Middesk

About Middesk

Streamlining business verification and credit checks

🏢 Tech👥 21-100 employees📅 Founded 2019📍 Financial District, San Francisco, CA💰 $77.2m4.3
FintechCredit ScoringB2BEnterpriseFinancial ServicesIdentity

Key Highlights

  • Headquartered in San Francisco's Financial District
  • $77.2 million raised from investors like Sequoia and Accel
  • Focus on compliance and risk management for businesses
  • Partnership with challenger bank tech platform Agora Services

Middesk is a fintech company headquartered in the Financial District of San Francisco, CA, specializing in business credit check and verification services. With $77.2 million in funding from prominent investors like Sequoia and Accel, Middesk helps businesses streamline risk and compliance checks, p...

🎁 Benefits

Middesk offers a variety of benefits including stock options for all full-time employees, unlimited PTO, and three months of paid parental leave. Empl...

🌟 Culture

Middesk fosters a culture focused on solving real-world business challenges through technology. With a strong emphasis on compliance and risk manageme...

Overview

Middesk is hiring a Machine Learning Engineer to take end-to-end ownership of the ML lifecycle, from feature design to deployment. You'll work with Python and machine learning frameworks to build AI-driven applications for business onboarding and fraud prevention.

Job Description

Who you are

You have a strong background in machine learning and data science, with hands-on experience in building and deploying ML models. You understand the intricacies of the ML lifecycle, from feature design to model development and production monitoring. Your expertise includes tackling classification challenges such as imbalanced labels and cold start problems, ensuring that your models are robust and effective in real-world applications.

You thrive in collaborative environments, working closely with product managers, engineers, and data platform teammates to bring ML systems to life. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an invaluable team member. You are passionate about leveraging data to drive business outcomes and improve customer experiences.

Desirable

Experience in B2B SaaS environments, particularly in building ML products for enterprise customers, is a plus. Familiarity with graph-based feature generation or AI agent workflows will set you apart. You have a keen interest in scaling ML solutions across multiple products or risk domains, contributing to the overall success of the organization.

What you'll do

In this role, you will take full ownership of the machine learning lifecycle, from concept to production. You will design and develop ML models that power business onboarding and fraud prevention, ensuring they are scalable and efficient. Your responsibilities will include monitoring model performance and iterating on features based on real-world feedback.

You will collaborate with cross-functional teams to identify opportunities for ML integration into existing products, driving innovation and enhancing customer experiences. Your work will have a direct impact on the company's ability to verify business identities and reduce risk at every stage of the customer lifecycle.

You will also engage in continuous learning and experimentation, staying updated on the latest advancements in machine learning and data science. Your contributions will help shape the future of Middesk's AI-driven applications, making a significant difference in how businesses operate.

What we offer

Middesk provides a dynamic work environment where you can make a tangible impact. You'll have the opportunity to work with cutting-edge technologies and be part of a team that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse perspectives lead to better solutions.

Join us in transforming business identity verification and enjoy the benefits of working at an early-stage company backed by leading investors. We offer competitive compensation and a supportive culture that fosters professional growth.

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