We're a small, senior team of ML engineers, data scientists, and AI architects who care about real-world impact. If you love solving hard problems with great people, let's talk.
We offer what great engineers actually care about: hard problems, real ownership, and a team you can learn from.
Top-of-market salaries, meaningful equity, and performance bonuses that reward great work.
Work from anywhere. We trust our people to get things done without micromanagement or mandatory check-ins.
Annual budget for courses, conferences, certifications, and anything that makes you sharper at your craft.
Medical, dental, and vision coverage for you and your family — fully employer-paid for employee coverage.
Your work ships to Fortune 500 clients and directly affects their business outcomes. No internal tooling or toy projects.
Small, senior, low-ego. Everyone ships and everyone teaches. No bureaucracy, no politics.
All roles are full-time. Most are remote or hybrid with flexibility. Click Apply Now to send your application directly.
Design and build production ML systems for Fortune 500 clients. Full-stack work covering data pipelines, model development, deployment infrastructure, monitoring, and mentoring junior engineers. Strong Python, MLOps tooling, and cloud platform experience required.
Develop predictive models and analytics solutions for clients in finance, healthcare, and retail. Strong statistical background, executive communication skills, and ability to translate complex findings into business recommendations required.
Build ML infrastructure including feature stores, training pipelines, model registries, and monitoring systems. Kubernetes and cloud platform experience (AWS, GCP, or Azure) required. MLflow, Kubeflow, or Vertex AI experience a strong plus.
Lead technical discovery and solution design for enterprise AI initiatives. Translate business requirements into scalable architectures and guide implementation teams. 8+ years of experience and strong client-facing skills required.
We regularly hire for roles not listed here. If you're exceptional at what you do — ML engineering, data science, MLOps, or AI architecture — we want to hear from you.