Machine Learning Engineer Insurance AI
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Job Location:
Carlsbad, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
23 hours ago
Vacancies:
1 Vacancy
Job Summary
About the Role
Were looking for a Machine Learning Engineer to join our Insurance AI team. Youll be the engineering backbone for our Data Scientists building and maintaining the ML infrastructure that turns models into reliable scalable products.
This isnt a greenfield build-everything-from-scratch role. Our Sydney-based AI & Computer Vision team has built robust ML tooling and pipelines. Your job is to extend adapt and maintain that infrastructure for US-specific use cases. If youre someone who gets satisfaction from making existing systems work better rather than reinventing the wheel keep reading.
Youll work closely with Data Scientists in the US and ML Engineers in Australia acting as the technical bridge that keeps both teams moving fast.
What Youll Do
Youll own the ML engineering function for the US Insurance AI team. That means building data and model pipelines integrating with internal and external APIs and making sure our Data Scientists have the tools they need to ship models to production. Youll collaborate daily with our Sydney AICV team to leverage shared infrastructure and contribute improvements back.
Day to day youll write Python wrangle data pipelines debug production issues and translate Data Scientist requirements into working systems. Youll use AWS work with cloud-native technologies and operate within an established MLOps framework.
Key Responsibilities
- Build and maintain ML pipelines for data ingestion feature processing model training deployment and monitoring in AWS
- Extend and adapt existing tooling from our Sydney AICV team for US Insurance AI use cases
- Develop and support internal tools and frameworks that streamline experimentation and improve delivery speed
- Integrate internal and external APIs to connect datasets models and services
- Partner with Data Scientists to understand their workflow needs and translate them into scalable technical solutions
- Ensure infrastructure supports rapid experimentation while maintaining reliability security and scalability
- Collaborate with Technical Product Managers API engineers and platform teams to deploy models in production
- Contribute to a shared codebase through feature branches pull requests and code reviews
Qualifications :
Youll need:
- 2-4 years as a Machine Learning Engineer or ML-focused Software Engineer
- Strong Python skills with a track record of writing clean tested production-grade code
- Hands-on experience with ML libraries like PyTorch scikit-learn and pandas
- Experience building and maintaining ML pipelines in production environments
- Solid SQL skills and familiarity with data engineering tools (Airflow Spark or dbt)
- The ability to jump into an existing codebase understand it and extend it
- Clear communication skills and comfort working across time zones
It would be great if you also have:
- AWS experience (S3 EC2 ECS or similar)
- Experience consuming and integrating REST APIs at scale
- Docker and containerisation experience
- MLOps experience including CI/CD and model monitoring
- Familiarity with geospatial or aerial imagery data
- Experience with pipeline orchestration tools like Ray Kubeflow or Flyte
Who You Are
Youre mid-career and self-sufficient. You dont need someone looking over your shoulder but you also know when to ask questions. Youd rather build on a solid foundation than start from scratch just to put your stamp on something. You communicate clearly collaborate well with remote teams and care about shipping things that actually work.
To help us get to know the real you: In your application tell us about a specific ML pipeline youve built or maintained and one thing you learned from it. Skip the AI-generated cover letters. We want to hear your voice.
Additional Information :
Some of our benefits
Nearmap takes a holistic approach to our employees emotional physical and financial wellness. Some of our current benefits include:
- Quarterly wellbeing day off - Four additional days off a year as your YOU days
- Company-sponsored volunteering days to give back.
- Generous parental leave policies for growing families.
- Access to LinkedIn Learning for continuous growth.
- Discounted Health Insurance plans.
- Monthly technology allowance.
- Annual flu vaccinations and skin checks.
- A Nearmap subscription (naturally!).
Working at Nearmap
We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. Were proud of our inclusive supportive culture and maintain a safe environment where everyone feels a sense of belonging and can be themselves.
If you can see yourself working at Nearmap and feel you have the right level of experience we invite you to get in touch. Watch some of our videos and find out more about what a day in the life at Nearmap looks like.
- hear an interview with Brett Tully Director of AI Output Systems on the Super Data Science podcast click this link: podcast: the product documentation for Nearmap AI: but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee location or address. Nearmap is not responsible for any fees related to unsolicited resumes.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Sales Experience
- Time Management
- Marketing
- Customer Service
- Communication skills
- Retail Sales
- Business Management
- Outside Sales
- Telemarketing
- Insurance Sales
- Medicare
- Phone Etiquette
About Company
The sky's not the limit at Nearmap. Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel ... View more
