W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.
Job Overview
Job ID: J37713
Specialized Area: Machine Learning
Job Title: Sr. Machine Learning Engineer
Location: San Francisco, CA
Duration: 4 Months
Domain Exposure: Government, Education, IT/Software
Work Authorization: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Responsibilities
As a machine learning engineer, you will help us productionize findings from data science into real-world applications. Your primary responsibility will be to develop and maintain production-quality software to host machine learning and statistical models, and make them available to our platform. You will also help build model training, publishing, and analytics pipelines for a multitude of machine learning models. In addition, you will validate model integrity and monitor performance while providing data scientists with tooling to accelerate their iteration cycles.
In the first 90 days you will:
- Write a new model server to predict repayment rates for returning customers given their previous repayment history.
- Improve A/B testing framework to enable returning customer model testing in real-world scenarios.
- Develop a method to optimize the allocation of funds across different population segments.
Our Tech Stack
Our technology stack consists of modern tools; we are open to technologies and pick the right tool for the job:
- Python for Machine Learning (e.g., Scikit-learn and PyTorch)
- Scala/Java/Python for micro-services and APIs
- Swagger (OpenAPI) for API documentation
- Docker and Kubernetes to package and run services
- AWS for cloud infrastructure
- On-premise servers for data processing and extraction at our partners
Requirements
- Degree in a relevant technical field or equivalent experience.
- Two years of work experience building and deploying production machine-learned models.
- Experience with modern machine learning frameworks like Scikit-learn, Torch, or TensorFlow.
- Understanding of statistical modeling.
- Demonstrable history of building production-quality software infrastructure.
- Experience programming in Python and Java.
ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
Equal Opportunity Employer
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