Top Machine Learning Jobs
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As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.
The Senior Machine Learning Engineer will design and implement complex machine learning models, conduct experiments, and develop scalable infrastructures. The role includes mentoring junior members and communicating project results to stakeholders while focusing on data quality and best practices.
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As a Senior Machine Learning Engineer, you will research, develop, deploy, and monitor ML models to enhance patient engagement and outcomes. You will collaborate with software engineers to create scalable software and infrastructure, translating business objectives into machine learning problems and analyzing user data to optimize treatment processes.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The MLOps Engineer will develop systems and APIs for inference and fine-tuning of large language models, implement runtime systems for production-level ML training, and collaborate with various teams for deploying and maintaining ML inference systems.
As a Director of Engineering in Machine Learning at Waymo, you will manage multiple teams, drive technical vision, and push the boundaries of deep learning to tackle complex autonomous driving challenges. Your focus will be on innovation in robotics while fostering collaboration across the organization.
Join Talroo as a Principal Machine Learning Scientist to scale and expand high-value business initiatives using cutting-edge AI technologies and A/B testing. Work with a top-tier team to improve job recommendation processes and provide real, measurable revenue impact. Ideal candidate will have a passion for technology and solid background in computer science.
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As an AI Scientist at WorldQuant, you will conduct research in Machine Learning to enhance investment processes, produce predictive signals, design deep learning architectures, and collaborate with investment professionals to optimize algorithms.
Lead the development and deployment of Generative AI-based features for Sybill's AI agents. Collaborate with product, engineering, and customer teams to enhance AI models for enterprise use. Engage with large language models to produce optimal outputs and stay updated on emerging trends.
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