Machine Learning Engineer - Mission-Driven Series A Startup NYC
Machine Learning Engineer - Mission-Driven Series A Startup NYC
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$ 180000 - 220000
1 Vacancy
Job Description
Machine Learning Engineer
Join a MissionDriven Series A Startup Transforming Main Street
Who We Are
Were a wellfunded Series A startup backed by top tech founders and renowned entrepreneurs across industries. Our mission To help small business owners take control of their future and push back against the corporate giants that have dominated Main Street for too long.
Based in Lower Manhattan we are a closeknit onsite team that thrives on collaboration and innovation.
The Role
Were looking for a Machine Learning Engineer to develop and deploy endtoend ML pipelines and models using diverse datasets including alternative data sources. Youll also be responsible for establishing and optimizing our MLOps infrastructure to ensure efficiency scalability and reliability.
What Youll Do
- Design develop and deploy ML models into production ensuring efficient retraining optimization and testing.
- Build and enhance MLOps tooling for automation monitoring and scaling of ML workflows.
- Work with alternative data sources to improve predictive capabilities.
- Communicate complex ML concepts clearly to both technical and nontechnical stakeholders.
What You Bring
- Proven experience deploying endtoend ML pipelines/models in production.
- Handson experience with MLOps tools and best practices.
- Strong communication skillsyou can explain technical reasoning to any audience.
- A missiondriven mindsetyou want your work to have a realworld impact.
- Preferred: A degree in Computer Science Engineering or a related STEM field.
- Bonus: Experience in PropTech FinTech Financial Services or Insuranceif youve worked at a company that delivers lines of credit youll do well here.
What We Offer
- $180000 $220000 base salary
- Significant equity own a meaningful stake in the companys future
- 401(k) plan
- Fully covered benefits (Health Dental Vision)
Employment Type
Full Time
