Senior Machine Learning Engineer - Marketplace Pricing

Key Skills

C++, Caffe, Effective communication skills, Java Programming, logo, NumPy, Pandas, Presto, PySpark, Python Programming, Scikit-learn, SciPy, Spark-SQL, SQL

Job Description

About the role:

Partners with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies. This role also leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.

About the Team:

It is a challenging yet rewarding job. You will have a lot of opportunities to work with product managers, data scientists and of course engineers from other teams. You will participate in the whole development cycle of a software product from product scoping, architecture design, software implementation, to productionisation, and learn how to iterate a product for greater success. We own a few products that directly impact Uber's top and bottom lines. We are a data-driven team, and you will be able to see the impact of your work reflected in Uber's earning report, such as gross booking and trips.

The least thing you need to worry about is scope and visibility. We have many different roles and levels in the team, and need a broad range of skills such as machine learning, big data, optimization, and infrastructure. This is a unique opportunity to grow your career and do highly impactful fun things at the same time.

Minimum qualifications:

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-years full-time Software Engineering work experience, WHICH INCLUDES 2-years total technical software engineering experience in one or more of the following areas:
• Programming language (e.g. C, C++, Java, Python, or Go)
• Training using data structures and algorithms
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
• Note the 2-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

Technical skills:

Required:

• Experience in using Python (pandas, scipy, or numpy, etc) for scientific computations and object-oriented programming.
• Experience in using SQL (Presto, Hive, or Spark, etc) for data querying and ETL.
• Experience in applying machine learning models to solve real-world problems.

Preferred:

• Experience in optimization problem solving, deep learning, and/or causal inference.
• Experience working with PySpark

For San Francisco, CA-based roles: The base salary range for this role is $149,000 per year - $165,500 per year.

For Seattle, WA-based roles: The base salary range for this role is $149,000 per year - $165,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is $149,000 per year - $165,500 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. .

At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We’ve grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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.

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.

Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, Uber recommends all US- and Canada-based employees to be vaccinated in order to access any of our facilities; this is subject to change solely at the Company’s discretion.