About the role
Coalition is seeking a skilled and motivated Machine Learning Engineer to join our dynamic AI Platform team. In this role, you will play a crucial part in scaling and refining our AI platform to support the adoption of advanced ML and LLM solutions across the organization. Collaborating with Data and ML Scientists as well as Software Engineers, you will manage, maintain, and enhance AI platform services that power key use cases in insurance and security engineering. Your contributions will directly influence Coalition’s AI strategy and drive innovation.
This is an exciting opportunity for a proactive ML engineer who thrives on building and operating robust platforms and tools to accelerate ML and LLM adoption. You will contribute to the AI Platform strategy, develop new capabilities using a combination of open-source and commercial products, and champion best practices, making a significant impact on the growth and evolution of our AI capabilities.
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.
Skills and Qualifications
- 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
Bonus Points
- 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
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $104,800/year in our lowest geographic market up to $158,400/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.
Perks
- 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