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Applied ML Engineer

San Francisco

SpringCube

Full-time - Senior Engineer

Software, SaaS, Cloud & Infrastructure

Posted 4 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
An innovative early-stage technology company is seeking an Applied ML Engineer to help build next-generation AI-native products. Founded by an experienced entrepreneur with multiple successful technology ventures, the company is focused on developing cutting-edge AI solutions while fostering a collaborative engineering culture centered on innovation, technical excellence, and continuous learning.

Summary
The Applied ML Engineer will design, build, deploy, and maintain production-ready AI and machine learning solutions. This role involves collaborating with a high-performing engineering team to develop AI-native products, applying best practices in machine learning systems, and contributing to technical leadership through mentorship and knowledge sharing.

Responsibilities

  • Design, develop, deploy, and support AI-native products from concept through production.
  • Build and maintain scalable, high-performance machine learning systems for production environments.
  • Stay current with the latest machine learning research, tools, and industry advancements.
  • Collaborate with engineering teams to deliver innovative AI solutions.
  • Mentor and support fellow machine learning engineers by sharing technical expertise and best practices.
  • Contribute to the continuous improvement of engineering processes and product quality.

Qualifications

  • 5+ years of experience developing, deploying, and supporting production AI and machine learning products.
  • Advanced degree in Machine Learning, Theoretical Computer Science, Mathematics, Physics, or a related field, or equivalent practical experience through significant open-source AI/ML contributions or successful AI product development.
  • Strong expertise in designing, implementing, and maintaining large-scale machine learning systems.
  • Up-to-date knowledge of machine learning research, trends, and emerging technologies.
  • Proven ability to collaborate effectively within high-performing engineering teams.
  • Experience working in startup environments and organizations with strong engineering cultures is preferred.
  • Excellent analytical, problem-solving, and technical decision-making skills.
  • Strong communication and collaboration abilities.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a specialist career platform for AI, Data & Cloud Engineering professionals, connecting top ML, data, and cloud talent with leading tech employers hiring across the San Francisco Bay Area.

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SpringCube Tech Jobs Pte Ltd
  • 10 Anson Road #33-04A
    International Plaza
    Singapore 079903
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