Staff Software Engineer, ML Platform

New York, New York, United States

Apply with AI Apply

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Insurance, Artificial Intelligence, AI & Machine Learning, Data ScienceIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 5 years of experience in software engineering, with a strong focus on distributed systems and cloud technologies. Experience with machine learning platforms and MLOps practices is highly desirable. Strong programming skills in Python and experience with data processing frameworks like Spark or Hadoop are required. Knowledge of cloud platforms such as AWS, GCP, or Azure is also necessary.

Responsibilities

As a Staff Software Engineer, ML Platform, you will design, build, and launch scalable ML and data processing systems, automate model lifecycle management, introduce modern frameworks for model monitoring and hyperparameter tuning, lead the deployment of models through APIs, research and implement MLOps tools, and manage monitoring systems. You will also support the next phase of ML pipeline development, proactively identify and address bottlenecks, and share MLOps knowledge through training sessions and presentations, ensuring robust model performance and regulatory compliance.

Skills

ML infrastructure

ML pipeline

Model deployment

Distributed data processing

GPU/TPU training

Model monitoring

Cloud platforms

MLOps

System architecture

Automation

EvolutionIQ

AI software for insurance claims handling

About EvolutionIQ

EvolutionIQ creates software for the insurance industry that enhances the claims handling process using artificial intelligence. The software helps insurance examiners and adjusters identify the right claims to focus on, improving efficiency and accuracy. By understanding bodily injuries like a medical expert, it quickly assigns complex claims to specialized teams, leading to faster processing and better outcomes for claimants. The goal of EvolutionIQ is to streamline claims handling, ultimately increasing the number of successful returns to work for claimants.

New York City, New YorkHeadquarters

2019Year Founded

$58.7MTotal Funding

LATE_VCCompany Stage

Enterprise Software, AI & Machine Learning, Financial ServicesIndustries

201-500Employees