Senior Software Engineer, Data (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer, Data (AI/Python): Building and supporting the data systems underpinning the AI Science Factory with an accent on real-time ingestion, analytical storage, and workflow orchestration. Focus on designing high-performance APIs, scaling diverse database architectures, and optimizing system reliability for large-scale scientific workloads.
Location: Must be based in Cambridge, MA or San Francisco, CA, USA
Salary: $144,000 - $288,000 USD
Company
is building Scientific Superintelligence™ to solve humankind's greatest challenges through an autonomous operating system for science.
What you will do
- Design and build high-performance, secure, and well-documented APIs for AI-driven applications.
- Develop schemas and manage SQL, NoSQL, and Vector databases for optimal performance and scalability.
- Diagnose and optimize system bottlenecks to ensure high availability and low-latency across large-scale workloads.
- Leverage AWS, Kubernetes, and Terraform to build and deploy production-grade systems.
- Collaborate with ML researchers and scientists to integrate data pipelines and infrastructure into scientific workflows.
Requirements
- 5-8+ years of engineering experience building and deploying large-scale backend systems.
- Hands-on experience with AWS, Kubernetes, containerization, and CI/CD (GitHub Actions).
- Proficiency with Python and web frameworks/ORMs such as FastAPI, Django, and SQLAlchemy.
- Experience with orchestration tools like Airflow, Prefect, Temporal, or Dagster.
- Full-stack development experience with React, TypeScript, and Pydantic.
- Must use AI coding assistants to drive productivity.
Nice to have
- Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
- Domain background in life sciences, material sciences, or laboratory software.
- Experience with laboratory devices, robotics, or hardware.
Culture & Benefits
- Competitive base compensation with bonus potential.
- Generous early-stage equity.
- Comprehensive U.S. and International benefits packages.
- Fast-paced startup environment driven by truth, trust, curiosity, grit, and velocity.
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