EvolutionIQ
Senior Machine Learning (ML) Engineer (AI Insurtech)
Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.
Publicada21 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior Machine Learning (ML) Engineer (AI Insurtech)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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
In this Role, You Will:
- 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.
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