Senior Machine Learning (ML) Engineer (AI Insurtech)

Posted 2 Days Ago
2 Locations
In-Office or Remote
190K-225K Annually
Senior level
Artificial Intelligence • Software
EvolutionIQ: Where human expertise meets AI precision to unlock excellence in insurance claims
The Role
Design, build, and deploy scalable ML models for claims forecasting and NLP; perform exploratory data analysis, feature engineering, model evaluation, and production-quality code reviews; translate business problems into ML solutions and maintain model-serving pipelines.
Summary Generated by Built In

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 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.

Skills Required

  • 2+ years of experience as a Machine Learning Engineer or Data Scientist in production environments.
  • Deep exposure to data science and ML tech stacks (sklearn, Keras/PyTorch, tuning frameworks).
  • Proficiency with Python, Pandas, and Jupyter for data analysis and modeling.
  • Excellent written and verbal communication skills to convey technical concepts to non-technical audiences.
  • Team player who is solutions-oriented and able to translate client business problems into ML problems.
  • Experience leveraging Claude Code and related tools.
  • Owned, deployed, and maintained model-serving pipelines in production.
  • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, and Kubernetes.
  • Expert skills writing clean, efficient code with unit tests and functional design patterns.
  • Experience with advanced statistical modeling and probabilistic programming.

EvolutionIQ Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EvolutionIQ and has not been reviewed or approved by EvolutionIQ.

  • Fair & Transparent Compensation Pay is considered competitive across many roles, and the company emphasizes pay transparency. Feedback suggests compensation is a strong point supporting retention and satisfaction.
  • Equity Value & Accessibility Equity is positioned as meaningful and included in offers, with stock grants on a standard 4-year vesting schedule. This structure contributes materially to total compensation for roles such as Data Scientist and Software Engineering Manager.
  • Parental & Family Support Parental leave is generous and fully paid (commonly four months for primary caregivers and three months for secondary), with flexible return-to-work support. Additional family benefits include childcare and fertility support alongside family medical leave.

EvolutionIQ Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
220 Employees
Year Founded: 2019

What We Do

EvolutionIQ's groundbreaking AI-powered claims guidance platform helps claims professionals balance timely, impactful actions and drive optimal claim resolutions. We simplify the claims process and distill complex medical information and insights. We enable claims professionals to focus on what matters most and handle claims with confidence and ease while delivering a personalized experience.

Why Work With Us

We're trailblazers reshaping the insurance claims industry and pushing the boundaries of what's possible. Join a workplace where innovation, fun, and growth go hand in hand. We champion internal promotions and continuous professional development. Collaborate with top minds, advance your career, and make a significant impact with us.

Gallery

Gallery

Similar Jobs

Striveworks Logo Striveworks

Senior Machine Learning Engineer

Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
Easy Apply
Remote or Hybrid
2 Locations
67 Employees
160K-200K Annually

SailPoint Logo SailPoint

Senior Machine Learning Engineer

Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Remote or Hybrid
United States
2461 Employees
119K-201K Annually
Remote
US
840 Employees

GOAT Group Logo GOAT Group

Senior Machine Learning Engineer

Consumer Web • eCommerce • Fashion • Retail
Remote or Hybrid
US
1200 Employees
134K-197K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account