Software Engineer (Machine Learning) - Risk

| San Francisco, CA
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About the role:
Collaborates 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 moderately complex problems. This role also leverages and improves ML infrastructure for model development, training, deployment needs and scaling ML systems.
About the Team:
The Risk Machine Learning team builds scalable state-of-the-art machine learning solutions to detect, infer and predict fraud and abuse for all of Uber's lines of business. We focus on building models to protect riders, drivers, eaters, couriers, and merchants at every point in their lifecycle with an equal emphasis on giving our users an excellent experience. We accomplish these goals by researching new models, algorithms and features.
Technical Competency:
Maintains and applies thorough and up-to-date knowledge of ML and experimentation methods (e.g., A/B testing) to design, develop, optimize, and productionize ML or ML-based solutions and systems by developing and testing hypotheses, analyzing large quantities of data, prototyping and validating ideas and systems, and adapting and creating optimized algorithms, models, and other solutions. Serves as a domain resource inside and outside their own team to adopt Uber and industry standards to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems. Improves Uber technical standards and leads the adoption of Uber and industry standards and best practices within the team or project.
Coding:
Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation to solve complex problems that are not well-defined and span multiple areas or projects. This includes knowledge of data structures, algorithms, programming and associated programming languages and frameworks, and major phases/activities of the software research and development life cycle (e.g., requirements, design, build, experiment, test, debug, deploy, monitor). Monitors, reports, and ensures resolution of complex technical problems according to standards and best practices.
Design & Architecture:
Partners with stakeholders to understand customer and/or business requirements. Translates requirements into effective design documents to address clearly defined business or technical problems. Provides expertise to make trade-off decisions between short-term results and long-term goals.
Efficiency & Being a Force Multiplier:
Creates and promotes efficiency and speed within the team by leveraging and improving existing solutions, developing extensible solutions, and reconciling gaps and redundancy within the team. Identifies opportunities and advocates for better performance and efficiency of the team's software and systems.
Operational Execution:
Manages and executes ambiguous technical projects and solutions with drive and appropriate sense of urgency to deliver technical and business impact within the team. Plans, organizes, and manages tasks, resources, and timelines within a team to accomplish work accurately and on time. Defines and diagnoses ambiguous problems and determines an appropriate solution, recommendation, or decision while logically evaluating alternatives and factors (e.g., resources, costs, tradeoffs). Anticipates roadblocks and develops strategies to mitigate risk.
Collaboration:
Listens to and supports ideas/opinions of others from diverse backgrounds and experiences. Proactively builds and maintains collaborative and trusting relationships with multiple stakeholders within the team. Recognizes conflict or disputes among people and situations; mediates open communication of different points of view to resolve conflicts and meet shared goals. Provides constructive and actionable feedback to others to help improve the entire team.
Citizenship:
Enhances the effective functioning of Uber by participating in and promoting activities and efforts that contribute to the engineering and/or people culture in the team such as mentoring junior engineers. Represents the team to the broader community through participation in internally- and/or externally-focused engagements (e.g., tech talks, open source, conferences, team building).
Minimum qualifications:
Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, WHICH INCLUDES 1-year 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
Machine learning (e.g., tree-based techniques, supervised learning)
Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
Note the 1-year 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 year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.
Technical skills:
Required:
Deep knowledge of machine learning algorithms
Experience designing scalable ML architecture
Experience with feature management
Preferred:
Exposure to or experience with Deep Learning
Experience with ML infrastructure and running models at scale in production
Strong programming skills (we mainly use Python, Java, Scala)
Ability to communicate complex black-box models to cross-functional stakeholders
Experience in stream processing -- Spark, Flink etc.
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.
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 10,000 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 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.
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An Insider's view of Uber

What’s the vibe like in the office?

When I went into the office for my final interview with Uber, I had the same feeling that I did when I stepped onto my college’s campus for the first time: it just felt like the right fit. The office was high-paced but also relaxed and you could immediately tell that people were friends and genuinely enjoyed being there.

Paige Sammarco

Account Executive, Uber Eats

What kinds of technical challenges do you and your team face?

One of the big challenges today with experimentation is around guaranteeing correctness, especially for small changes to ensure confidence in results. Was that change the cause of new behavior? Did other experiments get in the way? It all comes down to how accurately you can detect small changes within consumer behavior.

Azarias Reda

Head of Uber's Experimentation API team

What makes someone successful on your team?

"It’s not just about the individual contributor. The most successful people are the ones learning from others. On my team, I make sure that everyone shares best practices and we foster a collaborative culture. So when you’re on a call, you’re never really alone. And that applies to everyone."

Ali Faivus

Head of Mid-Market Sales

How do you empower your team to be more creative?

We make sure we don’t ship org structures, but rather aligned products. How can our products complement one another, building upon each other to achieve our primary goals? Whether it’s scheduling, routing, predictive analytics, or operational excellence, we are acting as one, and smartly leveraging our domains and strengths.

Joe Chang

Director of Engineering, Uber Freight

How does your team reward individual success?

I believe recognizing someone’s contributions are a big part of team play. On our weekly meetings, we always start with a shout-out, and it’s amazing how this simple topic stimulates the team to recognize small victories and accredit colleagues for their accomplishments. This brings our team together and fosters a more collaborative environment.

Silvia Penna

Sr Manager, Central Operations

What are Uber Perks + Benefits

Uber Benefits Overview

Doing your best work means being your best self. To help, we offer a wide range of benefits and perks, some that only Uber can, to support your health and wellbeing.

Culture
Volunteer in local community
Our people, process, and technology can help transform cities into safer, more efficient, and more beautiful places. Learn more: https://www.uber.com/community/supporting-cities/
Partners with Nonprofits
Technology, when it's done right—and combined with good partnerships—has the potential to contribute to a better world for all. Learn more: https://www.uber.com/us/en/community/
Friends outside of work
Eat lunch together
Intracompany committees
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Diversity manifesto
Someone's primary function is managing the company’s diversity and inclusion initiatives
Diversity Employee Resource Groups
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Child Care Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Were providing more flexibility for some employees to be fully remote and we’re establishing a process to apply to be fully remote if employees think that’s best for them.
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Sabbatical
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Free Daily Meals
Game Room
Stocked Kitchen
Pet Friendly
Fitness Subsidies
Home Office Stipend for Remote Employees
Professional Development Benefits
Diversity Program
Cross functional training encouraged
Promote from within
Mentorship program
Online course subscriptions available
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