Kumo · 1 month ago
AI/ML Engineer - Relational Foundation Models & Predictive Intelligence
Chapel Hill
Full-time, Part-time
Hybrid
Entry, Mid LevelKumo is building the next generation of AI for structured data, focused on transforming data into predictions and automated systems. The AI/ML Engineer will support enterprise customers in adopting the Kumo platform, designing and building prototypes, and guiding customers through modeling choices and data structures.
Artificial Intelligence (AI)Big DataBusiness IntelligenceMachine LearningSaaS
Responsibilities
Support and eventually own technical success for enterprise customers adopting the Kumo platform
Design and build prototypes, workflows, and models across use cases such as: Recommendations & personalization, Forecasting & demand planning, Fraud detection & risk modeling, Supply chain & logistics optimization, Banking & financial analytics, CRM/growth marketing & user modeling
Work hands-on with large-scale relational datasets, customer pipelines, and production ML systems
Guide customers through modeling choices, data structures, evals, trust, interpretability, and rollout plans
Translate ambiguous customer needs into concrete ML solutions and RFM workflows
Collaborate closely with Kumo engineering and research teams to improve platform capabilities
Act as a technical leader and trusted advisor, understanding that deploying ML is as much a people and business challenge as it is a technical one
Deliver demos, workshops, best practices, and partner with executives, PMs, analysts, and data scientists
Qualification
Required
Bachelor's or Master's in a STEM field (CS, EE, Math, Physics, Stats, etc.)
Strong fundamentals in data science, statistics, or machine learning coursework
Real-world experience via internships, research, industry work, or substantial project work
Demonstrated intellectual curiosity and initiative, personal ML/AI projects, open source, research, hackathons, or other hands-on experience
Strong communication skills; comfortable working with people and navigating technical + non-technical audiences
Genuine enthusiasm for ML/AI, modern modeling approaches, and applying them to real business problems
Motivated, self-driven, excited to learn fast, and comfortable in a high-velocity startup environment
Preferred
ML infrastructure / data engineering
Full-stack development for ML apps
LLM orchestration, agent systems, or model tuning
Large-scale distributed systems
Forecasting, recsys, fraud, or other applied ML domains
Familiarity with GNNs, temporal models, or structured reasoning
Enterprise integrations, data platforms, or productionizing ML
Company
Kumo
Kumo is an AI model company that provides a platform for anyone to train and run state-of-the-art AI models on their relational data.
Founded in 2021
51-200 employees
H1B Sponsorship
Kumo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (3)
2023 (3)
2022 (2)
Funding
Current Stage
Growth StageTotal Funding
$36.5MKey Investors
Sequoia Capital
2022-09-27Series B· $18M
2022-04-07Series A· $18.5M
Leadership Team
Vanja Josifovski
CEO, Co-founder
Jure Leskovec
Co-Founder and Chief Scientist
Recent News
2025-12-02
Company data provided by crunchbase