Senior Machine Learning Engineer
EvolutionIQ · Insurtech
- Work arrangement: remote in country
- Employment type: Full Time
- Salary: $190k - $225k USD/yr
- Seniority: senior
- Posted:
Job description
Position:
Senior Machine Learning (ML) Engineer (AI Insurtech)
Company:
EvolutionIQ
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.
Location:
United States, New York, NY or Remote
Employment type:
Not specified
Work Arrangement:
Not specified
Short Summary:
EvolutionIQ’s mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient. We are currently experiencing massive growth and are hiring world-class talent to help build and scale internally, transforming the insurance space.
Responsibilities:
- Build ML models for production use
- Perform in-depth exploratory data analysis to scope ML opportunities
- Suggest and implement new features to improve model performance
- 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
Requirement:
- 2+ years of experience as a Machine Learning Engineer or Data Scientist
- Deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch)
- Excellent written and verbal communication skills
- Team player who is solutions-oriented
- Experience leveraging Claude Code and related tools is a strong plus
Benefits:
- Medical, dental, vision, short & long-term disability, life insurance, and AD&D
- 401k matching
- Paid time off and sick leave
- 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
- Flexible schedule for new parents returning to work
- Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend
- $1,000/year for professional development and opportunities for tuition reimbursement
- Open to sponsoring candidates currently in the U.S. who need to transfer their active visa
Senior Machine Learning (ML) Engineer (AI Insurtech)
Company:
EvolutionIQ
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.
Location:
United States, New York, NY or Remote
Employment type:
Not specified
Work Arrangement:
Not specified
Short Summary:
EvolutionIQ’s mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient. We are currently experiencing massive growth and are hiring world-class talent to help build and scale internally, transforming the insurance space.
Responsibilities:
- Build ML models for production use
- Perform in-depth exploratory data analysis to scope ML opportunities
- Suggest and implement new features to improve model performance
- 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
Requirement:
- 2+ years of experience as a Machine Learning Engineer or Data Scientist
- Deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch)
- Excellent written and verbal communication skills
- Team player who is solutions-oriented
- Experience leveraging Claude Code and related tools is a strong plus
Benefits:
- Medical, dental, vision, short & long-term disability, life insurance, and AD&D
- 401k matching
- Paid time off and sick leave
- 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
- Flexible schedule for new parents returning to work
- Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend
- $1,000/year for professional development and opportunities for tuition reimbursement
- Open to sponsoring candidates currently in the U.S. who need to transfer their active visa
Skills
- bigquery
- dagster
- gcp
- jupyter
- keras
- kubernetes
- pandas
- python
- pytorch
- sklearn
- spark
- terraform
Languages
EN
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