Staff Machine Learning & Optimization Engineer

Job title: Staff Machine Learning & Optimization Engineer

Company: Index Exchange

Job description: We shaped the earliest forms of ad tech, and we’re looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that’s where the technical skills of our team make a real difference.Our exchange handles over 350 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change.What’s it like to work at Index?We have more than 550 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers.Index is an exciting and fast-paced place to work. We’re built on our values of change, support, learning and teaching, trust, and intention. We pride ourselves on our independence and openness, not only in our technology, but in our teams, too. Our diverse and inclusive culture celebrates how we can leverage our unique differences to help drive Index forward.Our culture of success is truly supportive and collaborative. In working together across our teams, we’re continually investing in the people and technology to solve the industry’s most complex problems. As we extend the promise of ad tech to every channel, we’re looking for talented engineers to help advance Index, and the industry, forward.Are you ready to join the programmatic evolution?Index Exchange funds the open web. Content and journalism across the internet are funded through advertising, and we are the engine that helps to make that happen transparently, safely and efficiently. Handling hundreds of billions of auctions per day within milliseconds requires an intense understanding of the exchange and the ecosystem that we live in.Our business is growing significantly every year and is poised to grow even faster. Our people and our platforms are the foundation and enabler of that growth. We are significantly expanding our technology teams, and are looking for technologists with a passion for high performance software development, and a drive to deliver software products and platforms that enable and empower industries at a global scale.About The Role:We’re looking for a Staff MLOps Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.Index’s scale spans the globe, our transactions happen 24×7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange. In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business.What We’re Looking For:

• Lead the design and architecture of enterprise-scale MLOps systems, setting standards for high-performance ML products.
• Spearhead the modernization initiatives for MLOps infrastructure, advocating for best practices in automating and streamlining complex processes across the organization.
• Provide thought leadership in advanced data management strategies, optimizing for performance given extensive data loads.
• Mentor teams and set strategic direction for machine learning engineering deployment practices, promoting a culture of excellence.
• Navigate complex problem-solving situations, contributing to decisions that affect the broader business’s strategic direction.
• Direct the expansion and sophistication of CI/CD pipelines, ensuring the enterprise keeps with cutting-edge practices and remains efficient, through engagement with ML and MLOps evolution outside of the organization.

Here’s What You Need:

• Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Demonstrated leadership in engineering teams, with a history of driving significant tech initiatives to successful outcomes.
• Expertise in high-performance backend technologies, preferably including Golang.
• Extensive experience with cloud and distributed systems, data-intensive applications, and large-scale system design.
• Mastery of machine learning operationalization, with deep knowledge of current trends, tools, and frameworks.
• Proven problem-solving prowess, capable of pioneering novel solutions to sophisticated technical challenges.
• Significant experience in leading the development, deployment, and continuous improvement of complex CI/CD pipelines.
• A love of technology, or thirst for knowledge, or curiosity about the world, or a desire to solve the hardest problems.

Why You’ll Love Working Here:

• Comprehensive health, dental, and vision plans for you and your dependents
• Paid time off, health days, and personal obligation days plus flexible work schedules
• Competitive retirement matching plans
• Equity packages
• Generous parental leave available to birthing, non-birthing, and adoptive parents
• Annual well-being allowance plus fitness discounts and group wellness activities
• Commuter benefits and discounts, where available
• Employee assistance program
• Mental health first aid program that provides an in-the-moment point of contact and reassurance
• One day of volunteer time off per year and a donation-matching program
• Bi-weekly town halls and regular community-led team events
• Multiple resources and programming to support continuous learning
• A workplace that supports a diverse, equitable, and inclusive environment –

NotificationIndex Exchange is aware that there have been recent scams directed toward candidates regarding job interviews and offers.Please be vigilant and do not accept interview requests, job offers, or other hiring-related documents from anyone other than our dedicated recruitment team, from the domain of @indexexchange.com. Our interview process consists of several steps, including phone screens and video interviews. We do not conduct interviews via an email questionnaire or request money at any point in the process.We remain dedicated to resolving this matter and we appreciate your support.Equal employment opportunityAt Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification-diversity is the human experience. For those who show grit, passion, and humility-Index will welcome you.Accessibility for applicants with disabilitiesIndex Exchange welcomes and encourages individuals with disabilities to apply to work with us.If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.Index Everywhere, Index AnywhereOur corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be.#Ll-AS2#LI-ONSITEGet the latest advertising news, trends, and expert opinions delivered straight to your inbox.Follow usSolutionsProductsResourcesGet in TouchAboutCustomer AccessShow all linksGet the latest advertising news, trends, and expert opinions delivered straight to your inbox.

Expected salary:

Location: Toronto, ON

Job date: Wed, 31 Jul 2024 07:41:48 GMT

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