Senior Machine Learning Engineer & Scientist | $150K-$200K + Hybrid + Equity | Exciting SaaS Busines

Company Description

ARE YOU READY TO MAKE A REAL-WORLD IMPACT BY PROTECTING SOME OF THE WORLD’S MOST CRITICAL OPERATIONAL INFRASTRUCTURE?

Join a mission-driven company solving real-world problems with real-world impact — where your models help keep essential services online and your growth is accelerated by the best engineers you’ve ever worked with.

Company Overview

Our SaaS client is a fast-growing B2B SaaS outage intelligence company that helps major enterprises reduce downtime through cutting-edge automation. Their platform delivers 99% accurate, real-time power outage detection, trusted by 80% of the Fortune 500 in telecom, including AT&T , Telus , and Kroger .

They keep critical infrastructure online during high-stakes moments. They solve real, physical-world problems—not just code running in a cloud environment. This is an exciting growth opportunity with career advancement where you can make a real impact - our client is innovating with plans to launch new network operations products.

Company Culture Benefits

• Mission Driven : Build tech that keeps millions connected during emergencies.
• Elite Team : Work alongside some of the best engineers in the industry.
• Career Growth : Thrive in an entrepreneurial environment with opportunities for rapid personal and professional growth.
• Startup Agility : Fast, focused, and free of red tape.
• Supportive Culture : No blame culture, just ownership, high standards, and impact.

Benefits :

• Competitive compensation
• Full medical, dental, and vision insurance
• AD&D and life insurance
• Equity in a fast-growing SaaS company
• Unlimited PTO

Job Description

Our client is looking for a Senior Machine Learning Engineer / Scientist to expand their capacity to build and scale advanced ML models that drive real-time intelligence and operational decision-making. You’ll be part of a small, senior team with high visibility and ownership. This is a hands-on role where you’ll move fast, solve complex problems, and help push the boundaries of what ML can do in a mission-critical SaaS product.

Key Responsibilities

• Build, update, improve, and maintain a suite of ML models used by enterprise clients.
• Research, design, and prototype ML models that drive insights across customer data.
• Develop new strategies to use ML to further business goals.
• Collaborate with product and backend teams to ship ML-driven features directly into the SaaS platform.
• Design and develop ML models to extract, classify, and rank metadata signals from large-scale datasets.
• Own the full ML lifecycle: from prototyping → training → evaluation → deployment → monitoring.
• Collaborate closely with the existing ML engineer to increase development velocity.
• Explore and implement new ways to apply ML science to real-world business goals.
• Stay current on ML trends and evaluate how to apply them for strategic advantage.
• Contribute meaningfully to the team’s technical vision and infrastructure.

Qualifications

• 6-9+ years of machine learning experience, applied data science, research or similar.
• Proven experience creating and deploying ML systems at scale.
• Proven experience with the full ML research and development lifecycle.
• Strong understanding of ML theory and applications.
• A strong academic background in machine learning, computer science, or a related field (MS or PhD preferred but not required), or equivalent hands-on industry experience.
• Strong ability to deliver, solve, and iterate in a fast-paced startup environment.
• Experience in data-heavy domains such as banking, data intelligence, insurance, anti-fraud, or security is preferred.
• Python preferred, but not a dealbreaker for exceptional ML talent.
• Big bonus: You’ve published papers or contributed to the ML community through talks or writing.

Join a company where your work doesn’t just power software—it powers critical infrastructure that supports millions of lives. If you're ready to own meaningful problems, learn fast, and contribute to a high-impact team, we want to hear from you.

Additional Information

About SaaS Talent

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Reach out to us at to learn more about how we can help you .

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