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Top Remote Machine Learning Jobs in San Diego, CA
Artificial Intelligence • Hardware • Software • Quantum Computing
The Senior Staff Scientist at IonQ will lead the development of quantum AI solutions, conduct research to discover new algorithms, and optimize hybrid applications on quantum computers. The role involves collaboration with PhD scientists and various teams while shaping long-term strategies for quantum AI application deployment.
Top Skills:
Python
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eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.
Top Skills:
Machine Learning
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Staff Machine Learning Engineer will build and integrate ML solutions to evaluate customer cash flow risks and optimize automated decisioning pipelines. The role requires collaboration across teams to improve financial services through AI/ML models based on transaction data.
Top Skills:
Python
Featured Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.
Top Skills:
C++GoJavaPython
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.
Top Skills:
JavaKotlinPython
Fintech • Software • Financial Services
The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.
Top Skills:
PythonRuby
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Machine Learning Engineer will build and scale the LiftIQ platform for marketing experimentation and optimization using Machine Learning. Responsibilities include collaborating with teams, developing platforms for stakeholders, and improving ML engineering practices. They will lead technical teams and ensure business acceptance of models to enhance marketing initiatives.
Top Skills:
PythonSpark
Cloud • Hardware • Healthtech • Information Technology • Mobile • Other • Infrastructure as a Service (IaaS)
The Real-Time Cloud Data Integration Engineer will design and develop real-time data integration solutions, ensuring data integrity and efficient processes. Responsibilities include working with cloud technologies, analyzing and troubleshooting SQL queries, collaborating with stakeholders, and maintaining existing data integration tools.
Top Skills:
C#JavaPythonScala
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
As a Computer Vision/Machine Learning Engineer at Dandy, you will develop computer vision models for 3D scans, research and implement advanced methods, work with large datasets, and maintain MLOps pipelines. Your role will contribute significantly to improving dental technology and practices.
Top Skills:
Python
Artificial Intelligence • Marketing Tech • Software
As a Senior Backend Engineer focusing on the Machine Learning Platform, you will design and maintain scalable AI solutions, develop distributed systems, collaborate with product and engineering teams, and integrate AI innovations into product development.
Top Skills:
Python
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