Kikoff
Senior Machine Learning Engineer
$257K–$312K
San Francisco +1 · Senior · Full-time · Posted Feb 27, 2026
- Location
- San Francisco
San Francisco, California, United States - Experience
- Minimum of 3 years in machine learning engineering, with a proven track record of deploying ML models in production environments.
- Education
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
About the job
Develop and operate machine learning infrastructure and production models, particularly for cash advance underwriting and other financial services.
What you'll do
- Build and maintain data infrastructure, pipelines, and workflows for machine learning.
- Develop, deploy, monitor, and optimize scalable underwriting and other financial services models; design experiments and A/B tests.
- Collaborate with cross-functional teams and mentor junior engineers.
What they ask for
- At least 3 years of machine learning engineering experience, including deploying models in production.
- Proficiency in Python or Ruby and strong understanding of data structures, algorithms, and software design principles.
- Experience with machine learning frameworks and libraries, MLOps, cloud services, and containerization.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Nice to have
- Advanced degree.
Pay
$257,000 — $312,000 USD (base salary)
Tools
Python, Ruby, TensorFlow, PyTorch, AWS, GCP, Docker, Kubernetes
Model-written summary · the original posting is authoritative