Software Engineer II MLE - U4B
About the Role:
Have the ability so apply Machine Learning to Solve complex business problems and optimixe customer experience, and work closely with stakeholders to formulate machine learning problems within the busines context.
Build end-end ML systems for designing, training, testing, optimisation, deploying, and serving machine learning models. Write ML system design docs and product production-level codes to train your ML models into working pipelines and serve models for large-scaled production online traffic.
\* Programming language (e.g. C, C++, Java, Python, or Go)
\* SQL or similar database query language
\* 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
\* 5+ years of professional software engineering experience in industry
\* Experience deconstructing real problems, including selecting the proper data structure and developing an appropriate algorithm and pushing to production
\* Experience designing ML solutions, and implementing those solutions at scale
\* Deep Learning experience
What you will do:
\* Build ML solutions to solve business needs across the U4B organisation with over 200 engineers. Some of the types of projects you will work on:
\* Help org identify opportunities to cross/upsell
\* Build actionable insights for customers
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.
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, and depending on the workplace location, Uber either requires* or recommends employees be vaccinated to access any of our facilities; this is subject to change solely at the Company’s discretion.
\* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to email@example.com.
Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.
Europe, Middle East & Africa
United States & Canada