Senior ML/AI Engineer

Location: New York, NY
Company Stage of Funding: Seed Stage AI Startup ($14M Raised)
Office Type: Onsite (5 Days Per Week)
Salary: $170,000–$230,000 + Competitive Equity

Company Description

We're representing a fast-growing AI startup building an enterprise intelligence platform that helps global brands transform fragmented consumer data into actionable business insights. Their AI-native platform unifies internal research, syndicated datasets, social signals, and other structured and unstructured data sources into a single source of truth, enabling organizations to make faster, more informed decisions across forecasting, marketing, product strategy, inventory optimization, and innovation.

Having recently raised a $14 million seed round and secured Fortune 500 customers including Gap, LG, and Xfinity, the company is expanding its AI engineering team to build the intelligent systems that power autonomous decision-making at enterprise scale. This is an opportunity to become one of the earliest AI hires and help define the company's core machine learning architecture.

What You Will Do

• Design, build, and deploy production machine learning models for demand forecasting, time series prediction, consumer intelligence, and anomaly detection.
• Develop agentic AI systems capable of reasoning across heterogeneous enterprise datasets and autonomously generating business insights.
• Architect scalable ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and continuous monitoring.
• Build retrieval-augmented generation (RAG) systems and LLM-powered workflows that enable natural language interaction with complex enterprise data.
• Collaborate closely with backend engineers to productionize machine learning models with high reliability, scalability, and low latency.
• Own model performance throughout the full lifecycle, including monitoring, retraining, experimentation, and continuous optimization.
• Evaluate emerging AI research and incorporate new techniques into production systems where appropriate.
• Design scalable AI infrastructure that supports enterprise-grade deployments and long-term platform growth.
• Partner with product and engineering teams to translate customer needs into intelligent AI capabilities.
• Help shape the long-term technical direction of the company's AI platform as an early engineering leader.

Ideal Background

• 5+ years of professional experience building and deploying production machine learning systems.
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
• Strong proficiency in Python and modern machine learning frameworks.
• Experience architecting end-to-end ML systems rather than solely deploying pretrained models.
• Proven experience building production AI systems that combine research with practical business applications.
• Strong understanding of model training, evaluation, feature engineering, and production deployment.
• Experience working with SQL and large-scale structured datasets.
• Familiarity with Go or willingness to contribute within a Go-based engineering environment.
• Excellent communication skills and ability to collaborate across engineering, product, and business teams.

Preferred

• Experience building agentic AI systems, autonomous workflows, or AI reasoning frameworks.
• Hands-on experience with graph databases, knowledge graphs, or graph-based machine learning.
• Experience developing retrieval-augmented generation (RAG) architectures and LLM-powered enterprise applications.
• Startup experience or previous work at organizations with high engineering standards.
• Background at companies specializing in AI infrastructure, data platforms, enterprise search, or machine learning systems.
• Experience with PyTorch, TensorFlow, scikit-learn, LangChain, or similar AI frameworks.
• Strong systems thinking with experience designing scalable AI infrastructure from the ground up.
• Passion for solving complex enterprise AI problems with measurable business impact.

Compensation and Benefits

• Base salary: $170,000–$230,000.
• Competitive equity package.
• Five-day onsite collaboration in SoHo, New York City.
• Opportunity to become one of the first AI engineers at a well-funded, high-growth startup.
• Work directly with founders on the core AI architecture powering enterprise customer solutions.
• Significant ownership over machine learning strategy, infrastructure, and production AI systems.
• Exposure to cutting-edge work in agentic AI, graph intelligence, and enterprise-scale machine learning.
• Opportunity to build AI systems that directly influence strategic decisions for Fortune 500 organizations.