Company Description

You must require no work sponsorship – this is a hybrid role based in King of Prussia, PA, with 3 days a week in the office.

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

Build the Most Defining Chapter of Your Career Alongside a World-Class Team and Join a mission-driven startup 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

Our client is a fast-growing B2B SaaS outage intelligence company that helps major enterprises reduce downtime through cutting-edge automation. Their outage data platform provides 99% accurate real-time power outage detection. About 80% of Fortune 500 telecom companies use their product and include industry leaders such as 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.
• Growth: Thrive in an entrepreneurial environment with opportunities for rapid personal and professional growth.
• Startup pace: Fast, focused, and free of red tape.
• Supportive environment: 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 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.
• 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

• You’ve published papers or contributed to the ML community through talks or writing. You’re an ML thought leader.
• 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.
• Must be local to the Philadelphia area and available for 3 days/week in-office.
• 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.
• Python preferred, but not a blocker for exceptional ML talent.

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

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 www.saas-talent.com to learn more about how we can help you.

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