Senior ML Engineer

Job Description

About the Role Uber is changing the way people think about transportation. Not that long ago, we were just an app to request premium black cars in a few metropolitan areas. Now we're a part of the logistical fabric of cities everywhere. Whether it's a ride, a sandwich, or a package, we use technology to give people what they want, when they want it. The Finance Engineering team at Uber is responsible for building and maintaining the systems that power our financial operations, serve tax compliance, accounting and financial reporting. We leverage cutting-edge technology and machine learning to ensure efficient and accurate financial processes We are seeking ML engineers to strengthen our team. You will collaborate with teams and contribute to the ML foundation across multiple initiatives.As an ML engineer supporting the Finance Engineering Team at Uber, you will be Developing and deploying machine learning models across various functions of Fintech Contributing to the ML infrastructure and foundations across different initiatives. Applying ML to optimize financial aspects related to rides, and delivery(e.g. forecasting financial trends, anomaly detection etc..) What the Candidate Will Need / Bonus Points - What the Candidate Will Do - ode: Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation using software engineering principles. This includes knowledge of data structures, algorithms, programming and associated programming languages and frameworks, and major phases/activities of the software research and development life cycle (e.g., requirements, design, build, experiment, test, debug, deploy, monitor). Identifies, reports, and solves technical problems according to standards and best practices. Design: Uses software design principles and methods, knowledge of the capabilities and limitations of existing software solutions at Uber, and an understanding of own work's impact on other areas to reuse, extend, or, when needed, build effective architectures that are integrated with existing solutions and in alignment with needs and goals across areas. Learns and anticipates current and future design requirements and evaluates trade-off decisions to design systems that meet current needs and can be extended for future needs Execute: Executes work with drive and appropriate sense of urgency to deliver technical and business impact. Plans, organizes, and manages tasks, resources, and relationships to accomplish work accurately and on time. Defines and diagnoses problems and determines an appropriate solution, recommendation, or decision while logically evaluating alternatives and factors (e.g., resources, costs, tradeoffs). Accepts responsibility and accounts for own actions and work. Collaborate: Builds trusting and collaborative relationships and rapport with different types of people and teams. Respects the unique backgrounds and contributions of others. Recognizes conflict or disputes among people and situations, learns and works to understand different points of view. Resolves and aligns discrepancies across teams and organizations to accomplish team-, organization-, or Uberwide goals. Provides constructive feedback to others in a tactful and impactful manner. Be efficient: Creates and promotes efficiency and speed within Uber technology, people, and teams by leveraging and extending existing solutions when possible, and by developing solutions that balance long-term productivity with short-term needs. Identifies and addresses inefficiencies and redundancy in day-to-day work. Improves and advocates for processes and technologies that enhance the efficiency and performance of software and systems Create culture: Enhances the effective functioning of Uber by participating in and promoting activities and efforts that contribute to excellence and shape and evolve team-, organization-, and Uber-wide culture (e.g., reviewing diffs, refactoring code, participating in recruiting, hiring, and promotion activities, joining an ERG). Contributes to the broader community through participation in internally- and/or externally-focused engagements (e.g., tech talks, open source, conferences, team building) - Basic Qualifications - We are looking for experienced smart engineers who are passionate about the domain and the technology. Those who have track record of ownership and execution quality Bachelor's degree in Computer Science or related technical field or equivalent practical experience You have knowledge of a backend stack (some examples include: Java, Node.js, Python, Redis, Kafka, Golang or similar). Experience coding using general purpose programming language (eg. Java, Python, Go, C#) Should have experience working with and fine-tuning pre-trained machine learning models for tasks such as time series forecasting or natural language processing - Preferred Qualifications - Ability to learn quickly and apply at ML at scale for Fintech. We're looking for software engineers who thrive while learning new technologies and don't believe in one-size-fits-all solutions. You should be able to easily adapt to meet the needs of our massive growth and rapidly-evolving business environment. Bias toward action. You believe that speed and quality aren't mutually exclusive. You've shown good judgment about shipping as fast as possible while ensuring your products and platforms are built in a sustainable, responsible way -and you're comfortable making mistakes, provided you learn from them.