Top Remote Machine Learning Jobs in San Diego, CA
Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
Join Square's Measurement Machine Learning team as a Senior Machine Learning Engineer specializing in attribution modeling. Build innovative ML solutions for Square's attribution system to drive growth and strategic decisions. Collaborate with various stakeholders and external data providers to enhance Square's measurement capabilities.
Seeking a Senior Machine Learning Engineer with expertise in attribution space to join the team in expanding Square's measurement system. Responsibilities include building data science and machine learning solutions, partnering with stakeholders, and staying updated on industry advancements.
Looking for a Software Engineer focused on neural network deployment and GPU software development to join Scythe. Responsibilities include optimizing models for deployment, maintenance of evaluation tooling, collaborating with the Perception team, and more. Required skills include C++, Python, PyTorch, TensorRT, CUDA, and familiarity with Linux and AWS.
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As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning. Responsibilities include solving complex problems, leading projects, and collaborating with teams. The role requires 5+ years of software development experience, fluency in Java, Kotlin, Python, and expertise in AWS, Apache Spark, and Machine Learning projects lifecycle.
Looking for a talented Staff ML Engineer to build ML platforms and data pipelines for large-scale data repositories. Responsibilities include designing and building ML architecture, managing the ML platform, developing data pipeline architecture, and writing scalable software. Qualifications include 8+ years of Java development experience, 4+ years in AI, ML, and Data Science, and knowledge of Python, Scala, TensorFlow, and more.
Seeking a Machine Learning Engineer in Perception to develop robust models for self-driving vehicles. Responsibilities include prototyping new algorithms, optimizing model performance, and supporting hardware projects. Ideal candidates should have a solid understanding of computer vision fundamentals and experience with ML model development.
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Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for strategic investment decisions. Partner with various stakeholders to refine growth strategy and inform investment decisions with data. Stay updated on the latest trends in machine learning and data science.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to improve customer support effectiveness, collaborate with cross-functional teams to develop impactful solutions, continuously monitor model performance, and prepare reports on trends to stakeholders.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.
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As a Senior Machine Learning Engineer at Wasabi, you will deploy scalable machine learning solutions and enhance computer vision and audio processing capabilities. You will work with a modern software stack and collaborate with a team of passionate engineers to drive innovation in machine learning and cloud storage.
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