EvolutionIQ - Senior Machine Learning (ML) Engineer (AI Insurtech)
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Requirements
• 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments. • You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions. • You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences. • You’re a team player who is solutions-oriented. • Experience leveraging Claude Code and related tools is a strong plus • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes • Owned and deployed, and maintained model-serving pipelines in production • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns • Experience with advanced statistical modeling, especially probabilistic programming • Ambitious, collaborative, and empathetic values • A work style that is open to giving and receiving critical feedback and collaborating effectively across teams
Responsibilities
• Build ML models for production use • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies • Suggest and implement new features to improve model performance and business logic • Write and review production-quality PRs daily • Translate client business problems into ML problems • Build scalable machine learning models for claim time series forecasting and NLP text understanding • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets
Benefits
• Compensation: The base salary range is $190-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. • $190-225K, • Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. • Well-Being: • Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. • Office Life: • Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. • Growth & Training: • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. • Sponsorship:
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