This role pays less than
97%
of similar roles. Most pay
$173,837–$249,750
— the shaded band above.
At the midpoint, this role pays about
$126k
versus about
$212k
for comparable roles.
Based on 240 similar postings.
Employer
About The Hartford
The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services
The Hartford currently has
61 open roles
on FindRole.
Listed pay typically runs
$131,600–$191,400
across 61 roles with salary data.
The Hartford is hiring a Machine Learning Engineer to join the Global Specialty Applied AI team as they develop cutting-edge AI capabilities for enhancing underwriting processes. This role involves designing and operationalizing production-grade AI solutions in collaboration with product, engineering, and platform teams. Day-to-day responsibilities include researching and implementing generative and ML algorithms, assessing new data sources and analytical techniques, and deploying models on AWS and GCP. The ideal candidate will have 1+ years of experience in research or DevOps, proficiency in Python development, familiarity with CI/CD pipelines using Jenkins, and exposure to IAC tools like CloudFormation and Terraform. Additionally, knowledge of workflow automation platforms such as Apache Airflow is essential, along with an understanding of the data science model lifecycle and emerging technologies like generative AI and LLM integration into automated processes.
Python
TensorFlow
PyTorch
scikit-learn
MATLAB
C++
signal processing
wireless communication
MIMO
OFDM
SDRs
GPU acceleration
embedded machine learning
real-time systems
adaptive modulation
beamforming
cognitive radio techniques
3GPP
IEEE 802.11/15
military waveforms