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Staff Machine Learning Engineer

San Francisco

SpringCube

Full-time - Senior Engineer

Software, SaaS, Cloud & Infrastructure

Posted 1 week ago

$160,000 - $200,000

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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

A leading data and AI technology organization is advancing Generative AI-powered products and intelligent features used by hundreds of thousands of users every day. Its Applied AI team focuses on improving large language model quality, expanding AI capabilities across enterprise products, and building scalable infrastructure that enables reliable AI interactions at scale.

The organization is seeking a Staff Machine Learning Engineer to help drive the next phase of development in Generative AI. The role will contribute to improving LLM quality, expanding AI capabilities across products, and strengthening the underlying platform architecture required to deliver AI-powered experiences at scale.

The successful candidate will have strong expertise in machine learning engineering, language modeling technologies, and scalable ML systems. This position requires the ability to work across the full machine learning lifecycle, from research and experimentation through deployment, monitoring, and continuous improvement.

Key Responsibilities

  • Shape the direction of applied AI initiatives and intelligent features across products.
  • Drive the development and deployment of state-of-the-art AI models and systems that directly improve product capabilities and performance.
  • Develop novel data collection, fine-tuning, and LLM technologies optimized for specific tasks and domains.
  • Design and implement ML pipelines covering data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation.
  • Work closely with AI researchers, ML engineers, product teams, and other cross-functional partners to deliver impactful AI solutions.
  • Build scalable and reusable backend systems that support Generative AI products across the organization.
  • Develop robust logging, telemetry, and evaluation frameworks to ensure reliable model performance.
  • Contribute to rapid experimentation and iteration across machine learning and Generative AI initiatives.

What We’re Looking For

  • 2–8 years of machine learning engineering experience in high-velocity, high-growth environments.
  • Strong relevant ML research experience in academia may be considered as an equivalent qualification.
  • Demonstrated experience working with language modeling technologies.
  • Experience developing generative and embedding techniques, modern model architectures, fine-tuning or pre-training datasets, and evaluation benchmarks.
  • Proficiency in Python, TensorFlow and/or PyTorch, and scalable machine learning architectures.
  • Ability to drive end-to-end model development, from research and prototyping through deployment and monitoring.
  • Strong analytical and problem-solving skills with a passion for improving AI-driven user experiences.
  • Strong coding and software engineering capabilities, including familiarity with testing, code reviews, and deployment practices.
  • Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a plus.

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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Company & Contact

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