Sr. ML Engineer

5 - 9 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

The role at Uber involves working on operational aspects of the business including localizing core products to reflect regional nuances such as surge pricing, safety controls, and trip routing. The team is responsible for curating data, labeling artifacts, and improving algorithms to enhance the quality of trips. The ultimate goal is to reduce the need for manual intervention and incorporate automation to streamline operations. Candidates will be expected to identify problems suitable for machine learning solutions, design and develop ML models, collaborate with backend and frontend engineers for integration, and work with ML Ops team to enhance models. Writing clean, modular code, conducting code reviews, and staying updated with the latest ML technologies are also key responsibilities. Basic qualifications for the role include an Engineering Degree or equivalent in Computer Science, proficiency in programming languages like C++, Java, Python, or Go, knowledge of modern machine learning algorithms, and experience with ML software such as TensorFlow, PyTorch, or Scikit-Learn. Strong problem-solving skills and the ability to work well in a team are essential. Preferred qualifications include at least 5 years of professional software engineering experience, expertise in deconstructing real problems and developing scalable ML solutions, experience with deep learning, and collaborating with backend and frontend engineers to implement solutions effectively.,

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Uber logo
Uber

Technology, Information and Internet

San Francisco California

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