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Senior Machine Learning Engineer (AI Insurtech)

190 000 - 225 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Machine Learning Engineer (AI Insurtech): Building production ML models for insurance claims, including time series forecasting and NLP text understanding, with an accent on exploratory data analysis, scalable modeling, and translating client problems into machine learning solutions. Focus on designing model training and evaluation strategies, improving business logic and model performance, and deploying reliable production-quality code for large-scale structured and unstructured datasets.

Location: New York, NY or remote within the United States

Salary: $190,000–$225,000 base salary per year, plus an annual bonus and company equity plan.

Company

hirify.global develops AI technology that helps insurance claims teams make claims handling more accurate, fair, and efficient.

What you will do

  • Build and maintain machine learning models for production use.
  • Perform exploratory data analysis to identify ML opportunities, data issues, and model design requirements.
  • Design training and evaluation strategies and implement features that improve model performance and business logic.
  • Build scalable models for claims time series forecasting and NLP text understanding.
  • Translate client business problems into machine learning problems and write and review production-quality code.
  • Work with large-scale structured and unstructured datasets while developing expertise in data and machine learning.

Requirements

  • 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments.
  • Strong experience with machine learning and data science technologies, including scikit-learn, Keras or PyTorch, tuning frameworks, Python, Pandas, and Jupyter.
  • Ability to develop scalable technical solutions for data analysis and modeling.
  • Excellent written and verbal communication skills for technical and non-technical audiences.
  • Solutions-oriented team player.
  • For visa transfer sponsorship, candidates must currently be in the United States.

Nice to have

  • Experience with Claude Code and related tools.
  • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, or Kubernetes.
  • Experience owning, deploying, and maintaining model-serving pipelines in production.
  • Advanced statistical modeling experience, especially probabilistic programming.
  • Strong clean-code, unit-testing, and functional-design skills.

Culture & Benefits

  • Medical, dental, vision, disability, life insurance, AD&D, 401(k) matching, and additional family, wellness, and pet benefits.
  • Paid time off, sick leave, and 100% paid parental leave.
  • Flexible scheduling for new parents returning to work.
  • Catered lunches, happy hours, pet-friendly spaces, and a monthly technology stipend.
  • $1,000 per year for professional development and tuition reimbursement opportunities.
  • Annual bonus plan and company equity plan.

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