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Senior Machine Learning (ML) Engineer (AI Insurtech)

Pay
Pay amount needs review — pay source
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.
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Work setting
Remote — work setting source
Listed location: New York, NY or Remote
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Employment
Not stated

Before you apply

Work authorization
Sponsors visas

What you’ll work on

Full posting
  • Build ML models for production use

  • Run in-depth exploratory data analysis to scope ML opportunities

  • Translate client business problems into ML problems

  • Build scalable models for claim time series forecasting and NLP

  • Write and review production-quality PRs daily

From the employer’s posting
Build ML models for production use
Perform in-depth exploratory data analysis to scope ML opportunities
Translate client business problems into ML problems
Build scalable machine learning models for claim time series forecasting and NLP text understanding
Write and review production-quality PRs daily

What you’ll bring

All qualifications

Core experience

  • 2+ years as a Machine Learning Engineer or Data Scientist
  • Deep exposure to ML stacks such as sklearn, Keras or PyTorch
  • Comfortable with Python, Pandas and Jupyter
  • Excellent written and verbal communication skills
  • Team player who is solutions-oriented
Qualification wording
2+ years of experience as a Machine Learning Engineer or Data Scientist
You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks)
feel at home in Python/Pandas/Jupyter
You have excellent written and verbal communication skills
You’re a team player who is solutions-oriented.
Apply at EvolutionIQ

Posting record

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Status in our records
Live
First seen by us
Aug 6, 202689 days ago
Recorded sightings
40
Last seen by us
Nov 4, 2026
Reposted
once since Jun 19, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 89

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

EvolutionIQ is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • BigQuery
  • GCP
  • Kubernetes
  • Spark
  • Terraform
  • Dagster
  • Keras
  • pandas
  • PyTorch
  • scikit-learn
Where the posting names them
- 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.
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

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has EvolutionIQ posted this job before?

Yes. We’ve followed one other Senior Machine Learning (ML) Engineer (AI Insurtech) job there since June 2026. It came down after 33 days.

  1. New YorkCame down after 33 days, first seen Jun 19
  2. This jobUp 90 days so far, first seen Aug 6

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

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Pay
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.
Location & working pattern

New York, NY or Remote

Working pattern and location restrictions need checking in the full posting.

Work authorization
- 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.

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