Hybrid

PhillyTech.Co is hiring a Senior Machine Learning Engineer & Scientist | $150K- ...

About the Role

PhillyTech.Co seeks a Senior Machine Learning Engineer & Scientist to join our core, senior ML team. In this high-impact, hands-on role, you will build and scale real-time ML models that directly shape our product and drive intelligent decision-making for enterprise clients.

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.

What We're Looking For

  • 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 a strong applied background in machine learning.
  • Demonstrated 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 and 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.

Nice to Have

  • 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).

Technical Stack

  • SQL, Python, AWS, GCP, Azure

Team & Environment

You will be a core member of a small, senior ML team, collaborating closely to increase development velocity and impact.

Benefits & Compensation

  • Compensation: $150K-$200K + equity
  • Competitive compensation
  • Full medical, dental, and vision insurance
  • AD&D and life insurance
  • Equity in a fast-growing SaaS company
  • Unlimited PTO

Work Mode

This is a hybrid position requiring 3 days/week onsite in King of Prussia, Philadelphia, PA.

PhillyTech.Co is an equal opportunity employer.

Required Skills
SQLPythonAWSGCPAzureMachine LearningStatistical AnalysisData EngineeringModel DevelopmentMLOpsCloud InfrastructureData Pipelines
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About company
PhillyTech.Co

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.

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Posted 8 months ago