Staff ML Engineer: Platform & Scalable ML (Remote)

SmarterDx; New Zealand; Remote; NZD 202,258 - 252,823; Full time

Benefits offered by this job

Medical, Dental & Vision

Paid Parental Leave

Unlimited PTO & 10 Holidays

401(k) with 4% match

Minimal Bureaucracy

Job summary

SmarterDx is seeking a Staff Software Engineer specialized in Machine Learning, fully remote within the US. The ideal candidate will build machine-learning features, design architecture to accelerate development, and mentor team members.

You should have over 10 years of experience in software development with proficiency in Python and SQL, along with a strong background in machine learning libraries like PyTorch and TensorFlow.

Benefits include comprehensive medical coverage, unlimited PTO, and a remote-first work environment.

Qualifications

• 10+ years of development experience with a focus on Machine Learning.
• Strong proficiency in Python and SQL.
• Experience managing the full model production lifecycle.
• Excellent collaboration and communication skills.

Responsibilities

• Build and scale machine‑learning driven features across products.
• Design reusable architecture for machine learning development.
• Set ML practices at SmarterDx and mentor other engineers.

Skills

Development experience in Machine Learning

Proficiency in Python

Proficiency in SQL

Experience with machine learning libraries

Cloud platforms experience

Project management

Collaboration skills

Tools

PyTorch

TensorFlow

AWS

Kubernetes

Job description

SmarterDx is seeking a Staff Software Engineer specialized in Machine Learning, fully remote within the US. The ideal candidate will build machine-learning features, design architecture to accelerate development, and mentor team members.

You should have over 10 years of experience in software development with proficiency in Python and SQL, along with a strong background in machine learning libraries like PyTorch and TensorFlow.

Benefits include comprehensive medical coverage, unlimited PTO, and a remote-first work environment.