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Experience Level
Entry Level
Qualifications
We are looking for candidates with a strong foundation in machine learning algorithms, programming skills in Python or Java, and experience with cloud platforms such as AWS or Google Cloud. Familiarity with data processing frameworks like Spark or Hadoop is a plus. A passion for solving complex problems and a drive for continuous learning is essential.
About the job
tvScientific seeks a Machine Learning Platform Engineer to help shape the company’s advertising technology. This position can be based in San Francisco, CA, or performed remotely from anywhere in the United States.
Role overview
This role focuses on building and refining machine learning models that drive the core of tvScientific’s advertising platform. The work combines technical skill with creative problem-solving to support the platform’s effectiveness.
What you will do
Develop and optimize machine learning models to enhance advertising performance
Collaborate with team members to deliver solutions that balance innovation, scalability, and reliability
Apply technical expertise to address challenges at the intersection of technology and creative thinking
Location
Candidates may work from San Francisco, CA, or remotely within the US.
About tvScientific
tvScientific is a leader in the advertising technology space, focused on delivering powerful machine learning solutions to optimize digital advertising. Our team is comprised of talented professionals who are dedicated to innovation and excellence, creating impactful campaigns for our clients.
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Full-time|Remote|San Francisco, CA, US; Remote, US
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Full-time|Remote|San Francisco, CA, US; Remote, US
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