Machine Learning Engineer

Summary

Join Coalition, a leading Active Insurance provider, as a Machine Learning Engineer on our dynamic AI Platform team. You will play a vital role in scaling and enhancing our AI platform to support advanced ML and LLM solutions. Collaborate with Data and ML Scientists and Software Engineers to manage, maintain, and improve AI platform services. This position offers the opportunity to contribute to Coalition's AI strategy, develop new capabilities using open-source and commercial products, and champion best practices. You will drive machine learning projects end-to-end, design and implement ML pipelines, and explore new AI tools. This is a chance to make a significant impact on the growth and evolution of our AI capabilities.

Requirements

• 3+ years in a similar role, ideally with experience in managing and deploying machine learning platforms or AI infrastructure on AWS
• Hands-on experience with ML platform tools such as MLflow, SageMaker, or equivalent frameworks
• Strong understanding of large language models (LLMs) and generative AI, including their architecture, fine-tuning, and deployment in production systems
• Strong programming skills, particularly in Python, with an emphasis on building scalable and efficient ML systems
• Experience with cloud platforms, such as AWS, and infrastructure as code using Terraform
• Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
• Exceptional written and oral communication with technical and non-technical audiences

Responsibilities

• Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring
• Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration
• Develop platforms to host ML/AI models, enabling the servicing team to leverage these capabilities efficiently
• Explore and integrate new AI tools to accelerate application development, providing support to machine learning scientists in building applications
• Survey and incorporate recent advances in AI/ML research into our set of core capabilities to drive the future of decisioning at Coalition
• Thoughtfully communicate your work and experience in applied machine learning through internal collaborations and mentorship opportunities
• Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization

Preferred Qualifications

• Experience with using generative AI tools like Langchain/Lllama index and VectorDBs like Qdrant
• Experience with experimentation tools like MLflow & AWS Sagemaker
• Experience with ML frameworks such as: PyTorch, Tensorflow, Keras, etc
• Practical and extensive experience in supervised and unsupervised machine learning methods
• Experience in statistical analysis methods, most notably regression analysis, statistical inference, and forecasting
• Experience in Insurance or Fintech though not required for this role

Benefits

• 100% medical, dental and vision coverage
• Flexible PTO policy
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
• Competitive compensation and opportunity for advancement