QuadSci is the most predictive and prescriptive AI For B2B customer intelligence. QuadSci was recognized as “Machine Learning Company of the Year” in the 8th annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence(AI) market.

QuadSci applies AI to product usage data by processing tens of billions of telemetry events to capture the behavioral patterns of customers, allowing the analysis of customer behavior and usage patterns. QuadSci’s AI products identify patterns across these billions of telemetry events as well as tens of thousands of customer engagement events to predict growth, churn, and contraction up to 12 months in advance with 90% accuracy.

QuadSci's two main products, Cohorts AI and Growth AI empower GTM and Product teams. Cohorts AI discovers usage patterns driving customer journeys, enabling businesses to optimize engagement and improve onboarding, growth and retention, while Growth AI predicts future trends like churn or expansion, allowing companies to proactively act. Our Q-Chat family of agents converts the descriptive and predictive power of Cohorts AI & Growth AI into prescriptive actions for GTM teams.

QuadSci

Predictive and Prescriptive AI for Revenue 

About QuadSci.ai:QuadSci is an AI product company for software companies. QuadSci AIs are fine-tuned and locally deployed within customer environments. Our AIs process BILLIONS of product analytics, observability and customer data events to determine churn, contraction, and growth signals as far as 12 months in advance.
We started QuadSci to answer 2 fundamental questions:Customers demand great experiences from software vendors and require you to lead them in their journey…Why isn’t this easy in the age of AI? Software companies want to deliver great customer experiences but internal processes distract from Customers…How can AI & Orchestrated Actions create a performance flywheel for the top & bottom line? 
QuadSci is empowering Go-To-Market (GTM, Sales, Customer Success, Marketing, Services, etc.) leaders to scientifically manage customer lifecycle, GTM performance and ARR predictability to add points to the "Rule of 40" only QuadSci can provide.
About the ML Engineer role:You are an expert at finding patterns and explaining insights from application & event data using supervised and unsupervised ML approaches to customers. Our AI insights & signals are the source of powering orchestrated actions (next-best action) that improves GTM performance of customer-centric organizations. You will be accountable for the development & packaging, fine-tuning and performance monitoring of QuadSci's AI products (Cohorts AI & Growth AI). A summary of your responsibilities is below:Field deployed AI/ML Engineer working across 1 - 5 customersAnalyzing diverse and dynamic data sets across application telemetry, CRM, Support, Accounting / Billing, Website Analytics and other common enterprise data sources.Utilize our auto feature engineering assets focused on large telemetry data sets (TBs to PBs)Deploy, train, test and monitor AI products at scale within a Customers’ operating architecture in platforms such as Vertex AIEngage with other QuadSci deployed colleagues on the explanation of data insights, confirmation of design requirements, root cause analysis, etc. Work with Customers on AI feature roadmaps (incl. GenAI applications) for their models and ongoing performance management of deployed AI models Collaborate with QuadSci colleagues, Customer Cloud Ops and Partners on ML ops, integrations and performance managementContribute to QuadSci codebase for auto-feature engineering, AI product packaging, next best action logic and more
Basic Qualifications - Must have:Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or other related field 3+ years of relevant experience in data science or product development Experience with data science and cloud computing environments like VertexAI, Sagemaker or similar toolDemonstrated success in the use of clustering, classification, regression, decision trees etc to deliver transformative insightsStrong experience in building, training, and tuning predictive machine learning, especially in the domains of next best offer or recommended action based on time-series type data sets Experience in Natural Language Processing (NLP) for sentiment analysis and behavioral modeling Hands on experience with Pandas, Polars and / or Dask (Coiled) for data transformation & feature engineering
Advanced Qualifications - Nice to have:Masters degree in Computer Science, Data Science, Applied Statistics or a related fieldDeployment architecture experience for MLOps optimization using technologies like Dagster or similar toolExperience in the use of Large Language Models (LLMs, both Open Source & Proprietary), Embeddings algorithms,Vector DBs and APIs to create GenAI applicationsFamiliarity with technologies and/or data architectures such as: Pendo, Salesforce and Open TelemetryDirect experience in the use of AI/ML to automate essential business processes that have an impact to Field teams or Customers 
At QuadSci, we believe equal opportunity fuels innovation and strengthens our culture. We actively welcome candidates from all backgrounds and are committed to creating an environment where everyone can thrive on the merits of their efforts and outcomes. QuadSci is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state, or local law, ordinance, or regulation.

Machine Learning Engineer

What the job involves