Staff Machine Learning Engineer (ML Portfolio)
AffirmSalary not specified
- Full Time
- Expert & Leadership (9+ years)
$232,200 – $283,800Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
FintechIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, along with a minimum of 4 years of experience in machine learning, demonstrating strong software engineering skills. Experience with risk modeling specifically for financial use cases is required, and proficiency in ML techniques such as LLMs, deep learning, sequence, and tree-based models is desired, along with knowledge of credit/fraud risk and portfolio management. Advanced skills in Python programming, SQL, and data manipulation are also necessary.
Responsibilities
As a Senior Machine Learning Engineer, you will be responsible for designing, developing, A/B testing, and deploying risk models while collaborating with data scientists to drive data-driven decisions, enhancing credit and fraud models by adding innovative features quarterly, monitoring feature and model health, and communicating changes in model decisions. You will also explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain, and lead by example to foster operational excellence and transformative change, expanding responsibilities as new product needs arise.
Skills
Machine Learning
Risk Modeling
Deep Learning
LLMs
Sequence Models
Tree-based Models
Python
SQL
Data Manipulation
TensorFlow
PyTorch
AWS Sagemaker
Databricks
GCP Vertex AI
Communication
Collaboration
EarnIn
Provides early wage access without fees
About EarnIn
Earnin allows individuals to access their earned wages before payday without any fees or interest. Users can cash out a portion of their earnings and benefit from features like the "Balance Shield," which helps maintain their bank account balance. Unlike traditional financial institutions, Earnin operates on a model where users choose how much to pay for the service, fostering a community-driven approach. The company's goal is to create a fairer financial system that prioritizes accessibility and mutual support.
Palo Alto, CaliforniaHeadquarters
2012Year Founded
$184.9MTotal Funding
SERIES_CCompany Stage
FintechIndustries
201-500Employees