Top Senior Level Machine Learning Jobs
The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.
In this role, the Senior Manager of Machine Learning will lead a team focused on developing machine learning solutions for fraud prevention in the financial services sector. Responsibilities include team management, performance evaluation of models, and collaboration with various teams to enhance customer experience and business profitability.
As a Senior Machine Learning Engineer at TrueML, you'll architect and implement ML infrastructure, develop production-grade ML pipelines, and maintain systems for real-time and batch decision-making. You'll collaborate with data engineers and data scientists to scale algorithms and ensure robust deployment of machine learning models.
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Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.
The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.
As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.
As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.
Senior Research Developer responsible for designing and implementing large-scale recommendation systems to personalize content recommendations for millions of anime fans worldwide. Key responsibilities include system architecture design, data preprocessing, model training, and operational excellence. Requires 5+ years of experience in recommendation systems, proficiency in Python, and familiarity with TensorFlow and PyTorch.
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