Software Engineer II - Machine Learning, Mobility & Business Platforms jobs in United States
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Jobs via Dice ยท 5 hours ago

Software Engineer II - Machine Learning, Mobility & Business Platforms

Uber is a company focused on reimagining the way the world moves for the better, and they are seeking a Software Engineer II to collaborate with stakeholders in designing, developing, and optimizing machine learning solutions. The role involves building scalable models, collaborating with teams, and implementing monitoring systems to ensure high performance in production environments.

Computer Software

Responsibilities

Design, build, and deploy scalable machine learning models to production to solve real-world business problems
Collaborate with cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specification
Write clean, testable, and efficient code to ensure models run with low latency and high reliability
Implement monitoring systems to track model performance, stability, and data drift in live environments
Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack

Qualification

Machine LearningPythonML algorithmsModel deploymentContainerizationWorkflow orchestrationOptimization techniquesCommunicationProblem-solving skills

Required

Bachelor's degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Machine Learning work experience OR PhD in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field
Proficiency in at least one programming language such as Java, C++, Python, or Go
1 year of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale

Preferred

Master's degree or higher in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field
More than 3 years of full-time machine learning work experience
Experience with the full ML lifecycle (at Uber Scale), including model deployment, containerization and workflow orchestration
Experience in translating ambiguous business problems into technical solutions in a structured and principled way
Strong communication skills, including through documentation and design discussions
Experience with optimization techniques and algorithmic development
Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis
High bar for quality as demonstrated by code reviews, documentation, unit and integration testing

Benefits

Participate in Uber's bonus program
May be offered an equity award & other types of comp
Various benefits

Company

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Funding

Current Stage
Early Stage
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