Uber Sr Software Engineer - Corp Data 

United States, West Virginia 

810723628

About the Role

What the Candidate Will Do

1. Design, develop, and deploy scalable, high performance data services, machine learning models to analyze large datasets, generate insights, and make predictions that support data-informed decision-making.
2. Research, experiment, and build proof of concepts that solve business problems, scale them into functional MVPs and bring innovative concepts to life.
3. Develop solutions and tackle ambiguous problems by framing issues, generating hypotheses, and offering recommendations that blend software engineering, analytics, and product expertise.
4. Perform analysis using relevant tools (e.g., SQL, Python) and provide strategic contributions that drive business improvements.
5. Document algorithms, methodologies, and findings thoroughly for transparency and reproducibility.
6. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.
7. Mentor and support other engineers, share knowledge and best practices on building data platforms around AI/Gen AI and machine learning
8. Work in a diverse, dynamic, collaborative, transparent, and inclusive environment where all ideas and opinions are valued.
9. Support on-call activities for critical issues.

Basic Qualifications

1. 5 years of relevant work experience. Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Economics, Engineering, or a related quantitative field.
2. 3+ years of coding and software development experience, with proficiency in Golang, Java, C++, Python, or related languages.
3. 3+ years of experience developing data services and data pipelines for business applications, with extensive hands-on experience in designing, building, evaluating, deploying, and monitoring data products end to end.
4. Experience with databases, data warehousing, and ETL systems, including tools like Hadoop, Hive, Spark, Flink, BigQuery, Databricks, Snowflake, Fivetran, DBT, Airflow and data infrastructure services (AWS, GCP, Azure).
5. Understanding of relevant statistical measures, such as confidence intervals, significance of error measurements, and the development and evaluation of datasets.
6. Proven track record of analyzing data to uncover hidden patterns and conducting error/deviation analysis.
7. Excellent written and verbal communication skills, with the ability to collaborate effectively in a distributed, cross-functional team environment.

Preferred Qualifications

1. Proficient in a range of machine learning algorithms, including random forests, linear and logistic regressions, gradient boosting, classification, GANs, and anomaly detection techniques.
2. Experience in building machine translation and natural language processing systems.
3. Ability to develop experimental and analytic plans for data modeling processes, establishing strong baselines, and accurately determining cause-and-effect relationships.
4. Extensive experience with A/B testing setup and analysis.
5. Experience with Reinforcement Learning in practical use cases.
6. Experience in designing and implementing highly scalable, robust, and fault-tolerant services.
7. Proficiency in training and fine-tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
8. Experience with CI/CD solutions in the context of MLOps and LLMOps, including automation with Infrastructure as Code (IaC) tools such as Terraform.
9. Experience working with large-scale distributed systems and databases, particularly with very large datasets.
10. Highly motivated to achieve results in a dynamic environment.
11. Exceptional organizational skills and strong attention to detail.
12. Comfort and effectiveness in a fast-paced, highly collaborative, and dynamic work environment.

For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.