19 hours ago
Machine Learning Engineer, AI Core
Solera Holdings, LLC.
Hybrid
Full Time
$175,000
Hybrid
Job Overview
Job TitleMachine Learning Engineer, AI Core
Job TypeFull Time
Offered Salary$175,000
LocationHybrid
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Job Description
Mission
Leverage AI and Solera’s data assets to develop, deliver, operate, and maintain innovative, production-grade components that make vehicle claims and ownership simpler, faster, and more efficient for customers and users.
What You Will Do
- Design, train, and ship computer vision models for vehicle damage detection (classification, detection, segmentation), as well as tree-based models and LLM-powered components.
- Build scalable data and ML pipelines on GCP (BigQuery, Dataflow, Vertex AI) for training, evaluation, and inference at scale across hundreds of millions of images and claims.
- Deploy and operate services on GKE/Cloud Run with Docker and Kubernetes, following CI/CD with robust build systems and testing.
- Expose models via FastAPI; build internal tools and demos with Streamlit; instrument monitoring and alerting with Grafana.
- Own the end-to-end lifecycle: problem framing, data curation, experimentation, model/productization, performance/cost optimization, and post-deployment monitoring.
- Contribute to a high-quality monorepo: code reviews, standards, documentation, testing, and reproducibility.
- Collaborate in an internationally distributed team, driving clarity, sharing best practices, and improving ML/engineering workflows.
How We Work
- Monorepo with strong build, CI/CD, and code quality practices.
- Freedom to choose the best tool for the job; high autonomy and ownership.
- Production mindset: reliability, observability, maintainability, and measurable impact.
Tech Stack
- Python; TensorFlow, PyTorch
- GCP: BigQuery, Dataflow, Vertex AI, GKE, Cloud Run, Cloud Deploy
- Docker, Kubernetes
- FastAPI, Streamlit
- Grafana
What You Bring
- Strong Python and software engineering fundamentals (testing, code quality, CI/CD, performance).
- Proven experience training and deploying CV models (classification, detection, segmentation) with TensorFlow/PyTorch.
- Proficiency with large-scale datasets and distributed processing on GCP (BigQuery, Dataflow) or similar.
- Production MLOps experience on Kubernetes/containers.
- Ability to design clean APIs and services (FastAPI) and build usable internal tools (Streamlit).
- Experience with tree-based models.
- Experience with integrating LLM APIs into production workflows.
- Structured problem solving, critical thinking, and a driven, ownership-oriented mindset.
- Effective communication and collaboration in a distributed, cross-functional environment.
Nice to Have
- Vertex AI pipelines.
- GPU optimization and cost/performance tuning for training/inference.
- Experience in insurance, automotive, or related computer vision domains.
Key skills/competency
- Machine Learning
- Computer Vision
- Deep Learning
- GCP (Google Cloud Platform)
- MLOps
- Python
- TensorFlow/PyTorch
- Kubernetes/Docker
- Data Pipelines
- LLM Integration
How to Get Hired at Solera Holdings, LLC.
- Research Solera Holdings, LLC.'s culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Tailor your resume for Machine Learning Engineer, AI Core: Highlight relevant projects in computer vision, MLOps, GCP, TensorFlow/PyTorch, and LLM integration.
- Showcase your MLOps expertise: Emphasize experience with production-grade ML systems, Kubernetes, CI/CD, and scalable data pipelines, crucial for Solera.
- Prepare for technical interviews: Expect questions on Python, deep learning frameworks, cloud ML services, and system design for distributed ML applications.
- Demonstrate problem-solving and collaboration skills: Be ready to discuss how you've solved complex ML challenges and worked effectively in distributed teams.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What kind of machine learning models will I be working with as a Machine Learning Engineer, AI Core at Solera Holdings, LLC.?
02What is the primary cloud platform used for ML development at Solera Holdings, LLC. for this role?
03What level of MLOps experience is expected for the Machine Learning Engineer, AI Core position at Solera Holdings, LLC.?
04How does the Machine Learning Engineer, AI Core team at Solera Holdings, LLC. collaborate given it's a distributed team?
05Are there opportunities for using newer technologies like LLMs in the Machine Learning Engineer, AI Core role?
06What specific tools are used for exposing models and building internal tools in the Machine Learning Engineer, AI Core role?
07What kind of data scale will the Machine Learning Engineer, AI Core be working with at Solera Holdings, LLC.?
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