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

Job Description

Job Description

Company Description

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

Make Your Code Matter. Really Matter.

What if your ML models helped keep hospitals running, emergency services connected, or grocery store supply chains uninterrupted? That’s the kind of real-world impact you’ll have here, and your growth will be 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.

Why Join?

• 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

As a core member of a small, senior ML team, you’ll build and scale real-time ML models that drive intelligent operations and decision-making across the platform. This is a high-impact, hands-on role where your work directly shapes the product and its value to customers.

What you'll do:

• 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.

• 5-8+ years of machine learning engineering experience in B2B SaaS companies.
• Hands-on experience with data pipelines, MLOps, and cloud platforms (AWS, GCP, or Azure).
• Proven experience deploying ML systems at scale and strong applied background in machine learning with proven hands-on industry experience.
• ML thought leadership in your current or previous roles.
• A solid foundation in applied mathematics: numerical methods, optimization, linear algebra, controls and systems theory and a deep understanding of classical statistical learning theory.
• The ability to translate theory into working results with minimal oversight.
• Philadelphia area-based - Available for 3 days/week onsite in King of Prussia.
• A strong ability to deliver, solve, and iterate in a fast-paced startup environment.
• Proficiency in SQL and at least one additional programming language.
• Low ego, high collaboration - you build with the team and for the problem.
• Demonstrated ability to learn new technical material independently.

Bonus: Backgrounds in data intelligence, finance, insurance, security, or anti-fraud. Experience with geospatial data and deep learning frameworks for multimodal modeling.

Preferred language: Python (but we’re open to exceptional talent regardless of stack).

Power Something Bigger than Software.

If you’re excited to build real-world ML systems that keep millions connected when it counts, we’d love to meet you.

About SaaS Talent

SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice.

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

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