(Full Time) ML Engineer at Inscribe (United States) | BEAMSTART Jobs
ML Engineer
Inscribe United States
Date Posted: 07 Mar, 2023
Work Location: San Francisco, United States
Salary Offered: Not Specified
Job Type: Full Time
Experience Required: 3+ years
Remote Work: Yes
Stock Options: No
Vacancies: 1 available
About Inscribe
Inscribe is a Series B company backed by $38M in venture capital from seasoned Silicon Valley investors. We’re on a mission to create a fair and efficient financial services ecosystem — one that grants more access to “thin file” customers while keeping fraudsters out.
We put people first by fostering an environment that is inclusive of diverse backgrounds, encouraging a sustainable work-life balance, and ensuring our team members have the resources and support to grow.
The Opportunity
As a ML Engineer at Inscribe you’ll apply your technical knowledge to solve real customer problems. You’ll join the Automation team working on our core document automation logic. You’ll work closely with product managers, designers, machine learning experts, and other engineers. You will be responsible for creating new methods of automating document workflows and tuning those models to make fintech onboarding and underwriting efficient.
Responsibilities
- Build new document automation systems
- Collaborate with the team during the research and development process of new systems
- Write well-designed, documented, and testable code
- Monitor and evolve existing production models
- Evaluate and act on customer feedback
- Identify and execute on improvements to the team’s MLOps capability
- Consider security implications in the design and implementation of your software
About You
- Have 3+ years professional experience as a Machine Learning Engineer or in a similar role
- Have experience with machine learning, computer vision, or statistics
- Are naturally curious and willing to dig deeply into a problem to find a solution
- Are thoughtful about code quality and software architecture
- Are familiar with Python or similar programming languages
- Have a degree in Computer Science, Mathematics, Engineering or another relevant field
Nice to Have
- Experience with AWS SageMaker
- Knowledge of the Fintech industry
- Experience building ML Models for document analysis
Benefits
- Competitive salary and meaningful equity
- Comprehensive healthcare
- Flexible working hours and unlimited vacation policy
- 10 company holidays and 1 floating holiday of your choice
- Complete work from home setup
- Wellness and learning stipend
Inscribe provides equity employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type.
#J-18808-Ljbffr