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, optimization, 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 productin online traffic.
About the Team:
Founded in August 2014, Uber Eats has become the largest food delivery app globally, and is the fastest growing food delivery platform in the world. We have doubled our gross bookings in just over the last year!
Our team's work at Uber Eats directly impacts and continues to impact our communities. Uber Eats core teams are Restaurants, Couriers, Eaters, & Marketplace which support the exciting technical challenges of a 3-sided market. Uber's world-class engineers are empowered to push the envelope in scalability, distributed systems, mobile development, machine learning/personalization/recommendation systems, & development for drone delivery.
Come join us in our to be part of a thriving culture, while solving exciting problems at scale.
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:

• Scalable ML architecture
• Feature management

Preferred:

• Deep Learning

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. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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.