{"id":280143,"url":"https://alion.io/job/index-exchange-principal-machine-learning-architect","title":"Principal Machine Learning Architect","company":{"id":94136,"name":"Index Exchange","domain":"indexexchange.com","url":"https://alion.io/company/index-exchange","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"A","score":88,"open_postings":25,"ghost_share":0.12,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":75,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Operations","role_family":"Operations","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":135000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-05-11T17:00:35Z","employer_posted_date":"2026-05-25","last_verified_at":"2026-10-23T20:17:10Z","board_verified":true,"closed_at":null,"days_open":165,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":164},"description":"At Index Exchange, we’re reinventing how digital advertising works-at scale. We are a globally trusted independent supply-side platform, powering intelligent decisioning to maximize value for media owners and deliver stronger outcomes for buyers.\nWe’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution. Our proprietary tech is trusted by some of the world’s largest brands and media owners and plays a crucial role in keeping the internet open, accessible, and largely free.\nWe process more than 550 billion real-time auctions every day (in comparison, Google processes about 14 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs on our own metal and cloud infrastructure. This end-to-end infrastructure is designed to provide both stability and agility, enabling us to adapt quickly as the market evolves.\nAt the core of it all is our engineering-first culture. Our engineers tackle internet-scale problems across tight-knit, global teams. From moving petabytes of data and optimizing with AI to making real-time infrastructure decisions, Indexers have the agency and influence to shape the future of advertising. We move fast, build thoughtfully, and stay grounded in our core values.\nAbout the role:\nThis is a ripe opportunity for aPrincipal Machine Learning Architect to help a successful ad tech company leverage ML to further optimize our wealth of data and elevate our world-class platform to greater heights.\nWe have our first generation of successful ML projects live and are well on our way to our second. With Machine Learning continuing to mature, the ability to influence core architectures are huge and there are significant untapped business opportunities with our growing data and transaction volume. We are looking for a candidate with a track record of large-scale end to end ML solutions.\nHere’s what you’ll be doing:\n Design, develop and implementation of complex data-centric solutions, including large data set verification, transformation, and feature generation \nEnsure continuous high-quality input for ML model development \nDesign and implementation of model delivery systems \nDevelop effective strategies on deployment and hosting of ML models \nManage and monitor deployed models \nAbility to deploy fast or real time inferencing a plus \nHere's what you need:\n Masters or PhD in a STEM field or equivalent experience in a Data Scientist or closely related role \nIndustry experience applying ML at scale \nExtensive knowledge of production infrastructure and pipelines for ML models (MLOps) \nExperience with several of the following: Classification, Regression, Pattern Recognition, Recommendation Systems, Targeting Systems, Ranking Systems \nExperience with Python or other relevant programming languages and Machine Learning frameworks \nWork on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures \nInterest in performance optimizations \nDeep knowledge of math, probability, statistics, and algorithms \nStrong business acumen with the ability to work cross-functionally to source data, establish requirements and define success \nExperience working with an advanced engineering team \nKnowledge of best practices for software engineering \nBonus if you have a software engineering background \nPublished articles or papers \nNice to Have:\nExperience with participating in the machine learning competitions such as Kaggle \nExperience in ad tech (i.e. knowledge of digital programmatic advertising data) \nWhy you’ll love working here:\nComprehensive health, dental, and vision plans for you and your dependents \nPaid time off, health days, and personal obligation days plus flexible work schedules \nCompetitive retirement matching plans \nEquity packages \nGenerous parental leave available to birthing, non-birthing, and adoptive parents \nAnnual well-being allowance plus fitness discounts and group wellness activities \nCommuter benefits and discounts, where available \nEmployee assistance program \nMental health first aid program that provides an in-the-moment point of contact and reassurance \nOne day of volunteer time off per year and a donation-matching program \nMonthly town halls and regular community-led team events \nMultiple resources and programming to support continuous learning\nA workplace that supports a diverse, equitable, and inclusive environment - learn more here\nEqual employment opportunity\nAt 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.\nAccessibility for applicants with disabilities\nIndex Exchange welcomes and encourages individuals with disabilities to apply to work with us.\nIf 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.\nIndex everywhere, Index anywhere\nOur 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.\nAI Disclaimer: Automated tools including artificial intelligence may be used to assist in screening and assessing applicants for this role. 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