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**Parse AI Company Summary**
Title research and lease document analysis is a critical requirement for acquiring land rights but remains a painfully slow and outdated manual process. Parse AI provides a cloud-based platform that enables users to expedite title research necessary for completing a wide variety of real property transactions. Customers in the energy and real estate industries gain a comprehensive perspective on leasehold ownership and obligations and can confirm real property ownership at a fraction of the time and cost.
**Engineering Team Mission Statement**
The engineering team will grow the Parse AI platform to provide scalable solutions for pay-as-you-go and subscriptions customers looking to obtain title research for property transactions in the energy and real estate industries.
**Machine Learning Engineer Job Description**
Parse AI is recruiting for a Machine Learning Engineer position to help build and integrate new machine learning models into our existing platform. You will work with a team of ML engineers under the company CTO in collaboration with Parse AI’s co-founders to further develop our internal machine learning capabilities. You will have the ability to work on real-world datasets from day one and be responsible for building our machine learning models.
**Roles and Responsibilities**
- Collaborate on machine learning model development, employing client feedback to inform decision making and new model development.
- Assist with data architecture and management.
- Participate in weekly all-hands meetings to provide the team with a clear understanding of technical goals, objectives, and progress.
**Secondary Responsibilities**
- Assist with the development of essential features, server interactions, scripts, deployment stage maps, and SSHs to build solutions that solve initial client problems.
- Help manage initial DevOps and cybersecurity for the company.
**Qualifications**
- Bachelor’s Degree (preferred)
- 3 years+ experience required in Python for ML/NLP
- Experience working with Pytorch
- Knowledge of database architecture and setup
**Bonus Points If You Have**
- Advanced graduate degree in a quantitative field
- 3 years+ experience with Node.js, React, and Typescript
- Cloud solutions expertise (3+ years experience in AWS or GCP)
- Understanding of front-end architecture
- Solid background in early-stage product development strategy
- Tensorflow experience
- Team management experience
- Title research experience
- Lease analysis experience
- Division order analysis experience
**The Terms**
- The Machine Learning Engineer will initially be contracted on a monthly basis at a competitive rate commensurate with their experience and capabilities with the goal of a full-time contract or employment agreement.
**Job Types**: Full-time, Part-time, Contract
Contract length: 6 months
Part-time hours: 20-40 per week
Pay: $6,000,000.00 - $20,000,000.00 per year
**Education**:
- Bachelor's (preferred)
**Experience**:
- Python: 3 years (preferred)
- SQL: 3 years (preferred)
- Natural language processing: 1 year (preferred)
- Machine learning: 2 years (preferred)
**Language**:
- English (preferred)
