高级机器学习（ML）工程师
Senior Machine Learning (ML) Engineer
我们致力于提供最先进的技术，帮助保险理赔团队更准确、公平和高效地处理理赔，让更多因伤或病受到影响的人能够有尊严和稳定地继续生活。我们正在经历快速增长，为了实现我们的目标，我们正在招聘世界级的人才，他们希望参与内部建设与扩展，并改变保险行业。我们的团队是我们的首要任务，我们连续三年被列为[Inc.最佳工作场所](https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace)，并被Built In评为2025年和2026年的最佳工作场所！
我们寻找的你：一位资深机器学习工程师，擅长解决前所未有的根本性问题。你热爱创新和立即产生影响，凭借高度的责任感和掌控力不断推动发布和交付。你热衷于解决新且具有挑战性的问题，而不是渐进或微小的改进，你对不断出现的有趣且未解决的问题充满热情。
在这个职位中，你将：
- 构建用于生产的机器学习模型
- 进行深入的探索性数据分析，以确定机器学习机会，识别数据中的潜在问题，并为模型设计、训练和评估策略打下基础
- 提出并实现新功能以提升模型性能和业务逻辑
- 每天编写和审查生产质量的PR
- 将客户业务问题转化为机器学习问题
- 构建可扩展的机器学习模型，用于理赔时间序列预测和自然语言处理文本理解
- 在数据和机器学习领域持续成长和学习，专注于需要从大规模结构化和非结构化数据集中提取意义的业务问题
要求：
- 2年以上机器学习工程师或数据科学家经验，最好是在高度可扩展的生产环境中。
- 对数据科学和机器学习技术栈（sklearn、Keras/PyTorch、调参框架）有深入了解，具备数据分析和建模经验，熟悉Python/Pandas/Jupyter，并追求可扩展的技术概念和解决方案。
- 具备优秀的书面和口头沟通能力，能够有效地在技术人员和非技术人员之间进行交流。
- 是一名注重解决方案的团队合作者。
- 有相关经验
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**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, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of [Inc.’s Best Workplaces](https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace) 3 years in a row and Built In’s Best Places to work in 2025 and 2026!
**About You**: A Senior Machine Learning Engineer who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact, and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems, not incremental or marginal improvements, and you're supercharged by having interesting, unsolved problems continually present themselves.
**In this Role, You Will:**
- 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
**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
**Even Better if You Have the following:**
- 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
**Work-life, Culture & Perks:**
- **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.
- **Well-Being:** Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
- **Home & Family:** Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
- **Office Life:** Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
- **Growth & Training:** $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
- **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.
_EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees._