Full-Time

Machine Learning Engineer

Voltai

Voltai

Compensation Overview

$160k - $300k/yr

Palo Alto, CA, USA

In Person

Category
AI & Machine Learning (2)
,
Required Skills
LLM
Machine Learning
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 in production environments.
  • Prior experience working with multi-modal models (e.g., combining text, image, or audio inputs).
Desired Qualifications
  • Background in competitive programming.
  • Contributions to open-source initiatives.
  • Notable awards or publications in leading journals/conferences.
  • Experience thriving in a fast-paced, hyper-growth startup environment.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • Shipping industry faces tightening emission regulations, creating urgent demand for onboard renewable energy solutions.[3]
  • Global maritime sector seeks to reduce fuel costs and emissions simultaneously, positioning Voltai's technology as cost-competitive alternative.[6]
  • Pre-seed funding of CAD $1.83M from Invest Nova Scotia validates technology and accelerates commercial deployment timeline.[5][6]

What critics are saying

  • Ocean Power Technologies and established competitors deploy proven USV solutions with superior market traction and scalability.[1]
  • Creative Destruction Lab program requires $10M+ follow-on funding by mid-2026 amid cleantech VC funding contraction.[1]
  • Philippine EV battery-swap venture with Aboitiz Power dilutes focus from core marine energy business with uncertain returns.[2]

What makes Voltai unique

  • Proprietary electrostatic generator achieves higher energy density than competing kinetic harvesters with lower cost per kWh.[1][5]
  • Compact, modular system installs on vessels without adding drag, scaling from 25W to several megawatts.[3][6]
  • Converts both ocean waves and vessel vibrations into electricity, addressing dual energy sources competitors cannot efficiently capture.[5][6]

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