
Senior Machine Learning Engineer – CCC Casualty, Claims Intelligence
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Illinois.
• Take ownership of models and evaluations from start to finish within a specific problem area, transforming results into actionable product decisions.
• Develop AI-driven products for CCC's auto casualty sector, concentrating on the injury aspect of auto claims.
• Create and deploy statistical, machine learning, and hybrid large language models, including retrieval and embeddings, utilizing real claims data.
• Design evaluations and gold standard datasets in collaboration with data labelers and subject matter experts, consistently running them as the product evolves.
• Assess impact through experiment design, establishing baselines, and conducting ROI analysis.
• Clearly communicate results to product teams, sales, and customers.
• Perform an evaluation on actual data within the first month.
• Deliver a model or evaluation to production within six months while facilitating evidence-based product decisions.
• Generally, 5+ years of experience in the fields of machine learning, data science, or quantitative engineering roles.
• A solid quantitative background (statistics, probability, experiment design) obtained through a degree, research, or equivalent experience.
• Proficiency in Python and SQL, accompanied by a proven track record of deploying models to production and evaluating their performance.
• Practical experience with both statistical machine learning and large language model approaches (RAG, embeddings, vector search), including the assessment of LLM outputs.
• Demonstrated ability to work efficiently with AI-assisted tools, along with examples to discuss.
• Experience in causal inference, survival analysis, or calibration methods applied to business decision-making.
• Proficiency in fine-tuning models for domain-specific tasks.
• A video interview is mandatory for this position.
• Candidates are prohibited from utilizing generative AI or automated assistance during interviews unless explicitly permitted by the interview team for a particular exercise.
• 401K Match
• Paid time off
• Annual Incentive Plan Performance Bonus
• Comprehensive health insurance
• Adoption Assistance
• Tuition Reimbursement
• Wellness Programs
• Stock Purchase Plan options
• Employee Resource Groups
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