Machine Learning Engineer
Remote
Full Time
#Product
#Engineering
#AI
#NLP
#AWS
#GCP
#Python
#TensorFlow
#Keras
#PyTorch
#Machine Learning
We're building the AI layer that will finally bring the $5-trillion construction-products market online. At Parspec, our platform turns mountains of unstructured product data into clear, actionable intelligence so designers, builders, and suppliers can move faster from concept to close. Backed by deep-tech investors and led by veterans from Katerra and Stanford, we’re a small, ambitious team rewriting how one of the world’s oldest industries buys and sells.
Role at a glance
We’re hiring a Lead Machine Learning Engineer to own the design, training, and deployment of production-grade AI systems. This is a full-time, remote role open to candidates anywhere, though occasional overlap with IST hours is expected for global collaboration.
Your impact
- Design and ship computer-vision, NLP, and recommendation models that match or exceed state-of-the-art performance while staying cost-effective at scale.
- Build complete, end-to-end data and ML pipelines-from raw PDFs and images to live model services on AWS or GCP-ensuring reliability, monitoring, and rapid iteration.
- Partner daily with product, design, and engineering teammates to turn research ideas into customer-facing features that help the supply chain generate and close deals faster.
What you'll need
You bring at least three years of hands-on experience building and shipping deep-learning systems, plus a bachelor’s or master’s degree in a technical field. You’re fluent in Python and comfortable with NumPy, pandas, scikit-learn, and at least one major framework-TensorFlow/Keras or PyTorch. You’ve trained and deployed models for computer vision or NLP, and you know how to productionize them on cloud platforms like AWS or GCP. Clear, maintainable code is second nature, and you thrive when given ownership from concept through launch. Bonus points if you’ve worked with Django, OCR pipelines, or large distributed teams across time zones.
Perks and compensation
- Remote-first flexibility with hybrid-office options and flexible hours
- Learning budget for courses, conferences, and upskilling
- Comprehensive health coverage for you and your immediate family, plus free teleconsultations
- Company equity so you share in the upside as we scale
- Unlimited PTO to recharge when you need it






