Machine Learning Engineer

About Us

Fermions

We are an early-stage deep-tech startup, backed by Canada’s startup ecosystem, and are assembling a global team to build the future of chip design.

ML Engineer (with Full Stack Skills)

Machine Learning Engineer

Responsibilities

• Research, design, and implement

  AI/ML models

  (e.g., LLMs, transformers) for chip design automation.
• Develop pipelines to train, fine-tune, and deploy models.
• Collaborate with the founding team to integrate AI solutions into the

  SAiGE platform

  .
• Contribute to

  frontend + backend development

  (React/Node/Python stack) to bring AI features to life.
• Build scalable APIs and ensure smooth integration of ML modules into production.
• Optimize performance, scalability, and reliability of deployed ML models.

Required Skills

• Strong ML/AI background:
• Python (PyTorch / TensorFlow)
• NLP, LLMs, Transformers, LangChain (nice to have)
• Model training, fine-tuning, deployment (APIs, Docker, cloud).
• Solid

  Full Stack Development skills

  :

• Frontend:

  React.js / Angular / Vue.js

• Backend:

  Node.js / Django / Flask

• Databases:

  PostgreSQL / MongoDB
• Ability to build

  end-to-end systems

  , not just prototypes.

Nice-to-Have

• Knowledge of

  EDA / semiconductor design workflows

  .
• Familiarity with

  Electron.js

  (desktop app development).
• Prior experience in a

  startup or research-driven project

  .
• Contributions to

  open-source projects

  .

Who Should Apply?

This role is best suited for:

• An

  ML Engineer who codes full stack

  and is excited to apply AI to real-world problems.
• Someone who has

  3–6 years of experience

  in ML + software engineering OR a strong researcher with proven development experience.
• Individuals who thrive in

  early-stage startup environments

  , love building quickly, and want to make a global impact.

Commitment

• Part-time (15–20 hours/week)

  to start.
• Remote (India-based).
• Potential to grow into a

  founding team member

  with equity.

Why Join Us?

• Opportunity to

  pioneer AI in semiconductors

  , one of the world’s most critical industries.
• Direct collaboration with the

  founding team

  (semiconductor R&D + product + AI/ML backgrounds).
• Flexible work setup, with potential for

  long-term growth and equity

  .