Triumph · 1 day ago
Machine Learning Engineer (MLE) - Open to Remote
United States
Full-time
Remote
Mid, Senior Level
$151K/yr - $234K/yr
4+ years expTriumph is a company focused on creating a seamless freight transaction network. They are seeking an experienced Machine Learning Engineer to develop and optimize ML models that enhance logistics technology and ensure the efficiency of deployed models.
BankingCommercial LendingFinancial ServicesPayments
Responsibilities
Research and identify new business features to enhance prediction accuracy
Monitor and maintain deployed ML models, ensuring accuracy and efficiency
Automate ML pipelines and manage the entire model lifecycle
Develop complex business logic in Python to integrate models into a company's processes
Scale and optimize the performance of existing models (RPS, memory consumption) for strict latency requirements and high precision
Translate complex ML roadmap items and model performance metrics into clear, actionable insights for non-technical stakeholders
Qualification
Required
Strong communication skills with the ability to explain the 'why' behind technical decisions to diverse audiences
4+ years of software engineering experience
Deep knowledge of core tools including Python, SQL, Jupyter Notebooks
Strong visualization and storytelling skills such as Matplotlib and Seaborn
End-to-end ML development and deployment experience
Familiarity with ML algorithms and methodologies such as neural networks, time series, gradient boosting, and random forest
Strong mathematical foundations include linear algebra, probability, statistics, and optimization
Experience developing and deploying production-grade ML solutions using Docker, Kubernetes, AWS S3, and thorough unit testing
Ability to work core hours on Eastern Standard Time (EST) to facilitate a 3–4 hour daily overlap with our EU-based engineering team
Preferred
Experience leading an engineering team or running consulting practice
Active engagement with industry articles, research papers, and participation in competitions (e.g., Kaggle)
Experience optimizing and monitoring model behavior using sophisticated hyperparameter tuning methods and specialized anomaly detection techniques
Previous work in the logistics or supply chain domain
Exposure to modeling market dynamics and economic trends
Prior application of sophisticated hyperparameter tuning methods and specialized anomaly detection techniques
Familiarity with AWS as a primary cloud platform for deploying and scaling ML workloads
Benefits
Medical
Dental
Vision
Paid Time Off
401k
Company
Triumph
Triumph is a financial and technology company serving the transportation industry with pioneering payments, factoring, intelligence and banking solutions, powered by The Triumph Network.
1001-5000 employees
H1B Sponsorship
Triumph has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (2)
2021 (2)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Mitchell Lee
EVP, Chief Risk and Compliance Officer
Recent News
GlobeNewswire
2025-12-12
2025-12-11
Company data provided by crunchbase