FAQs
What is the primary role of the Machine Learning Engineer in the Uber Eats Search and Discovery Team?**
The primary role of the Machine Learning Engineer is to enhance the search experience for millions of Uber Eats users worldwide by leveraging expertise in data analysis, machine learning, and engineering to drive insights and optimize search algorithms. **Question: What are the key responsibilities of the Machine Learning Engineer?** **Answer:** Key responsibilities include designing, developing, and productionizing machine learning solutions for Search and Discovery, GenAI, query understanding/ranking, and MOO optimizations; deploying models for real-world applications; designing and analyzing experiments; reviewing code and designs; and collaborating with product and cross-functional teams. **Question: What educational qualifications are preferred for this position?** **Answer:** A Bachelor's or Master's degree in Computer Science, Statistics, or a related field is preferred. **Question: What experience is essential for a candidate applying for this role?** **Answer:** Candidates should have experience with machine learning and optimization, as well as familiarity with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn. Additionally, solid understanding and experience in statistical analysis, feature engineering techniques, SQL in a production environment, experimental design, and the search and recommendations field are essential. **Question: What soft skills are expected from candidates for this Machine Learning Engineer position?** **Answer:** Excellent communication and collaboration skills, the ability to work independently and take ownership of projects, and a constructive approach to providing feedback on teammates’ code and design are expected. **Question: Is experience in natural language processing (NLP) relevant for this role?** **Answer:** Yes, experience in query understanding/ranking or solving customer problems with NLP is relevant and preferred for this position. **Question: What does the base salary range for this position entail?** **Answer:** The base salary range for this role is USD $158,000 to USD $175,500 per year, depending on the location, including San Francisco, Seattle, and Sunnyvale. **Question: Are there additional compensation opportunities besides the base salary?** **Answer:** Yes, individuals will be eligible to participate in Uber's bonus program, may be offered an equity award, and can expect other types of compensation and benefits. **Question: Where can I find more details about the benefits offered with this position?** **Answer:** More details about the benefits offered can be found on Uber's careers page at the following link: https://www.uber.com/careers/benefits. **Question: What types of projects will the Machine Learning Engineer work on?** **Answer:** The Machine Learning Engineer will work on projects related to search and discovery algorithms, generative AI products, query understanding/ranking, and various optimization tasks to improve the overall user experience.