Simplify Logo

Full-Time

Senior Staff Machine Learning

ML, Engineer

Posted on 5/13/2024

EvolutionIQ

EvolutionIQ

51-200 employees

AI-powered insurance claims guidance platform

Data & Analytics
Fintech
AI & Machine Learning
Financial Services

Compensation Overview

$250k - $275kAnnually

+ Equity

Expert

New York, NY, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Keras
Pytorch
AWS
Pandas
Google Cloud Platform
Requirements
  • 10+ years of experience as an ML Engineer / Data Scientist preferably in SaaS environments
  • Crisp written and verbal communication skills
  • Experience with modeling dynamic, time-aware systems and time series forecasting
  • Deep exposure to ML tech stack (Sklearn, Keras/TensorFlow, Pytorch, tuning frameworks, data modeling, Python/Pandas data frameworks, and scalable technical concepts/solutions)
  • Analytical & statistical modeling skills (non-parametric prediction, unsupervised learning, measuring uncertainty & statistical inference)
  • Engagement in the open-source community with public libraries implementing ML algorithms/frameworks or contributions in the community
  • Formal training in a variety of statistical learning algorithms
  • 5+ years experience in deploying ML systems on GCP or AWS
  • Ownership, deployment, and maintenance of model serving pipelines in production
  • Creativity and resourcefulness with an appetite to solve previously unsolved problems
  • Ambitious, collaborative, and empathetic values
  • Experience with probabilistic programming
Responsibilities
  • Orchestrating department-wide adoption of advanced machine learning techniques and frameworks
  • Spearheading high-impact projects leveraging ML to open new markets and enhance competitive edge
  • Facilitating collaboration among teams for seamless integration of ML technologies into product lines
  • Guiding development of scalable and robust ML architectures
  • Cultivating a culture of continuous learning and adaptation in ML technologies and market demands

At EvolutionIQ, employees are at the forefront of redefining the insurance claims process through a sophisticated AI-powered claims guidance system. This technology empowers insurance carriers to efficiently manage a range of claims, from disability to workers' compensation, by leveraging data acquisition and machine learning. The company fosters a collaborative environment where innovation in tactical guidance and predictive analytics helps shorten recovery times and improve operational efficiencies, making it a pioneering and supportive place to work.

Company Stage

Series B

Total Funding

$43.3M

Headquarters

New York City, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

13%

1 year growth

52%

2 year growth

223%
INACTIVE