Top Hybrid Machine Learning Jobs
Review and analyze large data sets, prototype and iterate machine learning solutions, build and deploy machine learning models, collaborate with various departments to build machine learning solutions.
Design, implement, and scale critical machine learning components and services, build next-generation training framework, perform model performance optimization, develop AutoML platform, collaborate with teams, provide technical direction, advocate for best practices
Design, implement, and scale critical machine learning components and services to support Snap's strategic initiatives. Develop a next-generation training framework, build an AutoML platform, provide technical direction, and advocate for best practices in machine learning operations.
Design, implement, and scale critical machine learning components and services, build a next-generation training framework, optimize model performance, develop an AutoML platform, collaborate with teams, advocate for best practices, provide technical direction
Lead the implementation of analytical projects, gather and process data, develop algorithms using advanced techniques, conduct analytical experiments, and collaborate with data experts to provide data-driven solutions for the business.
Featured Jobs
Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community through publications, deep knowledge in multiple ML methodologies, and production experience with ML-frameworks.
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency in enterprise services. Collaborate with a team of researchers, engineers, and product managers to build intelligent software using advanced technologies. Drive data acquisition, requirements, and evaluation metrics for performance and quality at scale. Build cloud-based solutions for enterprise services.
Lead a modeling or data science engagement end-to-end, act as a subject matter expert and advisor, proactively monitor model performance and customer behavior, mentor junior team members.
Design, develop, and implement machine learning algorithms and models, collaborate with data scientists, deploy machine learning models into production systems, conduct hyper parameter optimization, research and analyze data sets, communicate AI capabilities, collaborate closely with cloud and SRE teams.
Senior Machine Learning Engineer II at Cruise responsible for developing machine learning models for self-driving vehicles, optimizing trajectories, and guiding technology choices.
Collaborate with team members to design, implement, and deliver high-quality software solutions using Python, Pandas, SQL, AWS, Docker, and ML packages. Lead software projects from inception to deployment, conduct code reviews, optimize code for performance, and address technical challenges. Degree in Computer Science or related field preferred.
As an Expert Application Engineer focusing on Machine Learning, you will build and release reliable software systems at scale, develop full stack solutions, design elegant solutions, and strategize the future state of the technical ecosystem. You will innovate, advocate for best practices, solve complex problems, and guide the team on implementing solutions from inception to production.
System1 is seeking a Senior Machine Learning Scientist to develop new ML and AI products for a real-time acquisition marketing platform. Responsibilities include algorithm development, software engineering guidance, staying updated on ML trends, and contributing to the wider ML community. Requires 4+ years of hands-on experience with LLMs for text generation, experience with RAG and embedding capabilities, proficiency in Python, and cloud computing experience with AWS and Docker.
Top hybrid Companies Hiring Data + Analytics Roles
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