Grace Hill · 1 day ago
Principal Machine Learning Engineer- HelloData
United States
Full-time
Remote
Senior Level, Lead/Staff
$175K/yr - $250K/yr
5+ years expGrace Hill is looking for a Principal Machine Learning Engineer to support our HelloData product, an automated multifamily market analysis platform. The role involves designing data systems, developing statistical models and ML algorithms, and ensuring the reliability and scalability of data infrastructures.
EducationOnline Portals
Responsibilities
Model Development & Math: Design and implement the statistical models and ML algorithms that drive our market analysis. You are comfortable with the heavy lifting of data science: linear algebra, probabilistic modeling, and predictive analytics
Production-Grade AI/ML: Move beyond notebooks. You will architect how models are trained, versioned, and served in a production environment, ensuring high availability and low latency
Data System Architecture: Partner with the product team and the Principal Software Engineer (Product) to design the data foundations for every new feature. You ensure that our data structures are built for scale before a single UI component is written
Hybrid Leadership: Act as a force multiplier for our full-stack engineers. You will handle the DS-specific complexities of a feature, allowing the rest of the team to build around a robust, well-architected data engine
Enforce Excellence: As we grow, you will define the HelloData standard for data integrity, pipeline observability, and algorithmic transparency
Qualification
Required
Bachelor's in Computer Science, Engineering, Machine Learning, or a related field; Master's preferred
5-10+ yrs relevant Machine Learning experience
Demonstrated success operationalizing ML models within early-stage product ecosystems/start-up SaaS orgs
Strong foundation in statistics, calculus, and linear algebra
Expert-level Python
Deep experience with libraries such as Scikit-learn, PyTorch, and Pandas
Designed deep learning models from scratch (Vision / NLP)
Designed custom objective functions and fine-tuned existing models (BERT, ViT, Swin)
Expert-level PostgreSQL and BigQuery
Understand how to design schemas that support both transactional integrity and analytical performance
Experience building and managing ML pipelines on GCP (Vertex AI, Cloud Run, BigQuery)
Know how to monitor models for drift and performance in the wild
Proficient enough in our backend stack (Node/TS) to ensure your data services integrate seamlessly with the platform
Enjoy the ambiguity of building new things from scratch and have a track record of shipping data-centric products
Know when to use a simple heuristic and when a deep learning model is required
Build for reliability and maintainability
Preferred
Experience in PropTech or Real Estate data
Experience building internal tools or Revenue Ops automation that support sales/CS teams
Benefits
Health, dental and vision insurance
401K
PTO
Life insurance
Disability insurance
And more
Company
Grace Hill
Grace Hill is a privately held company.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2021-05-04Acquired
Leadership Team
Kendall Pretzer
Chief Executive Officer
Kris Vaughn
PolicyPartner Training & Client Services Coordinator
Recent News
MarTech Breakthrough
2025-08-14
2025-04-22
Company data provided by crunchbase