Machine Learning Principal Engineer

Ninety.io; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

A leading company in the SaaS space is seeking a Principal Engineer for Machine Learning to shape their ML architecture and drive product development. This remote role requires expertise in generative AI and leadership skills to mentor teams and deliver scalable solutions. The ideal candidate will have a strong programming background, especially in Python, and a Master's or PhD in a relevant field.

Benefits

Comprehensive health benefits

Paid parental leave

Professional development

Qualifications

• 8+ years in machine learning, especially generative AI.
• Experience with scalable, distributed systems.

Responsibilities

• Define and drive the technical strategy for machine learning.
• Lead the design of generative AI models.
• Mentor engineering teams.

Skills

Growth mindset

Team-oriented approach

Education

Master’s or PhD in relevant fields

Tools

Python

MLOps tools and frameworks

Job description

Principal Engineer - ML

www.ninety.io | Remote

At Ninety, we help people build extraordinarily productive, humane, and resilient organizations.

Ninety is an innovative SaaS platform that simplifies creating focused, aligned, and thriving teams through learning, support, and technology tools. Our integrated collection of business building and awareness tools, along with educational materials, makes organizational information accessible.

We believe work shouldn’t suck, and for 200,000 users and counting, it doesn’t.

As Ninety continues to grow, we are looking for a Principal Engineer for Machine Learning to lead product development and report to an Engineering Lead.

This role involves shaping the architecture and vision of our machine learning discipline, driving projects, influencing culture, and ensuring the delivery of scalable solutions.

To succeed, you should have:

• Growth mindset
• A balance between perfection and pragmatism
• Team-oriented approach

Your Key Responsibilities:

• Define and drive the technical strategy for machine learning
• Lead the design of generative AI models
• Align technical initiatives with business goals
• Mentor engineering teams
• Manage end-to-end ML pipelines
• Develop scalable infrastructure
• Research new algorithms and techniques
• Stay updated on industry trends

What Success Looks Like:

• Deliver market-aligned outcomes
• Develop AI-driven features
• Build testable, observable, deployable code

Preferred Qualifications:

• Master’s or PhD in relevant fields
• 8+ years in machine learning, especially generative AI
• Experience with scalable, distributed systems
• Leadership skills
• Proficiency in multiple programming languages and cloud platforms
• Expertise in MLOps tools and frameworks
• Strong programming skills in Python

About Us as an Employer:

We support remote work, offer comprehensive health benefits, paid parental leave, professional development, and more, fostering a culture where employees thrive.

Our values emphasize getting smart stuff done, teamwork, resilience, inquisitiveness, and striving for excellence.

We seek someone who fits our core values and can work autonomously to master their role and grow into more responsibilities.

If this resonates with you, we invite you to apply and see if you are a good fit to help us achieve sustainable growth.