Top Machine Learning Jobs
The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.
The Associate Machine Learning Manager will develop and manage machine learning and AI strategies, lead a multi-disciplinary team to implement machine learning models, and collaborate with peers to deliver value to customers through scalable and robust solutions.
The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.
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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.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
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.
As a Research Scientist at Deepgram, you will innovate and build advanced voice AI solutions, utilizing deep learning to train models that interpret speech and comprehend text. You will drive large-scale training, optimize models, and collaborate with product and engineering teams to deploy AI capabilities.
The Machine Learning Ops Developer IV is responsible for developing and maintaining high-performance machine learning batch processing systems. This includes troubleshooting, scheduling on AWS EC2, and enhancing existing systems while documenting flows and algorithms. The role requires collaboration with various teams and mentoring junior developers.
The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks for various businesses. The role involves transforming structured and unstructured data into actionable insights and collaborating closely with product management and software engineers.
Mid level machine learning engineer role at Instacart. Responsibilities include designing, developing, testing, and deploying machine learning models to solve customer problems and drive business forward. Requires strong programming skills and analytical abilities.
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