Company Name: Mogul & Co

Job Details: 2,Locations,Remote,or,Hybrid,110K-130K,Annually,Mid,level

Job Url: https://builtin.com/job/ai-ml-full-stack-engineer-mid-level/8088317

Job Description: Who We Are:Winning today isn’t about spending more. It’s about knowing more. Understanding more. Seeing more. And acting sooner than everyone else.Mogul & Co is The Media Intelligence Company — a combination of predictive technology, advanced analytics, and high-performance media acquisition designed to answer one question with clarity:How does every $1 in media create the next $10 in revenue and business growth?We are entering a pivotal phase, expanding rapidly with strong revenue growth. Our leadership integrates two worlds:Silicon Valley hyper-growth operators with experience building frontier AI, automation, and data platforms.Fortune 500 and agency executives who have managed global P&Ls, overseen billions in media investment, and led major transactions.This blend shapes how we operate: focused, precise, data-driven, and oriented toward long-term value creation.About the Role:We’re seeking a AI/ML Full Stack Engineer to join the elite team scaling the technology behind our Predictive Intelligence platform. You’ll work at the intersection of machine learning, data engineering, and product development—creating the tools that allow clients to see weeks or months into the future with unprecedented accuracy. This is an excellent opportunity for an engineer looking to grow their AI/ML and full-stack skills in a high-impact environmentYou will work across the full stack, from data ingestion and modeling to APIs and client-facing interfaces. This role goes beyond basic analytics or dashboarding. You will help design and productionize systems that integrate large-scale, real-time, multi-source data, apply predictive and causal modeling, and continuously learn from new signals.This is an ideal role for an engineer who wants deep exposure to real-world AI systems, complex data environments, and mathematically grounded prediction at scale.Key Responsibilities:Design, build, and maintain full-stack applications that deliver predictive insights through scalable, user-facing interfacesDevelop and maintain automated data pipelines for ingesting, processing, and transforming large-scale structured and unstructured dataImplement, deploy, and maintain machine learning models including forecasting, regression, classification, and ensemble methodsApply statistical and machine learning techniques to support forward-looking analysis and decision-makingBuild and maintain backend services, APIs, and integrations that support analytics and modeling workflowsSupport experimentation, testing, and validation of models and analytical outputsWork with modern AI approaches, including large language models, to support automation and data-driven workflowsOptimize system performance, reliability, and scalability across data pipelines and ML servicesCollaborate cross-functionally with engineering, product, and analytics teams to translate requirements into technical solutionsContribute to best practices for code quality, monitoring, and operational stability of production ML systemsRequired Qualifications:Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field2–4 years of professional experience in software engineering with exposure to full-stack developmentStrong proficiency in Python for data processing, modeling, and backend servicesExperience with JavaScript/TypeScript and modern frontend frameworks such as React or similarHands-on experience building, training, evaluating, or deploying machine learning models in production or near-production environmentsSolid grounding in statistics, probability, linear algebra, and predictive modeling conceptsExperience working with time-series data, forecasting, regression, or classification problemsStrong SQL skills and experience working with relational and/or analytical databasesExperience building and consuming REST or GraphQL APIsFamiliarity with cloud platforms such as AWS, GCP, or Azure and cloud-native architecturesAbility to reason about data quality, bias, model assumptions, and uncertaintyStrong problem-solving ability and comfort working in ambiguous, evolving technical environmentsPreferred Qualifications:Experience with advanced ML frameworks such as PyTorch, TensorFlow, or JAXExposure to probabilistic modeling, Bayesian methods, causal inference, or simulation-based approachesExperience with large language models, embeddings, vector databases, or retrieval-augmented systemsFamiliarity with data orchestration and pipeline tools such as Airflow, Dagster, or dbtExperience working with streaming or near-real-time data pipelinesKnowledge of containerization and deployment using Docker and CI/CD workflowsExperience with observability and monitoring for ML systemsBackground or strong interest in AdTech, MarTech, economics, or large-scale analytics systemsUnderstanding of experimentation frameworks, A/B testing, or model validation strategiesMaster’s degree in a technical or quantitative fieldCompensation:Base Salary: $110k–$130kEquity Grant with Quarterly Profit ParticipationAggressive Year-Round Bonus ProgramJoining Now Means:Higher Equity Ownership & Profit ParticipationAccelerated Leadership PathsPatents Contribution and Industry-Leading InnovationContinued Perks, Benefits, Compensation that increase with hyper-growthChicago, New York, Los Angeles OfficesBig Company Operations, Startup CultureCulture & Working Style:We operate with the urgency of a startup and the discipline forged from over a decade of operations and growth:Move fast with precisionHigh collaboration across technical and commercial teamsOwnership mindset with real autonomy and accountabilityDecisions grounded in data, testing, and measurable outcomesHybrid flexibility balanced with intentional in-person collaborationIf you thrive in environments where complexity is embraced, learning is constant, and your work directly shapes the product and business, you’ll fit right in.Mogul & Co. believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Mogul & Co. will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.Benefits & Perks:Comprehensive medical, vision, dental, life, HSA, and disability benefits from day one of employmentWellbeing programs include, but are not limited to primary care support, mental health services, pet wellness, and behavioral healthUnlimited PTOPaid parental leave401(k) retirement planCompany bonuses or sales commissionsEquity compensationCompensation Range: $110K - $130K#BI-Remote