Senior Machine Learning Engineer, Mobility Matching

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, C++, Deep Learning, Design, Java Programming, Keras software library, Machine learning techniques, NoSQL, Optimization, Python Programming, PyTorch, SQL, TensorFlow

Job Description

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our Core Mobility Matching ML team at Uber. You will play a crucial role in developing and optimizing algorithms and systems that match supply (drivers) with demand (riders) in real-time. You will work on complex ML problems, leveraging data and algorithms to ensure efficient and reliable marketplace matching. Your contributions will directly impact the experience of millions of users worldwide.

WHAT YOU WILL DO

• Design, develop, and deploy state-of-the-art machine learning models and signal processing techniques to solve business problems and improve product performance
• Conduct exploratory data analysis and feature engineering to gain insights and improve model performance
• Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions
• Conduct research and stay up-to-date with the latest advancements in machine learning techniques and technologies
• Evaluate and integrate third-party machine learning libraries, tools, and frameworks to enhance our existing ML infrastructure
• Optimize and fine-tune machine learning models for scalability, performance, and efficiency
• Work on large-scale data processing and feature extraction pipelines to support machine learning workflows
• Mentor and provide technical guidance to junior members of the team, fostering their professional growth and development
• Collaborate with cross-functional teams to drive best practices in data management, data quality, and model deployment
• Stay informed about industry trends, emerging technologies, and advancements in machine learning and artificial intelligence

BASIC QUALIFICATIONS

• A Bachelor's, or Master's degree in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
• 3-5+ years of experience in developing and deploying machine learning models or signal processing algorithms in production environments
• Strong programming skills in languages such as Python, Java, or C++
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
• Deep understanding of machine learning algorithms, statistical models, and their applications
• Excellent communication skills and the ability to collaborate effectively with cross-functional team

PREFERRED QUALIFICATIONS

• 5-7+ years of experience in developing and deploying machine learning models and algorithms in production environments
• Strong knowledge of deep learning/reinforcement learning/bandit exploration techniques and familiarity with modern research in the field is highly valued
• Proficiency in SQL and experience with relational and NoSQL databases
• A track record of research publications in top-tier conferences or journals, demonstrating expertise in machine learning or related areas, is a significant advantage
• Strong analytical and problem-solving skills are necessary to tackle complex machine learning challenges

For San Francisco, CA-based roles: The base salary range for this role is $174,000 per year - $193,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is $174,000 per year - $193,500 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.