Senior Software Engineer - Earner Incentive

Rocket Lab; Toronto; On-site; CAD 164,000 - 182,000; Full time

Job summary

Rocket Lab is seeking a Backend Engineer to join the Earner Incentive team in Toronto. The role involves developing software solutions to enhance Uber's marketplace by increasing driver engagement and optimizing capacity management. Candidates should have a background in computer science or related fields with extensive experience in software development and collaboration with ML engineers. This position offers a competitive salary and eligibility for bonuses and benefits.

Benefits

Eligibility for bonus program

Equity award

Various benefits

Qualifications

• 3+ years of experience in the software life cycle.
• Experience coding in multiple programming languages.
• Experience in building consumer-facing products.

Responsibilities

• Architect and design software solutions for capacity management.
• Collaborate with ML engineers to improve product performance.
• Mentor junior team members in software development.

Skills

Machine Learning

Software Development

Collaboration

Problem Solving

Education

Bachelor's degree in Computer Science

Bachelor's degree in Computer Engineering

Bachelor's degree in Electrical Engineering

Tools

C/C++

Java

Python

Go

C#

Job description

About the Role

The Earner Incentive team at Marketplace builds products to incentivize drivers to drive in certain geo and hours where we expect to have high demand. These products aim to build a balanced and efficient marketplace while increasing driver engagement with Uber. The team builds systems to manage the lifecycle of incentives, from generating incentives using ML algorithms / models, to online serving of incentives and payments.

What You Will Do

• As a backend engineer, you will architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Uber’s infrastructure across a variety of sophisticated workflows and business processes.
• Design end-to-end features and systems to build high quality consumer-facing products.
• Write code, test, and maintain production services for high availability, reliability, and performance.
• Work with ML engineers and scientists to develop ML models to improve product performance.
• Work with Product Managers to understand product requirements and lead product rollout plans.
• Mentor junior team members.
• You will collaborate with other teammates to maintain the health of our systems and codebase, refactor and make improvements, and keep our systems robust and resilient.

Basic Qualifications

• Bachelor's degree (or higher) in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#)
• 3+ years experience working on the full software life cycle including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment and best practices as an individual contributor.

Preferred Qualifications

• 5+ years experience working on the full software life cycle including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment and best practices as an individual contributor.
• Experience building consumer-facing products.
• Experience designing and implementing large-scale service with excellent quality.
• Experience working with Machine Learning engineers and scientists on ML model productionization.
• Experience collaborating with other engineers and non-tech stakeholders, both to meet short-term goals and to create long-term partnerships.
• Fast and passionate learner.
• Strong collaboration, documentation and communication skills.

For Canada-based roles: The base salary range for this role is CAD$164,000 per year - CAD$182,000 per year.

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. More details can be found at the following link https://www.uber.com/careers/benefits.

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.

*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 [e-mail].