Uber

Senior Machine Learning Engineer - Uber AI

3+ months agoSan Francisco, CA

Senior Machine Learning Engineer - Uber AIAbout 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:

Uber AI is an integrated technology and research organization. The mission of Uber AI is to make AI and machine learning maximally impactful at Uber by pushing the frontiers of research, developing high quality scalable platforms, and collaborating on innovative applications. To further this mission, the group brings together AI-focused engineering, product, and research teams under a single umbrella to ensure cutting-edge AI innovation is rapidly transferred into company-wide platforms, accelerating Uber's positive impact on the world.
Our team at Uber AI works on optimization problems in the Uber marketplace, including pricing, incentives and forecasting, using deep learning and causal methodology.

What You'll Do:

• Collaborate with partner teams across Uber on the design, development, optimization, and productionization of machine learning solutions and systems for core business problems.
• Develop innovative ML/AI solutions for challenging business problems that are fundamental for Uber
• Collaborate with data science and engineering teams to integrate and validate ML solutions end-to-end
• Deliver enduring value in terms of software and modeling artifacts

Minimum qualifications:

PhD or equivalent in Computer Science, Engineering, Mathematics or related fieldOR* 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:

Preferred:

• 5+ years of industry/academic experience
• Demonstrable expertise in machine learning, especially deep learning.
• Experience in causal inference
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world!
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 a 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.

Client-provided location(s): San Francisco, CA, USA
Job ID: Uber-101807

Perks and Benefits

  • Health and Wellness
    • On-Site Gym
    • Fitness Subsidies
    • Wellness Program
    • FSA With Employer Contribution
    • Life Insurance
    • Vision Insurance
    • Dental Insurance
    • Health Reimbursement Account
    • Health Insurance
    • Mental Health Benefits
  • Parental Benefits and Childcare
    • Fertility Benefits
    • Paid Family Leave
  • Work Flexibility
    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks
    • On-Site Cafeteria
    • Some Meals Provided
    • Snacks
    • Pet-friendly Office
    • Casual Dress
    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
  • Vacation and Time Off
    • Sabbatical
    • Personal/Sick Days
    • Paid Holidays
    • Unlimited Vacation
    • Paid Vacation
    • Volunteer Time Off
  • Financial and Retirement
    • Performance Bonus
    • Company Equity
    • 401(K)
  • Professional Development
    • Associate Training Program
    • Work Visa Sponsorship
    • Access to Online Courses
    • Mentor Program
    • Promote From Within