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Software Engineer / ML Engineer (with PhD)

Innovatix Technology PartnersBedminster, NJ🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

Leverage your PhD and deep expertise in AI/ML and software engineering to drive innovation at a leading technology firm, with opportunities for continuous learning and significant career growth. This hybrid role is ideal for passionate problem-solvers eager to build scalable applications and shape the future of technology. You'll thrive in a collaborative environment that values cutting-edge solutions and professional development.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Bedminster, NJ, United States
Posted
10 hours ago
MATLABOracleSQLAWSMachine LearningAzureGoogle CloudJavaPython

Job Description

Key Responsibilities & Requirements:

  • PhD in Computer Science or a closely related field with strong foundations in software engineering, algorithms, distributed systems, and backend architecture.
  • Hands-on software development experience using Python and/or Java, with the ability to design, develop, test, and deploy scalable production-grade applications.
  • Strong database knowledge in SQL and/or Oracle, including query optimization, stored procedures and data modeling. (Experience focused on relational databases; not seeking candidates whose primary experience is in MATLAB, Excel, or CSV-based analysis.)
  • Strong understanding of Artificial Intelligence (AI), Machine Learning (ML), algorithms, and data structures, with experience leveraging AI to enhance existing applications, accelerate development using AI-assisted coding/vibe coding techniques, and drive technology modernization initiatives.
  • Ability to evaluate and adopt emerging technologies, recommend architectural improvements, and drive innovation across software platforms.
  • Passionate learner with a strong curiosity for new technologies, excellent problem-solving skills, and a track record of continuously expanding technical expertise.

Preferred: Experience working with cloud platforms (AWS, Azure, or Google Cloud Platform), containerization technologies, and modern software development practices is a BIG Plus.

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