Top Machine Learning Jobs

Develop custom models and algorithms for large datasets, collaborate with stakeholders to leverage data for business decisions, and assess data sources and techniques.

The Machine Learning Research Engineer at Optiver will conduct research and develop deep learning models to improve trading strategies, while building robust pipelines and collaborating with other engineers.

As a Staff Machine Learning Engineer, you will enhance Coupang's search and discovery algorithms using ML, DL, and NLP to improve product relevance and user interaction.

Lead initiatives in model-based autonomous driving, developing end-to-end driving models and collaborating with cross-functional teams. Mentor senior engineers and influence technical direction.

Lead the development and strategy for machine learning algorithms in search and recommendation systems, focusing on personalization and deployment efficiency.

Lead the design and development of advanced recommendation systems and machine learning pipelines, optimizing performance for millions of users.

Lead the development and deployment of machine learning models, focusing on optimization and edge computing while collaborating with AI researchers and engineers.

The role involves developing AI-driven solutions for cybersecurity, focusing on machine learning pipelines, threat detection, and mitigation strategies against sophisticated cyber threats.

The role involves developing machine learning models for Netflix's Studio, collaborating with teams, and scaling ML solutions for data analytics.

As a Staff Machine Learning Engineer for Ads Growth, you will design ML models and pipelines for enhancing advertisers' experiences, mentor team members, and collaborate across functions to drive business growth.

The role involves designing, building, deploying, and refining machine learning models to solve real-world customer problems while collaborating with stakeholders and engineering teams.

As a Principal Machine Learning Engineer, you will design and develop machine learning applications, lead teams, and ensure project management excellence while engaging with clients.

Develop machine learning models to predict printability of complex CAD models, define data collection processes, and deploy models into production.

The engineer will design and maintain auto-bidding algorithms, optimize ad delivery systems, and collaborate on engineering projects for campaign performance.

The Sr. Machine Learning Engineer at Unity will design and implement auto-bidding algorithms, ensuring systems meet performance goals while leading project execution and collaborating with stakeholders.

Develop and deploy advanced machine learning models, lead ML systems development, mentor junior team members, and conduct data analysis.

Lead the Machine Learning team to develop AI systems for public sector. Provide technical direction, mentor engineers, and ensure operational excellence while collaborating with stakeholders.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.

Design, implement, and maintain ML solutions using AWS SageMaker. Develop end-to-end ML pipelines and collaborate on model deployment to enhance data-driven decision-making.

Collaborate on machine learning solutions, optimize models, maintain data pipelines, and implement best practices in machine learning and cloud infrastructure.

Develop AI/ML models and prototypes, preprocess datasets, collaborate with teams, and troubleshoot technical issues for scalable AI solutions.

Develop and optimize large-scale ML models and training pipelines for automating PCB layouts, collaborating on data pipeline design and novel architectures.

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

Develop ML models and pipelines for autonomous tractor initiative, improving system safety and performance in production environments.

Responsible for designing and implementing reinforcement learning algorithms, conducting experiments, and optimizing models for robotic applications, collaborating with multiple teams.