data engineers and scientists. The role requires hands-on coding and leadership to foster team growth and innovative AI practices.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, enhance ML engineering platforms, implement ML Ops, and write production-ready code. You will collaborate with teams to deliver projects, participate in scrum meetings, and contribute to evaluating new technologies.

As a Machine Learning Researcher at Curai Health, you will drive innovation in telehealth by contributing to research-focused publications and product applications in primary healthcare. Collaborating with diverse experts, you will tackle complex healthcare challenges, mentor interns, and influence the direction of machine learning practices within the company.

The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.

As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for large datasets, implement ML Ops, write production-ready code, and collaborate with teams to deliver AI-enabled solutions in healthcare. You'll also research new technologies and contribute to the enhancement of ML engineering platforms.

As an AI Scientist, you'll be part of a core AI team focused on advancing state of the art AI models to impact drug discovery and clinical development. Responsibilities include developing new deep learning methods and collaborating with interdisciplinary experts, leveraging experience in AI innovations and publications in relevant fields.

The ML Postdoc Researcher will design and refine large language models, develop algorithms for generative tasks, and implement models on large datasets. Responsibilities also include collaborating with teams, staying informed on advancements in machine learning, and contributing to health data applications.

As a Senior Machine Learning Engineer, you will leverage your expertise to develop analytical and machine learning solutions focused on mitigating risk and fraud for Cash App. You'll collaborate with cross-functional teams to balance financial loss, regulatory risks, and enhance customer experiences, deploying updates regularly based on data-driven insights.