Machine Learning Engineer

Bizee (formerly Incfile) is transforming into an AI-powered Operating System for Entrepreneurs, aiming to simplify complexity and anticipate needs. As a Machine Learning Engineer, you will build the intelligence layer, transforming data into insights, models, and automations. You'll design and deploy ML models for intelligent recommendations, workflow automation, semantic search, and entity extraction, working closely with Data Engineering, Platform Engineering, and Product to create real products with applied ML.

Must Have

• Build, train, and deploy ML models (classification, ranking, clustering, NLP, recommendations).
• Manage full ML lifecycle: data prep, feature engineering, training, evaluation, production.
• Own model monitoring, evaluation pipelines, and drift detection.
• Design ML-powered workflows for automation (entity extraction, compliance, predictions).
• Build recommendation systems for founder actions.
• Implement semantic search, retrieval, and document intelligence.
• Leverage event-driven data pipelines for real-time ML signals.
• Build APIs and services for ML outputs.
• Ensure scalable, testable, and reliable ML services with Platform Engineering.
• Translate founder problems into ML opportunities with Product.
• Shape datasets, embeddings, and features with Data Engineering.
• Collaborate with Growth/CX on models for activation, retention, LTV.
• 5-8+ years shipping ML models to production.
• Proficiency in Python, PyTorch/TensorFlow, feature engineering, inference frameworks.
• Strong understanding of modern ML architectures (transformers, retrieval-augmented systems, embeddings).
• Experience deploying ML in production (APIs, microservices, real-time pipelines).
• Familiarity with NLP techniques (classification, summarization, entity extraction).
• Experience with vector stores, semantic search, feature stores, model monitoring.
• Ability to translate complex ML concepts into usable product capabilities.
• Possess a builder’s mindset, comfortable with ambiguity and iteration.

About Bizee

Bizee (formerly Incfile) has helped more than one million entrepreneurs start and manage their businesses. Now we’re evolving from a formation service into an AI-powered Operating System for Entrepreneurs, built to connect ambition to action through intelligent systems that simplify complexity, anticipate needs, and give founders the freedom to build faster.

We move fast, stay close to the customer, and focus relentlessly on building what matters. We build with heart, hustle, grit, and humility, the same qualities that define the entrepreneurs we serve.

The Opportunity

As a Machine Learning Engineer, you’ll help build the intelligence layer at the heart of Bizee’s Entrepreneur Operating System. You will play a key role in transforming fragmented data into insights, models, and automations that anticipate founder needs, simplify workflows, and remove friction from every stage of entrepreneurship.

You’ll work closely with Data Engineering, Platform Engineering, and Product to design and deploy ML models that power intelligent recommendations, workflow automation, semantic search, entity extraction, and more. This is a role for an engineer who loves building real products with applied ML.

What You’ll Own

Model Development & Deployment

• Build, train, and deploy ML models for classification, ranking, clustering, NLP, and recommendation systems.
• Work across the full lifecycle: data preparation, feature engineering, training, evaluation, and production deployment.
• Own model monitoring, evaluation pipelines, and drift detection.

AI-Powered Product Features

• Design ML-powered workflows that automate manual steps for entrepreneurs (e.g., entity extraction, compliance triggers, predictive needs).
• Build recommendation systems that surface the next-best action for founders at the right time.
• Implement semantic search, retrieval, and document intelligence capabilities for documents, filings, and user content.

Platform & Data Integration

• Leverage event-driven data pipelines to deliver real-time ML signals into product experiences.
• Build APIs and services that enable ML outputs to power workflows across the entire platform.
• Collaborate with Platform Engineering to ensure ML services are scalable, testable, and reliable.

Cross-Functional Collaboration

• Partner with Product to translate ambiguous founder problems into ML opportunities.
• Work with Data Engineering to shape datasets, embeddings, and features used in training and inference.
• Collaborate with Growth and CX teams on models that improve activation, retention, and LTV.

What You’ll Bring

• 5-8+ years of experience as an ML Engineer or Applied Scientist shipping models to production.
• Deep experience with Python, PyTorch or TensorFlow, feature engineering, and inference frameworks.
• Strong understanding of modern ML architectures, including transformers, retrieval-augmented systems, and embeddings.
• Experience deploying ML in production via APIs, microservices, or real-time pipelines.
• Familiarity with NLP techniques for classification, summarization, and entity extraction.
• Experience with vector stores, semantic search, feature stores, and model monitoring.
• Ability to translate complex ML concepts into simple, usable product capabilities.
• A builder’s mindset: iterative, resourceful, and comfortable working from zero-to-one in ambiguous environments.

Success Looks Like

Within 6-12 months, Bizee has production-ready ML services powering real product experiences: intelligent workflows, personalized recommendations, semantic search, and document understanding that materially improve activation, retention, and customer outcomes. Models are stable, observable, and continuously improving. The platform becomes meaningfully smarter, and you become a force multiplier across Product, Engineering, and Data accelerating Bizee’s evolution into an AI-powered Entrepreneur Operating System.

Disclaimer:

Bizee is an Equal Opportunity Employer; employment with Bizee is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

The compensation offered to the successful applicant may vary based on factors including experience, skills, education, location, and other job-related reasons.

This employer participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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