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.
New York, NY or Remote
Live, first seen by us 89 days agoWork-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.Read the full posting
Listed location: New York, NY or RemoteRead the 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
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
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.
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.
$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.
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.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Machine Learning (ML) Engineer (AI Insurtech) job there since June 2026. It came down after 33 days.
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.
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.
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:
Requirements:
Even Better if You Have the following:
Work-life, Culture & Perks:
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
New York, NY or Remote
Working pattern and location restrictions need checking in the full posting.
- 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.