Top Remote Machine Learning Jobs

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

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

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

The role involves designing machine learning models for ad forecasting, collaborating with teams to enhance systems, and applying AI for innovative solutions.

The role involves leading a team to develop and optimize ML models and systems at scale, ensuring reliability and operational excellence while collaborating across various departments. Responsibilities include hiring, coaching, and guiding technical decisions.

Design, develop, train, and deploy machine learning and deep learning models. Perform feature engineering and data processing, apply supervised/unsupervised/reinforcement techniques, and integrate models into production using CI/CD, containerization, cloud platforms, and MLOps practices.

As a Senior Machine Learning Engineer, you'll design ML systems for ad optimization, research strategies, analyze user behavior, and collaborate on innovative solutions.

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.

The role involves defining and building ML capabilities, creating production systems, and managing data strategy while collaborating with engineers and leading an ML team.

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 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 Junior Machine Learning Engineer, you will assist in model training, data collection, and evaluate AI applications, collaborating with ML engineers and researchers.

Design and deliver customer experience solutions using machine learning techniques, analyze customer data, implement ML algorithms, and automate processes.

As a Senior Machine Learning Engineer, you'll lead the development of a neural welding simulator, integrating research and production to enhance robotic systems. Responsibilities include building predictive models, collaborating with reinforcement learning engineers, and translating prototypes into maintainable production code.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

The role involves applying machine learning techniques to circuit design, analyzing datasets, building and optimizing models, and collaborating with teams on various projects in VLSI and circuit design.

Define ML strategy and build production ML systems end-to-end (data pipelines, training, evaluation, inference). Own data strategy, integrate ML with product/backend, write production-quality code, and recruit and mentor the ML team while setting technical direction.

Lead and build the companys ML function: define strategy, design production ML systems and infrastructure, own data and evaluation practices, write production code, integrate ML into products, and recruit and mentor an expanding ML team.

Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.

Develop and maintain machine learning solutions, collaborating on frameworks, adopting best practices, and mentoring new hires while ensuring operational excellence in production systems.

As a Machine Learning Engineer at Shipwell, you'll build and scale AI-powered logistics solutions, maintaining data pipelines and ML infrastructure across the organization.

The Forward Deployed ML Engineer will integrate AI/ML models into clinical software, assist in model fine-tuning, and engage with clients to ensure success in healthcare deployments.

The Senior Machine Learning Engineer will implement and enhance ML solutions, working closely with various business departments to deliver scalable applications and improve MLOps practices.

The Machine Learning Engineer will develop software solutions, optimize data pipelines, and deploy machine learning models using cloud platforms and best practices.