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Sr. Engineer 2- Machine Learning

VenusgeoFort Worth, TX🇺🇸United StatesPosted 12 Aug 2026

Why This Role Stands Out

This hybrid role at Venusgeo offers a fantastic opportunity to drive innovation in machine learning, leveraging your expertise in Mixed-Integer Programming and commercial solvers to build impactful solutions. If you are a seasoned engineer with a passion for developing large-scale ML applications and thrive in a collaborative environment, you'll find this position to be an excellent fit for your career growth. Don't miss out on this chance to contribute to a reputable company and apply today!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Sr. Engineer 2- Machine Learning-
Fort Worth, TX 76155   (Must Need Local To Fort Worth & F2F Interview )   
Minimum Qualifications – Education & Prior Job Experience
Bachelor''s degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 
7 to 9+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments 
2+ years of professional, design, and open-source experience 
Top Requirements:
1. Mixed-Integer Programming (MIP) modeling; formulating real-world business rules as decision variables, linear constraints, and objectives; LP/IP theory; branch-and-bound intuition.
2. Commercial solver experience; FICO Xpress (strongly preferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solver tuning (gaps, threads, seeds, determinism) and reading solver logs /.lp files.
3. Programming to implement model & visualize model solutions; Java (the model lives in Java behind a solver abstraction); Python (incl v. Streamlit for the dashboard); able to code and ship changes in both programming languages.
Also required: comfortable using AI coding agents (Claude / Copilot) for fast changes; high coding standards; a collaborative team player (open to ideas/feedback, no solo work); a fast learner.
4. MS or PhD in Operations Research / Industrial Engineering / Applied Math (or related), plus 3+ years applied optimization  or equivalent demonstrated MIP experience.
(Education: MS/PhD in OR / IE / Applied Math / CS-optimization or equivalent.)
Nice To Have:
Java 21 / Spring Boot familiarity; clean/hexagonal model design (ports & adapters); TDD (JUnit 5) for optimization models (LP-file integration tests); scheduling/assignment/routing problem experience; heuristics/metaheuristics/CP as complements to MIP; data analysis & debugging; mining datasets (incl. Azure ADLS) and solver logs to find issues and derive insights; data wrangling (CSV/Excel/SQL); Git/GitHub, MongoDB Compass, Maven, Docker; aviation / MRO domain.
 

Skills

Docker
MongoDB
SQL
Spring
Linear
Machine Learning
TDD
Azure
Git
JUnit
Java
Python

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