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

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

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Reach out to us at www.saas-talent.com to learn more about how we can help you.

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