Senior Machine Learning Engineer - Risk Modeling
EarnIn$209,000 - $255,400/year
- Full Time
- Senior (5 to 8 years)
$349,000 – $558,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should have a Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, with an advanced degree preferred. A minimum of 3 years of experience in machine learning engineering is required, demonstrating a proven track record of deploying ML models in production environments. Proficiency in programming languages such as Python or Ruby is essential, along with a strong understanding of data structures, algorithms, and software design principles. Experience with machine learning frameworks like TensorFlow or PyTorch, familiarity with MLOps practices, and knowledge of cloud services such as AWS or GCP are also necessary. Strong analytical and problem-solving skills are required, along with excellent verbal and written communication skills.
Responsibilities
The Senior Machine Learning Engineer will design, build, and maintain the infrastructure for optimal data extraction, transformation, and loading. They will develop and manage data pipelines and workflows for machine learning models. The role includes designing, developing, and implementing machine learning models for underwriting and other financial applications, ensuring that models are robust, scalable, and maintainable. Collaboration with data scientists, software engineers, and product managers is crucial to integrate machine learning models into production systems. The engineer will monitor and evaluate the performance of deployed models, implement processes for continuous improvement, and design experiments for model optimization. Additionally, they will provide mentorship to junior engineers, fostering a culture of learning within the team.
Skills
Python
TensorFlow
PyTorch
AWS
Docker
Kubernetes
Machine Learning
Data Structures
Algorithms
Software Design
MLOps
Data Analysis
Statistical Analysis
Kikoff
Credit building services for individuals
About Kikoff
Kikoff helps individuals, especially those with low or no credit, build a positive payment history and improve their credit scores. Its services are user-friendly and do not require credit checks, making them accessible to a wide range of clients. Kikoff offers tools for credit management, including easy disputing, rent reporting, and credit monitoring reports, along with an optional Autopay feature. The company's goal is to empower users to take control of their credit journey and achieve significant improvements in their credit scores.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$41.3MTotal Funding
SERIES_BCompany Stage
Fintech, Financial ServicesIndustries
51-200Employees