Machine Learning Engineer

Volt AI
Palo Alto
Workplace: OnsiteFull timeUSD 160,000 - 300,000 annuallyFunction: Data Science & Machine LearningSkills: ["LLMs","Multimodal models","Production deployment"]

We are seeking a Machine Learning Engineer to deliver AI/ML projects from concept to production, with hands-on experience fine-tuning and deploying large language models (LLMs) and multimodal models. The role focuses on building production-ready ML systems for Voltai’s hardware-centric AI platform, collaborating with a high-caliber team in a fast-paced startup environment.

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Volt AI
Volt AI
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Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

We are seeking a Machine Learning Engineer to deliver AI/ML projects from concept to production, with hands-on experience fine-tuning and deploying large language models (LLMs) and multimodal models. The role focuses on building production-ready ML systems for Voltai’s hardware-centric AI platform, collaborating with a high-caliber team in a fast-paced startup environment.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and deploy ML models into production, ensuring reliability and scalability.
  • •Fine-tune and optimize large language models and multimodal architectures for real-world tasks.
  • •Collaborate with research and engineering teams to translate experiments into deployable systems.
  • •Evaluate model performance, iterate on data pipelines, and monitor in production environments.
  • •Contribute to open-source initiatives and stay current with AI/ML advances.

Pay and Benefits

Salary: USD 160,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs.
  • •Proven track record of delivering AI/ML projects from concept to production.
  • •Hands-on experience fine-tuning and deploying large language models (LLMs) in production environments.
  • •Prior experience working with multi-modal models (e.g., combining text, image, or audio inputs).
  • •Bonus points for background in competitive programming or contributions to open-source initiatives.
Skills:LLMsMultimodal modelsProduction deployment

Company Brief

Volt AI
Builds AI-driven software and solutions to automate business workflows, extract insights, and augment decision-making for enterprise customers across industries.
Industry: Enterprise Software
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