Job Description
We're seeking an ML Engineer to develop and implement natural language processing systems that convert user-friendly constraint descriptions into structured data for our sports scheduling optimization engine. You'll bridge the gap between human intent and algorithmic execution.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• 3+ years experience with NLP frameworks (spaCy, Transformers, NLTK)
• Proficiency in Python and ML libraries (scikit-learn, PyTorch/TensorFlow)
• Experience with intent classification, named entity recognition, and text parsing
• Understanding of optimization algorithms and constraint satisfaction problems
• Familiarity with API development and deployment (FastAPI, Flask)
• Strong grasp of sports scheduling concepts and common constraints
Nice to Have Skills & Experience
• Experience with sports analytics or scheduling systems
• Knowledge of linear programming and combinatorial optimization
• Familiarity with LLMs and prompt engineering
• Background in computational linguistics or related field
• Experience with A/B testing and model evaluation methodologies
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.