Remote Senior Staff ML Engineer – Scale & Impact

TBK Bank, SSB; United States; Remote; USD 206,261 - 330,017; Full time

Benefits offered by this job

Medical

Dental

Vision

Paid Time Off

401k

Job summary

TriumphPay is seeking a Staff Machine Learning Engineer (open to remote) to design, deploy, and operate scalable ML systems. You will work with product managers and engineers to turn real-world data into robust models, focusing on latency, reliability, and accuracy across large document and transaction datasets.

You will own end-to-end solutions from ideation to deployment, collaborating in a cross-functional team and influencing technical decisions.

Qualifications

• 10+ years of software engineering experience.
• 4+ years with production ML at scale.
• Proven success designing and operating distributed ML systems.
• Strong experience with model deployment patterns and data pipelines.
• Demonstrated ability to influence technical decisions across teams.
• Deep understanding of reliability engineering and production support.

Responsibilities

• Build, deploy, and integrate ML models across production systems.
• Own end-to-end ML initiatives from ideation to deployment.
• Collaborate with product managers and stakeholders to translate customer needs into solutions.
• Ensure models meet latency, reliability, and accuracy requirements.

Skills

Software engineering

Production ML

Distributed systems

Model deployment

Data pipelines

Reliability engineering

Cross-team collaboration

Communication

Tools

PyTorch

PySpark

SageMaker

HuggingFace

FastAPI

Clojure

Ruby

Python

Job description

TriumphPay is seeking a Staff Machine Learning Engineer (open to remote) to design, deploy, and operate scalable ML systems. You will work with product managers and engineers to turn real-world data into robust models, focusing on latency, reliability, and accuracy across large document and transaction datasets.

You will own end-to-end solutions from ideation to deployment, collaborating in a cross-functional team and influencing technical decisions.