Full-Time

Senior Software Engineer

Backend / ML

Posted on 8/19/2024

EvolutionIQ

EvolutionIQ

51-200 employees

AI software for insurance claims handling

Enterprise Software
AI & Machine Learning
Financial Services

Compensation Overview

$190k - $225kAnnually

+ Equity Plan

Senior

H1B Sponsorship Available

New York, NY, USA

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Python
Airflow
Tensorflow
Pytorch
Docker
Data Analysis
Google Cloud Platform
Requirements
  • Strong expertise in developing, deploying, and maintaining scalable machine learning pipelines and infrastructure in production environments, ideally using Google Cloud Platform (GCP) services
  • Proficiency in Python for backend development, with experience in ML libraries such as TensorFlow, PyTorch, and Scikit-learn
  • Experience in building and maintaining CI/CD pipelines and orchestration tools (e.g., Airflow, Kubeflow, Dagster) for machine learning and data processing workflows, or similar tools
  • Strong skills in containerization (Docker, Kubernetes) and model serving frameworks (e.g., TensorFlow Serving, MLflow) for optimizing performance and scalability
  • Strong problem-solving skills, with experience in monitoring, troubleshooting, and improving the performance of ML models and data pipelines, with a focus on security, compliance, and data privacy
  • Excellent communication and collaboration skills, with the ability to work effectively in diverse, cross-functional teams
  • A commitment to continuous learning and development, with an openness to explore new tools, techniques, and approaches in the rapidly evolving field of MLOps
Responsibilities
  • Design, develop, and automate scalable infrastructure and pipelines for training, validation, and deployment of machine learning models, while also managing large-scale data processing and ensuring smooth integration with CI/CD workflows
  • Implement comprehensive monitoring and alerting systems to track the performance of models and data pipelines, detect issues such as drift and data quality problems, and manage model lifecycle tasks like retraining and versioning
  • Optimize model serving and data processing infrastructure for high availability, low latency, and cost-efficiency
  • Collaborate with the ML Platform team and other cross-functional teams to align infrastructure and data pipelines with the latest company standards and client requirements
  • Explore opportunities to engage in feature engineering and other machine learning development activities to enhance model performance, with the option to contribute more directly to these areas if you have an interest
  • Contribute to a culture of inclusivity and collaboration by actively participating in team discussions, providing constructive feedback, and supporting the professional growth of colleagues through mentorship and knowledge sharing

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. Unlike competitors, EvolutionIQ offers a subscription-based software-as-a-service model, which allows for continuous updates and improvements. The company's goal is to streamline claims processing, reduce claimant stress, and increase the rate of successful Return to Work outcomes.

Company Stage

Late Stage VC

Total Funding

$58.7M

Headquarters

New York City, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

2%

1 year growth

5%

2 year growth

9%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition by CCC Intelligent Solutions validates EvolutionIQ's AI capabilities in claims management.
  • Partnership with Lincoln Financial enhances disability claims processes and customer satisfaction.
  • Recent $10 million equity investment supports expansion and product development.

What critics are saying

  • Integration with CCC's systems may face challenges, delaying acquisition benefits.
  • Acquisition could shift company culture, causing internal disruptions or turnover.
  • AI reliance may expose EvolutionIQ to biases, leading to unfair claim outcomes.

What makes EvolutionIQ unique

  • EvolutionIQ uses AI to guide claims examiners, improving efficiency and accuracy.
  • The platform predicts claim trajectories earlier, enhancing Return to Work outcomes.
  • MedHub integrates medical data synthesis, streamlining claims decision-making.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

401(k) Company Match

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Hybrid Work Options

Stock Options

Company Equity

Professional Development Budget

Home Office Stipend

INACTIVE