Software Engineer, Machine Learning Infrastructure
Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Stripe processes over $1T in payments volume per year, which is roughly 1% of the world’s GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), ML is still in its early days in realizing its full potential at Stripe and is a top priority in the coming years. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, and serving ML models.
What you’ll do
You will work closely with ML engineers, data scientists, and platform infrastructure teams to build scalable, reliable, and flexible systems that substantially increase ML velocity across the company.
Responsibilities
- Designing and building scalable, reliable, and flexible infrastructure that powers the end-to-end ML lifecycle at Stripe
- Creating user-friendly services and libraries that enable ML users at Stripe to seamlessly transition from experimentation to production across Stripe’s systems
- Work with a wide range of systems, processes and technologies to own and solve technical and product problems
- Pairing with product teams and ML engineers to develop easy-to-use infrastructure for production ML models
Who you are
We’re looking for people who meet the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 3+ years of professional software development experience
- A solid engineering background and experience with service oriented architecture and large-scale distributed systems
- Familiarity with software development lifecycle, from design and implementation to testing and deployment
- Experience with operating online services with high availability and low latency
- A strong sense of curiosity and a desire to both learn and share knowledge with your peers
- Are motivated by solving hard problems and making impact by doing so
- Thrive in a highly collaborative environment involving different stakeholders and partner teams
Preferred qualifications
- Experience with building ML infrastructure and platform services
- Experience with training and shipping machine learning models to production to solve business problems
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.
The annual salary range for this role in the primary location is C$134,400 - C$201,600. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.
Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.
Office locations
Toronto
Remote locations
Remote in Canada
Team
Machine Learning
Job type
Full time