Join the Mission

We are building the future of trustworthy AI. If you are driven by curiosity, rigor, and a desire to make a real-world impact, you belong here.

Open Positions

Current opportunities to join our team

Senior Research Scientist (Bayesian AI)

Remote / Philadelphia, PA, US Full-time

Lead research initiatives in Bayesian Deep Learning and Uncertainty Quantification. You will publish in top-tier conferences (NeurIPS, ICML) and collaborate with engineering teams to translate theoretical breakthroughs into production systems.

Key Responsibilities

  • • Develop novel Bayesian neural network architectures for uncertainty estimation in safety-critical systems.
  • • Lead research projects from conceptualization to publication in top-tier venues (NeurIPS, ICML, ICLR).
  • • Collaborate with engineering teams to implement probabilistic models in production environments.
  • • Mentor junior researchers and engineers.

Qualifications

  • • Ph.D. in Computer Science, Statistics, Mathematics, or related field.
  • • Strong publication record in Bayesian Deep Learning or Probabilistic Machine Learning.
  • • Proficiency in Python and PyTorch/TensorFlow.
  • • Experience with variational inference, MCMC, or ensemble methods.
Python PyTorch Bayesian Methods Research
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AI Systems Engineer

Remote Full-time

Build and optimize the infrastructure that powers our large-scale AI models. You will work on model deployment, inference optimization, and ensuring the reliability of our mission-critical systems.

Key Responsibilities

  • Design and maintain scalable infrastructure for training and deploying large language models.
  • Optimize inference latency and throughput using techniques like quantization and model distillation.
  • Manage Kubernetes clusters and orchestrate containerized workloads.
  • Build robust CI/CD pipelines for machine learning workflows (MLOps).

Qualifications

  • B.S./M.S. in Computer Science, Engineering, or equivalent experience.
  • Strong proficiency in Python and containerization technologies (Docker, Kubernetes).
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Familiarity with ML frameworks (PyTorch, TensorFlow) and serving tools (Triton, TorchServe).
Kubernetes Docker Python MLOps
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Full Stack Developer

Remote Contract / Full-time

Develop intuitive interfaces for our complex AI tools. You will work with React, Next.js, and modern web technologies to create seamless user experiences for researchers and enterprise clients.

Key Responsibilities

  • Build responsive, high-performance web applications using React, Next.js, and TypeScript.
  • Design and implement interactive data visualizations for complex AI model outputs.
  • Collaborate with researchers and designers to translate technical requirements into user-friendly interfaces.
  • Ensure cross-browser compatibility and optimize application performance.

Qualifications

  • 3+ years of experience in full-stack web development.
  • Expertise in React, Next.js, TypeScript, and modern CSS frameworks (Tailwind).
  • Experience with data visualization libraries (D3.js, Recharts, or similar).
  • Strong understanding of RESTful APIs and WebSocket integration.
React TypeScript Node.js UI/UX
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