Senior Machine Learning Engineer – AI Insurtech

This is a fully remote position, open to applicants in New York.

📋 Description

• Develop machine learning models for production implementation.

• Conduct thorough exploratory data analysis to identify ML opportunities, highlight potential data issues, and establish the foundation for model design, training, and evaluation strategies.

• Propose and execute new features aimed at enhancing model performance and business logic.

• Write and review high-quality production pull requests on a daily basis.

• Convert client business challenges into machine learning challenges.

• Create scalable machine learning models for claim time series forecasting and natural language processing text comprehension.

• Continuously expand your knowledge and skills in the data and machine learning domains, focusing on business challenges that necessitate interpreting large-scale structured and unstructured datasets.

⛳️ Requirements

• A minimum of 2 years of experience as a Machine Learning Engineer or Data Scientist, ideally in high-scale production settings.

• Extensive knowledge of data science and machine learning technology stacks (sklearn, Keras/PyTorch, tuning frameworks), data analysis and modeling, proficiency in Python/Pandas/Jupyter, and a commitment to scalable technical concepts and solutions.

• Strong written and verbal communication abilities, enabling effective interaction between technical and non-technical stakeholders.

• A collaborative team member with a solutions-driven mindset.

• Familiarity with Claude Code and related tools is a significant advantage.

🏝️ Benefits

• Comprehensive medical, dental, vision, short and long-term disability, life insurance, AD&D, and 401k matching.

• Additional benefits for family, wellness, and pets.

• Paid time off and sick leave provisions.

• Fully paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers).

• Flexible scheduling options for new parents transitioning back to work.

• Catered lunches, happy hours, pet-friendly workspaces, and a monthly technology stipend.

• An annual $1,000 allowance for each employee for professional development, along with opportunities for tuition reimbursement.

• We are open to sponsoring candidates currently in the U.S. who require a visa transfer.