Machine Engineer

Join our team and help build thoughtful products used by people every day.

About the role

We’re looking for a Machine Learning Engineer to help build and improve the intelligence behind Nuvē. In this role, you’ll work on models that analyze skin data and generate meaningful insights for users. You’ll collaborate closely with product and engineering teams to translate complex data into reliable, real-world features.

What you’ll do

As a Machine Learning Engineer at Nuvē, you’ll help develop and maintain the systems that power our skin analysis technology.

You will:

  • Build and improve machine learning models used in skin analysis

  • Work with large datasets to train and evaluate prediction models

  • Collaborate with engineers to integrate models into production systems

  • Optimize performance and accuracy of AI-driven features

  • Monitor model behavior and continuously improve outputs

What we’re looking for

We’re looking for someone who enjoys solving complex problems with data and building intelligent systems.

You likely have:

  • 2+ years of experience in machine learning or applied AI

  • Strong knowledge of Python and ML frameworks

  • Experience working with data pipelines and model training

  • Understanding of statistics and model evaluation

  • Ability to work collaboratively with engineering teams

Nice to have

While not required, these experiences would be a plus:

  • Experience working with computer vision or image analysis

  • Familiarity with AI-powered consumer products

  • Interest in health or wellness technology

Why join Nuvē

You’ll work on real AI systems that impact how people understand their skin. Our team focuses on building technology that turns complex biological signals into simple everyday insights.

Position details

Type

Part-time

Location

Remote / US

Experience

2+ years

Join the team

Nuvē Team

We usually respond within 24–48 hours.

Working at Nuvē means building technology that helps people understand their skin better. We focus on thoughtful design, collaboration, and creating tools that make everyday routines simpler.

Flexible work

Remote-first team with flexible schedules and a healthy work-life balance.

Flexible work

Remote-first team with flexible schedules and a healthy work-life balance.

Growth support

We support learning, conferences, and professional development.

Growth support

We support learning, conferences, and professional development.

Small focused team

Work closely with designers, engineers, and researchers building meaningful products.

Small focused team

Work closely with designers, engineers, and researchers building meaningful products.

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