Machine Learning Engineer

Job not on LinkedIn

November 20

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Bizee powered by Incfile

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B2B • Finance • Legal

Bizee powered by Incfile is a company that specializes in assisting entrepreneurs in forming and managing their businesses. They offer a variety of business formation services including LLCs, S-Corporations, C-Corporations, and Nonprofits, while providing essential tools for business management such as virtual addresses, EINs, business licenses, and trademark registrations. Bizee also supports businesses with compliance services like registered agent services, annual reporting, and amendments. With a focus on making business formation easy and affordable, Bizee serves as a comprehensive service provider for startups and small businesses, guiding them from inception to growth with resources like tax consultations and bookkeeping support. Founded in 2004, Bizee commits to customer satisfaction with extensive support options and a strong industry reputation.

11 - 50 employees

Founded 2004

🤝 B2B

💸 Finance

📋 Description

• Help build the intelligence layer at Bizee’s Entrepreneur Operating System • Transform fragmented data into insights, models, and automations • Work closely with Data Engineering, Platform Engineering, and Product to design and deploy ML models • Build and deploy ML models for classification, ranking, clustering, NLP, and recommendation systems • Design ML-powered workflows that automate manual steps for entrepreneurs • Build recommendation systems that surface next-best actions for founders • Implement semantic search, retrieval, and document intelligence capabilities • Leverage event-driven data pipelines to deliver real-time ML signals • Build APIs and services to enable ML outputs to power workflows • Collaborate cross-functionally to translate ambiguous founder problems into ML opportunities

🎯 Requirements

• 5-8+ years of experience as an ML Engineer or Applied Scientist • 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

🏖️ Benefits

• Equal Opportunity Employer • E-verify participation • Compensation based on factors like experience and skills • No discrimination based on protected statuses