Senior Applied ML/AI Scientist—Autonomous Enterprise AI

Merciv; New York (NY); On-site; Full time

Job description

About Merciv

Merciv is building the intelligence layer for enterprise commerce. We connect an organization's entire data landscape — internal systems, social signals, industry reports, consumer behavior — and surface the insights and automated workflows that used to take analysts weeks.

We raised $14M in seed funding, spent two years in stealth building the right thing, and we're now launching publicly. Our platform already drives 8-figure gross margin improvements for some of the world's largest retailers.

We're a lean, high-ownership team. If you want to see your work matter immediately, this is it.

The Role

You'll build and deploy the intelligent systems at the core of Merciv. Our platform doesn't just surface insights — it reasons, forecasts, and acts autonomously across complex enterprise data landscapes. You'll develop the models and agentic architectures that power demand forecasting, consumer intelligence, competitive analysis, and autonomous decision-making for the world's largest retailers.

This is applied AI at its most impactful. You'll work at the intersection of cutting-edge research and real enterprise deployment, building systems that generate tens of millions in value for clients.

What You'll Do

• Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale

• Develop and iterate on Merciv's agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous action

• Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment

• Architect RAG systems and LLM integrations that power Merciv's natural language interfaces and autonomous workflows

• Collaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scale

• Own model performance end-to-end: monitoring, retraining, and continuous improvement in production

• Stay at the frontier of AI research and bring relevant innovations into the platform

You May Be a Good Fit If

• You have 5+ years of applied ML/AI experience with models deployed in production

• You have an M.S. or Ph.D. in CS, Machine Learning, Statistics, or equivalent practical experience

• You're deeply proficient in Python with hands-on experience in PyTorch, TensorFlow, or scikit-learn

• You have a strong background in statistical analysis, predictive modeling, and time series forecasting

• You've worked on agentic AI systems, multi-agent orchestration, NLP, LLMs, and RAG architectures

• You care about model interpretability and building systems enterprise users can actually trust

• Former technical founders are encouraged to apply — we care more about what you've built than how long you've been building

Bonus points for:

• Background in retail, supply chain, or demand forecasting

• Experience with graph neural networks or knowledge graphs

• Familiarity with MLOps platforms and model serving infrastructure

• Open-source contributions or published research

How We're Different

Most AI platforms bolt intelligence onto existing workflows. We're building the intelligence layer from scratch — connecting every data source an enterprise touches and making it actionable in real time. Our agentic infrastructure doesn't just surface insights; it acts on them. That's a harder problem, and it's the one we're solving.

Why Merciv

• Our platform drives 8-figure gross margin improvements for the world's largest retailers — you'll see real impact fast

• Hard technical problems at the intersection of agentic AI, distributed systems, and enterprise data

• Small team, massive surface area — you own what you build

• Competitive salary, meaningful equity, health/dental/vision, 401k, home office stipend, flexible PTO

• A culture built on craft, intellectual honesty, and real human connection

Interview Process

1. Application reviewed by a human

2. Intro call with our recruiting team

3. Technical conversation with an engineering lead

4. On-site — meet the team, work through a real problem

We Encourage You to Apply

Strong candidates don't always meet every qualification listed. If you're excited about this problem space and have the ML fundamentals, we'd rather talk to you than not. We're building a diverse team on purpose — different perspectives make the product and the company better.

Logistics

• On-site in NYC, 3-5 days/week

• Visa sponsorship available

• Applications reviewed on a rolling basis

Merciv is building the future of autonomous commerce. We're committed to assembling a diverse team of builders who want to revolutionize how the world does business.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.