Backend ML Engineer — AI at Scale (1–2 yrs)

Stealth Startup; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Stealth Startup is seeking a Machine Learning Engineer to design, deploy, and scale AI-powered products with strong backend engineering skills. You will work with cross-functional teams to ship production-grade ML features for real-world users.

You will build data pipelines, APIs, and scalable services, optimize models for latency and reliability, and maintain high-quality code. 1–2 years of experience and a solid foundation in ML frameworks are expected.

Qualifications

• 1–2 years of professional software engineering or machine learning experience.
• Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong programming skills in Python and/or Java, Go, or C++.
• Experience building backend services using modern frameworks (FastAPI, Flask, Django, Spring Boot, etc.).
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Familiarity with REST APIs, distributed systems, and cloud platforms (AWS, GCP, or Azure).
• Experience with SQL/NoSQL databases and version control (Git).

Responsibilities

• Design, develop, and deploy machine learning models into production.
• Build and maintain scalable backend services and APIs that power AI applications.
• Develop data pipelines for training, inference, and model evaluation.
• Optimize model performance, latency, and reliability in production.
• Collaborate with product, infrastructure, and software engineering teams to deliver end-to-end AI features.
• Monitor production systems and continuously improve model accuracy and backend performance.
• Write clean, maintainable, and well-tested code.

Skills

Python

Java

Go

C++

PyTorch

TensorFlow

JAX

REST APIs

Distributed systems

Git

SQL/NoSQL

Problem-solving

Communication

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field

Tools

Docker

Kubernetes

CI/CD

MLOps tools

Job description

Stealth Startup is seeking a Machine Learning Engineer to design, deploy, and scale AI-powered products with strong backend engineering skills. You will work with cross-functional teams to ship production-grade ML features for real-world users.

You will build data pipelines, APIs, and scalable services, optimize models for latency and reliability, and maintain high-quality code. 1–2 years of experience and a solid foundation in ML frameworks are expected.