About Ataraxis AI
Ataraxis AI is a VC-backed start-up working at the intersection of multi-modal AI, oncology, and precision medicine. We are building cutting-edge diagnostic tools to assist physicians in selecting the most optimal treatments for their patients.
We are a team of AI researchers, medical doctors and operators advised by a team of advisors who are pioneers in their respective fields, including the AI godfather, Yann LeCun, and oncologists at top cancer research institutes.
At Ataraxis, you will have a unique opportunity to shape not just the future of our company, but the future of healthcare. We are looking to bring on highly motivated candidates to fulfill this mission.
We operate with a flat organizational structure where every team member is expected to actively contribute. Leadership roles are earned by those who demonstrate initiative and deliver consistently high performance. Strong work ethic and the ability to prioritize effectively are essential. All candidates must communicate clearly, sharing insights accurately and concisely with teammates. We don’t use recruiters — each application is reviewed personally by a relevant team member and/or founders.
Responsibilities
- Lead the development and maintenance of scalable web applications for Ataraxis products.
- Build seamless and responsive UIs using modern JavaScript frameworks.
- Build and optimize large-scale data upload and integration systems.
- Configure, optimize, and monitor the deployment of ML models.
- Ensure web app and data security and compliance with SOC 2 Type II, ISO, HIPAA, GDPR.
Required
- Proficiency with Google Cloud Platform and serverless computing technologies for scalable MLops workflows.
- Proficiency with modern JavaScript frameworks (React, Angular, or Vue).
- Strong backend development skills. Preferred candidates with Python experience and familiarity with Python frameworks.
- Solid understanding of operating systems, networking, and distributed computing.
- Solid understanding of event-driven architecture with tools like GCP Pub/Sub or Kafka.
- Experience with databases such as Firebase and PostgreSQL.
- Competency with containerization and deployment using Docker and Kubernetes.
- Preferred: PyTorch experience.
- Preferred: Good understanding of linear algebra, calculus, and probability.
Compensation Range: $97K - $189K
