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 re…
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 re…
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 re…
Company Description UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princes…
Skills: Data engineering, Microsoft Azure, Microsoft Fabric, Data pipelines, Lakehouse architecture
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 re…
Skills: Data Engineering, Data Pipelines, Distributed Systems, SQL, Scala
The BA/QA Tester is part of a dynamic team testing a large scale, high-performance market surveillance system to monitor financial exchanges and ATS’s in Canada. The BA/QA Tester will be testing and migrating the e…
Skills: Business analysis, QA testing, Azure DevOps, SQL, Python
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Systems engineering, Cloud infrastructure, DevOps, Technical leadership, Public cloud
Company Description The Klick Group—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem d…
Who we are: Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable…
Skills: Data engineering, SQL, Dbt, Python, Apache Airflow
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boo…
Skills: Machine Learning, Deep Learning, Python, PyTorch, TensorFlow
Location: London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable insights. In this …
Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio i…
Skills: Creative Direction, User Acquisition, Motion Design, Performance Marketing, AI Creative Tools
Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio i…
Skills: Game Design, Team Leadership, Economy Design, Balancing, Progression Systems
Kensington delivers the world’s most personal travel experiences. We bring to life each client’s desire to travel in a way that’s tailored specifically for them, in the company of local private guides who ensure that the…
Overview: Qsight is a high-growth division of Guidepoint focused on building data intelligence solutions for the healthcare sector. Qsight leverages proprietary datasets and rigorous analysis of alternative data sources …
Welcome to ivari Let us introduce ourselves. With more than 300+ employees across Canada, ivari is a company that’s making a difference in the world of life insurance. How? By finding and hiring employees who are p…
Skills: Risk management, Actuarial science, Financial risk, Capital at risk, ORSA
Practice Customer Developer, Data Management, Google Cloud
Toronto, Ontario, Canada · On-site
$194k–$198k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture (e.g., database administration and solutions) in a customer-facing or support role. Expe…
Skills: Cloud native architecture, Database administration, Data transformation, Data migration, Governance strategies
What We Need Corpay is currently looking to hire a Trade Support Associate. This position falls under our Cross Border line of business and is located in Toronto, Canada. Reporting directly to the Director of Trading, th…
Skills: Trading, Market intuition, Data analysis, Risk management, Options valuation
Website & Content Coordinator - Remote position, junior role Salary: $53,500-$60,000 per year What you'll spend your day doing: Website Updates and Maintenance Manage day-to-day website updates, including clinician profi…
Skills: Website maintenance, Content management, SEO, Keyword research, Google Analytics 4
About us Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundat…
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
Posted 9d ago
~40 hrs/week
Responsibilities
Design and build scalable, reliable services for ML model training, experimentation, and LLM applications. Collaborate with ML engineers and product teams to improve development velocity and MLOps maturity across the company.
Requirements
Requires 2+ years of professional software development experience with a focus on distributed systems and production ML platforms. Candidates should have experience managing the full software development lifecycle and operating high-availability systems.
Full job description
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. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications. With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure.
What you’ll do
You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company.
Responsibilities
Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems.
Working directly with product teams and ML engineers to improve their day-to-day productivity.
Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies.
Who you are
We’re looking for people with a strong background or interest in building successful products or systems; you’re passionate about solving business problems and making impact, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems. You are comfortable working with other Stripe teams across the US and Canada.
Minimum requirements
2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems
Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations
Experience working on production ML platforms, MLOps solutions, or building LLM applications
Experience running operations for high availability, low latency systems
Experience partnering with other teams to drive business outcomes
A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course
Preferred qualifications
Experience building and shipping production AI agents
Familiarity with the LLMs and LLM Frameworks
Experience training and shipping machine learning models to production to solve critical business problems
Stripe builds programmable financial services. 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. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.
Offices: 354 Oyster Point Blvd, South San Francisco, California 94080, US · 1 Wilton Park, Wilton Terrace, Dublin, County Dublin D02 FX04, IE · 920 5th Ave, Seattle, Washington 98104, US · 201 Bishopsgate, London, England EC2M 3NS, GB · 10, Boulevard Haussmann, Paris, Ile-de-France 75009, FR