Posted a month ago

Job summary

• Job post source

  This job is directly from Stealth Stanford AI Startup

• Job overview

  The Backend Engineer role at Stealth Stanford AI Startup involves building scalable backend systems and APIs to support real-time machine learning infrastructure, contributing to the company's advanced AI technology.

• Responsibilities and impact

  The engineer will design and implement scalable backend systems, build REST and GraphQL APIs, collaborate with product, research, and infrastructure teams, and optimize systems for performance, security, and cost.

• Experience and skills

  Candidates need 2+ years of backend development experience with Python, Java, Go, or Node.js, strong database knowledge, familiarity with Docker and Kubernetes, and cloud service experience; ability to work independently in a remote setting is required.

• Work environment and culture

  The role is remote and fast-paced, implying a dynamic and independent work environment.

• Company information

  Stealth Stanford AI Startup is an advanced AI-driven company focused on real-time machine learning infrastructure at scale.

• Job location and travel

  Remote work environment.

Company overview

Stealth Stanford AI Startup is an emerging company operating in the artificial intelligence sector, founded by experts and researchers affiliated with Stanford University. The company focuses on cutting-edge AI technologies, likely targeting innovative applications in machine learning, natural language processing, or other advanced computational fields. As a stealth startup, it operates in secrecy to protect its intellectual property and maintain a competitive edge, often securing funding from venture capital firms. Candidates should note its ties to Stanford, which highlight its emphasis on academic rigor and groundbreaking research. Understanding its potential focus areas and the startup culture is crucial for applicants.

How to land this job

• Position your resume to highlight your experience with backend development in Python, Java, Go, or Node.js, emphasizing any work on scalable systems and API architecture relevant to machine learning infrastructure.

• Focus on showcasing your skills with relational and non-relational databases like PostgreSQL, Redis, and MongoDB, as well as your familiarity with containerization tools such as Docker and Kubernetes, which are critical for this role.

• Apply through multiple channels including the Stealth Stanford AI Startup corporate website and LinkedIn to maximize your application visibility and chances of being noticed.

• Connect on LinkedIn with engineers and team members in the AI infrastructure or backend division at Stealth Stanford AI Startup; use ice breakers like commenting on recent AI projects they’ve shared or asking about their approach to scaling backend services.

• Optimize your resume for ATS by integrating keywords from the job description such as 'distributed systems,' 'REST and GraphQL APIs,' 'cloud services (AWS, GCP, Azure),' and 'container orchestration' to ensure it passes automated screenings.

• Utilize Jennie Johnson's Power Apply feature to automate tailoring your resume, applying through the best channels, and identifying relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and skill development.