Full Stack Developer
2 weeks ago
Job Title: Full-Stack Developer
Location: Palo Alto / Hybrid
Introduction:
Are you ready to redefine the possibilities of AI and machine learning? Join us at Fastino as we pioneer the next generation of language models. Our team, boasting alumni from Google Research, Stanford, Cambridge, and Berkeley, is on a mission to develop specialized, efficient AI systems. If you're passionate about groundbreaking technology and solving AI's hardest problems, we want you on our team
Fastino is backed by leading investors including Microsoft, Insight Partners, NEA, CRV, Valor, Github CEO Thomas Dohmke, and others.
Key Responsibilities:
- Design and develop interactive, scalable web applications using JavaScript, primarily Next.js, React, and Node.js.
- Build and maintain server-side APIs and integrate them with front-end applications.
- Write, test, and deploy machine learning scripts in Python, focusing on models that can drive real-time or batch processing requirements.
- Work closely with data scientists to transform ML models into production-ready scripts, optimizing for performance and scalability.
- Conduct data analysis and preprocessing to ensure model reliability and accuracy.
- Architect, deploy, and maintain production-level infrastructure in cloud environments (AWS, GCP, or Azure) to support both web applications and ML operations.
- Ensure high availability, scalability, and security for deployed applications and services in enterprise environments.
- Adhere to industry best practices in code quality, testing, and documentation.
- Continuously learn and adopt new tools and frameworks to improve development processes and project outcomes.
Requirements:
- Proficiency in JavaScript, with a strong grasp of Next.js, React, and Node.js frameworks.
- Extensive experience with Python, particularly in machine learning and data manipulation libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
- Demonstrable experience in deploying and managing cloud infrastructure on platforms like AWS, GCP, or Azure.
- Knowledge of containerization (Docker, Kubernetes) and orchestration for deploying scalable applications.
- Preferred: Experience with data engineering practices, especially for large-scale data processing.
Professional Experience:
- 3+ years of experience in full-stack development, ideally with a focus on JavaScript frameworks.
- 2+ years of experience in writing and deploying machine learning scripts in Python.
Why Join Us?
- Supportive Environment: Benefit from the resources of Microsoft and venture funding, collaborating with top-tier talent from renowned universities.
- Top-Tier Compute: Enjoy a dedicated GPU cluster for research.
- Impactful Work: Your contributions will directly shape the future of AI applications, making technology more accessible, eco-friendly and dev friendly
- Competitive Benefits: Receive competitive salary, stock options, health benefits, and more.
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