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Engineering

Machine Learning Engineer

Remote (Global)Full-timePosted 2 Jan 2025Remote OK

About the Role

Join our AI team to build the machine learning systems that power SPECLO's personalised fitness recommendations. You'll work on everything from workout optimisation algorithms to computer vision for form analysis. This is a unique opportunity to apply ML to real-world health and fitness problems.

What You'll Do

  • Design and implement ML models for workout personalisation
  • Build data pipelines for training and inference
  • Collaborate with product to identify high-impact ML opportunities
  • Deploy and monitor models in production
  • Stay current with ML research and apply new techniques
  • Document and share knowledge with the broader team

Requirements

  • 3+ years of experience in machine learning engineering
  • Strong programming skills in Python
  • Experience with ML frameworks (PyTorch, TensorFlow)
  • Understanding of classical ML and deep learning techniques
  • Experience deploying ML models to production
  • Strong foundation in statistics and mathematics

Nice to Have

  • Experience with recommendation systems
  • Background in computer vision or time-series analysis
  • Experience with reinforcement learning
  • Publications or contributions to ML research
  • Personal interest in fitness and health

What We Offer

  • Competitive salary + equity package
  • Fully remote - work from anywhere
  • Health insurance stipend
  • Free SPECLO premium membership
  • Home office setup allowance
  • Conference and research budget
  • Annual team gatherings

Interested?

Apply Now

Send your resume to careers@speclo.com

Quick Facts

Department
Engineering
Location
Remote (Global)
Employment Type
Full-time
Salary Range
$160,000 - $200,000 AUD

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