Meeboss
United States
Machine Learning Engineer
Machine Learning Full-time Mid-Senior level 12h ago
- AI
- Java
- Machine Learning
- Prototyping
AI Summary
Builds production ML models for insurance claims, focusing on forecasting and NLP. Requires 2+ years in scalable ML/data science with Python/Pandas. Must translate business problems into technical solutions and collaborate across teams.
Key Responsibilities
Develop production-ready ML models for claim forecasting and NLP
Conduct exploratory data analysis and scope ML opportunities
Implement new features to enhance model performance and business logic
Translate business problems into technical ML solutions
Build scalable ML pipelines for large datasets
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Technical Skills Required
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Benefits & Perks
Competitive salary ($190-225K base, bonus, equity)
Comprehensive health/dental/vision insurance
401k matching, parental leave (16/12 weeks), flexible schedule
Professional development stipend ($1,000/year)
Tuition reimbursement
Pet-friendly office, catered lunches, happy hours
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Nice to Have
Experience with Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
Ownership of model-serving pipelines in production
Advanced statistical/probabilistic modeling expertise
Clean code practices with unit tests and functional design patterns
Job Description
About Us:
EvolutionIQ’s mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient.
About You:
A Senior Machine Learning Engineer who thrives on first principles problems, loves innovation, and drives immediate impact through high ownership and control. You enjoy solving new, unsolved problems rather than incremental improvements.
In This Role, You Will:
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