Senior Machine Learning Engineer

at  clicklease

At Clicklease, we’re on a unique mission – to empower the small business owners often overlooked by traditional lenders. If you’re considering joining our team, envision yourself at the heart of our vibrant headquarters in West Valley City, UT, or contributing to our impactful operations from Radial, Alajuela, Costa Rica. At Clicklease, we’ve cultivated a dynamic work environment that goes beyond routine services. At Clicklease, you’ll play a pivotal role in transforming equipment financing into a gateway for entrepreneurs to turn their dreams into reality. If you’re passionate about purpose-driven work, innovation, and making a tangible impact, Clicklease is where your career journey begins.

JOIN US IN SHAPING A FUTURE WHERE EVERY BUSINESS OWNER HAS THE OPPORTUNITY TO THRIVE.

Hey Innovators! Are you passionate about leveraging machine learning to drive impactful solutions in finance? Clicklease is looking for a Senior Machine Learning Engineer to spearhead the development of advanced models for decision-making and risk management. Bring your expertise in TensorFlow, PyTorch, and statistical modeling to the table and join us in revolutionizing the future of financial services!
Compensation: $140,000 - $180,000
Modality: Hybrid (3 days in office, 2 days remote)
FLSA Exemption: Exempt
Schedule: Monday to Friday, 9:00 AM - 5:00 PM

• Design and implement advanced machine learning models to enhance decision-making processes in leasing and credit risk evaluation.
• Analyze and predict lease portfolio performance using data-driven techniques, improving risk management and operational efficiency.
• Develop algorithms for automating credit risk assessments, incorporating a wide range of data sources and statistical methods.
• Collaborate with cross-functional teams to integrate machine learning insights into the company’s strategic planning and operational frameworks.
• Lead the enhancement of machine learning capabilities within the risk management domain, focusing on continuous improvement and innovation.
• Provide technical leadership and mentorship to machine learning and data science teams, promoting a culture of excellence and innovation.
• Stay at the forefront of machine learning and artificial intelligence advancements, applying cutting-edge research and techniques to solve complex risk management challenges.
• Ensure the robustness and scalability of machine learning models and systems, adhering to best practices in model governance and compliance.