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Lead AI/ML teams to build ad-tech algorithms (bid prediction, yield optimization, fraud detection) that maximize publisher revenue and advertiser performance using Python, TensorFlow, and real-time MLOps on cloud platforms.
Machine learning engineer (Member of Technical Staff, MLE) at AIC, a software-led industrial holding company: embed onsite with manufacturing partners, build and ship ML on factory data (vision, sensors, documents), and tie models to operational and financial outcomes. Full-stack production work; onsite 5x/week in Brooklyn or El Segundo; $180-250k + equity.
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop,…
About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back…
SHAPE THE FUTURE OF PRIVACY WITH USERCENTRICS 1-year fixed term contract Usercentrics is a global leader in the field of consent management platforms (CMP). We follow our company vision to build a world where user…
Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it’s a Friday-night feast, a…
Intuit's Consumer Group is committed to building tools and services that improve our members' financial journeys. At the heart of this mission, the Credit Karma Engagement team builds in-product features and…
Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax,…
Job Description Thomson Reuters' Transactional Compliance portfolio connects businesses to a growing network of e-invoicing, tax determination, and trade compliance capabilities. Pagero alone connects more than 14…
About the role You will be the analyst embedded in one of our product squads — the person who turns product questions into numbers the company can act on. Every meaningful product change at invygo ships behind an…
Job Description Summary Joint Faculty Appointment | MUSC College of Nursing & National Crime Victims Research and Treatment Center The Medical University of South Carolina (MUSC) is seeking an exceptional…
A senior analytics role on JPMorgan Chase's MLIO team, optimizing GenAI/LLM-powered products (Conversational Insights, Insights for Coaching) across AWS and on-prem environments. Day-to-day involves SQL/Python data analysis, causal inference and ML-based root cause analysis, and presenting insights to leadership using tools like Tableau, Alteryx, Snowflake, and Spark.
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and…
The Director, Media Experimentation & Engagement leads NBCU’s incrementality and engagement measurement program for Performance and Device media. Experimentation is the causal calibration source for Growth Media…
At Kinsworth, we aren’t just building software; we’re building a product customers love and a successful business. To achieve this, we operate at pace, we're big believers in autonomous teams and iterative…
About HighLevel: HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries,…
Faire, an online wholesale marketplace connecting independent retailers and brands, is hiring a Senior Applied AI/ML Scientist for its Brand Growth team. Day to day you own ML projects end-to-end — optimizing brand acquisition spend, predicting brand lifetime value, improving cold-start recommendations, and measuring impact with experimentation and causal inference.
Senior Applied AI/ML Scientist on Faire's Retailer Growth team building machine learning systems to activate and engage retailers via paid marketing — bidding optimization, audience targeting, LTV/causal modeling, and LLM-driven AEO content. Day to day spans end-to-end ML modeling, experimentation, and cross-functional collaboration in Python-style production ML.
Hands-on junior-to-mid data scientist role in Ebiquity's Data Science team, turning client data into statistical/ML models and reusable analytics tooling. Day to day: cleaning and quality-checking datasets with SQL and Python/R, building regression, forecasting and Bayesian models, and automating analysis pipelines with Git. Based in Spain.
