Software Engineer II - Machine Learning
Sunnyvale, California
Employer: Uber
Industry: Engineering
Salary: $158000 per year
Job type: Full-Time
About the Role
Software Engineer II - Machine Learning - building machine learning solutions for all risk and fraud applications at Uber.
Our team applies a variety of machine learning algorithms to solve the problems in the risk domain. We are on the lookout for individuals who demonstrate exceptional problem-solving skills, critical thinking, and a strong foundation in machine learning and coding skills. This role offers the opportunity to work across all levels of Uber's ML stack, spanning from infrastructure to ML model development and productionization.
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Develop and productionize machine learning algorithms for Uber's risk and fraud problems.
2. Perform data analysis to understand and drive product insights, further model iterations.
3. Continuously innovate and apply state-of-the-art ML algorithms at Uber Scale.
4. Establish best practices and improve the rigor and bar of Applied ML.
\\-\\-\\-\\- Basic Qualifications ----
1. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field, some software engineering experience gained through industry work.
2. Proficiency in one or more object-oriented programming languages such as Python, Go, Java, C++.
3. Experience with big-data architecture, ETL frameworks, and platforms (e.g., Hive, Spark, Presto)
4. Working knowledge of contemporary machine learning and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX).
\\-\\-\\-\\- Preferred Qualifications ----
1. Deep understanding of all aspects of machine learning model lifecycles (from prototypes, feature engineering, training, inference, deployment, monitoring).
2. Experiences with cutting-edge machine learning research (original research publications or experiences in applying or reproducing state-of-the-art methods).
3. Experiences of building applications with large language models.
4. Strong statistical and experimental foundation and acumen to develop insights from data.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.
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](https://www.uber.com/careers/benefits).
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Software Engineer II - Machine Learning - building machine learning solutions for all risk and fraud applications at Uber.
Our team applies a variety of machine learning algorithms to solve the problems in the risk domain. We are on the lookout for individuals who demonstrate exceptional problem-solving skills, critical thinking, and a strong foundation in machine learning and coding skills. This role offers the opportunity to work across all levels of Uber's ML stack, spanning from infrastructure to ML model development and productionization.
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Develop and productionize machine learning algorithms for Uber's risk and fraud problems.
2. Perform data analysis to understand and drive product insights, further model iterations.
3. Continuously innovate and apply state-of-the-art ML algorithms at Uber Scale.
4. Establish best practices and improve the rigor and bar of Applied ML.
\\-\\-\\-\\- Basic Qualifications ----
1. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field, some software engineering experience gained through industry work.
2. Proficiency in one or more object-oriented programming languages such as Python, Go, Java, C++.
3. Experience with big-data architecture, ETL frameworks, and platforms (e.g., Hive, Spark, Presto)
4. Working knowledge of contemporary machine learning and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX).
\\-\\-\\-\\- Preferred Qualifications ----
1. Deep understanding of all aspects of machine learning model lifecycles (from prototypes, feature engineering, training, inference, deployment, monitoring).
2. Experiences with cutting-edge machine learning research (original research publications or experiences in applying or reproducing state-of-the-art methods).
3. Experiences of building applications with large language models.
4. Strong statistical and experimental foundation and acumen to develop insights from data.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.
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](https://www.uber.com/careers/benefits).
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Created: 2024-10-17
Reference: 136420
Country: United States
State: California
City: Sunnyvale
ZIP: 95002
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