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Salary: USD 190,000 - 225,000 / annual
EvolutionIQ is building AI-powered technology to transform insurance claims handling, making the process more accurate, fair, and efficient for people impacted by injury or illness. The company has grown rapidly and been recognized as one of Inc.'s Best Workplaces for three consecutive years and Built In's Best Places to Work in 2025-2026.
As a Senior Machine Learning Engineer, you will own first-principles ML problems that haven't been solved before. You'll build production ML models for claim time series forecasting and NLP text understanding, working on genuinely novel challenges rather than incremental improvements.
Key responsibilities include:
- Building and deploying ML models for production use in insurance claims
- Conducting in-depth exploratory data analysis to identify ML opportunities and data issues
- Designing, training, and evaluating models with rigorous methodology
- Implementing new features to improve model performance and business logic
- Writing and reviewing production-quality code daily
- Translating client business problems into ML problems
- Working with large-scale structured and unstructured datasets
You should have 2+ years as an ML Engineer or Data Scientist in highly scalable production environments. Deep expertise required in Python, Pandas, Jupyter, and ML tech stacks (sklearn, Keras/PyTorch, tuning frameworks). Strong written and verbal communication skills to work across technical and non-technical audiences are essential.
Preferred qualifications include experience with Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes, model-serving pipelines in production, probabilistic programming, and Claude Code tools.
Compensation: $190-225K base salary plus annual bonus and RSUs. Comprehensive benefits include medical, dental, vision, disability, life insurance, 401k matching, 100% paid parental leave (16 weeks primary / 12 weeks secondary), flexible return-to-work for new parents, paid time off, catered lunches, pet-friendly spaces, $1,000/year professional development stipend, and tuition reimbursement opportunities. Visa sponsorship available for eligible candidates.
