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Sr Machine Learning Engineer

Underdog: Verified engineers. Interview-ready. Searching confidentially. And companies apply to you
York, NY Full Time
POSTED ON 9/27/2026
AVAILABLE BEFORE 12/22/2026

Lead Machine Learning Engineer (Remote first or hybrid NYC)


Our hiring partner is offering a rare opportunity to architect the future of AI and machine learning for a trusted platform at the heart of the American economy. We are the leading online marketplace connecting professional buyers and sellers of privately held companies ($5M-$100M). Trusted by thousands of the world's top acquirers and M&A advisors, our platform has facilitated millions of connections and hundreds of millions in closed transactions.


In 2024, our platform saw over 10,000 companies pursue an exit. Now, we're searching for you to lead the technical charge in leveraging our unique, proprietary dataset to build a next-generation, AI-powered experience that radically transforms how these businesses find their perfect match.


What You’ll Take On

You will be the pioneering force for ML and advanced technologies within our senior, tight-knit engineering team. Your work will directly upgrade our core matching and recommendation systems, delivering immense value to our users.


  • You will design, develop, and deploy ML/AI-driven models to enhance our matching engines, industry classification systems, and core product features.
  • You will help establish ML and MLOps best practices, laying the technical groundwork for sustained AI/ML development for years to come.
  • You will collaborate closely with product managers, engineers, and business stakeholders to define and execute AI strategies that are directly aligned with our core business objectives.
  • You will optimize AI and machine learning models for performance, accuracy, and scalability, ensuring they integrate reliably into our production platform.
  • You will develop and refine our recommendation systems, applying techniques in NLP, deep learning, and predictive analytics to fundamentally improve buyer-seller matchmaking.
  • You will create clear documentation and visualizations to communicate complex insights and recommendations to both technical and non-technical audiences.


Who You Are

You are a technically excellent leader who thrives on ownership and building from the ground up.

  • You have 5 years of experience using AI/ML and related technologies to materially improve consumer or B2B software experiences.
  • You possess strong production expertise specifically in building, modifying, and scaling machine learning recommendation systems and engines.
  • You are familiar with SQL and data warehouses (e.g., AWS Redshift) for powering AI-driven analytics.
  • You have outstanding problem-solving skills and the ability to work independently and drive initiatives in a fast-paced, collaborative environment.
  • You connect deeply with our core values: Obsessing Over Member Trust, Expecting and Delivering Excellence, believing Communication Matters, Inventing and Simplifying, and Being an Owner.


Our Stack

  • Backend: Python (FastAPI), Postgres (RDS)
  • Frontend: Angular 18 , TypeScript
  • Infra: Terraform, AWS EC2/EKS, OpenTelemetry, Grafana/Prometheus/Loki/Tempo
  • Tools: GitHub, Shortcut, Notion, Slack


What We Offer

  • A Foundational Role: Be the key leader building our AI/ML practice from its early stages, with massive impact on our product and company trajectory.
  • A Senior, Collaborative Team: Join a high-functioning, remote-friendly team of ~20 engineers across three squads. We practice "lite scrum" with daily stand-ups, bi-weekly sprints, and a focus on delivery.
  • Remote-First Flexibility: Our team is distributed across North America. Our NYC office is available for those who prefer it.
  • Competitive Compensation: We offer a strong salary, equity package, and comprehensive benefits.
  • A Culture of Excellence: We are a team of owners who obsess over member trust and strive to deliver excellence in everything we do.


Ready to Build the Future of M&A?

If you are a technical leader who wants to leverage machine learning to solve complex, high-stakes matching problems and directly impact the success of thousands of businesses, we need to speak with you.

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