Senior Software Engineer, EvolutionIQ
Backend / Machine Learning
$190-225k
+ Equity
More information about location
AI for insurance carriers
Job no longer available
AI for insurance carriers
201-500 employees
Job no longer available
$190-225k
+ Equity
More information about location
201-500 employees
Company mission
To transform the insurance industry through a partnership between AI and human experts, ultimately making it more fair and affordable for everyone.
Role
Who you are
- 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
What the job involves
- In this role, you will play a critical part in ensuring that our growing client base is consistently supported by the latest and most robust ML infrastructure
- As we process increasing volumes of data, you will be responsible for scaling our systems to meet these demands, ensuring seamless and efficient model development, deployment, and maintenance across all clients
- You will collaborate with our platform and infrastructure teams to shape the future of EvolutionIQ’s ML Platform. From technology choices to building the roadmap, you will have a large amount of ownership and scope in this role
- As a senior member of the team, you will also mentor and guide other engineers, fostering a culture of continuous learning and helping them develop new skills in MLOps and related technologies, while driving technical excellence across the board
- 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
Our take
EvolutionIQ is a data-driven claim guidance platform for insurance providers. Its products combine structured and unstructured claim data with external third-party data to provide powerful claim guidance, aiming to modernise the claims operations process.
The company's offering is certainly an attractive one for businesses handling large volumes of these claims - the solutions aim to help insurance providers detect and prevent fraud without impacting their productivity and customer experience. Historically, the insurance industry has had access to vast amounts of data without optimising its use. EvolutionIQ's machine learning algorithms harness the learnings from every data point, enabling much more well-informed, actionable insights.
In 2024, CCC Intelligent Solutions acquired EvolutionIQ, which will continue to operate as a standalone company. Following a successful VC funding round, it reached a valuation of over $200 million and is now focused on further product development and international expansion. Off the back of this, it hopes to capture a larger slice of this $10 billion market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
111% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$20.2m
LATE VC
Jun 2023
$10.3m
LATE VC
Total funding: $60.4m
Company benefits
- Premium Medical Insurance Plan – Empire Blue Cross Blue Shield Medical insurance
- 401K with employer matching
- Dental Coverage – Principal Financial
- Life insurance / ACDC coverage – Reliance Standard
- Vision – Reliance Standard
- Short Term and Long Term Disability – Unum
- Employee stock option plan
- $500 to get you started setting up your home office and $200 every year for upgrades after that
Company HQ
Flatiron District, New York, NY
Leadership
Michael Saltzman
(Co-Founder & Co-CEO)Studied Engineering and Economics at Dartmouth, and obtained an MBA from Stanford. Co-founded Roomie Rentals while still a student, and then joined Bridgewater Associates as an Investment Associate, prior to co-founding EvolutionIQ in 2019.
Jonathan Lewin
(Co-Founder & Co-CEO)Studied History at Harvard. Jonathan co-founded eMeta and held senior leadership roles within corporate development and commerce at a range of companies, prior to co-founding EvolutionIQ in 2019.
Tomas Vykruta
(Co-Founder & President)Previously Developer Expert and Staff Engineer at Google and was a Flight Instructor at Blackwings Aviation.
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