Coalition, Inc. · 3 days ago
Machine Learning Engineer
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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.
Qualification
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Required
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.
Preferred
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
Company
Coalition, Inc.
Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes.
H1B Sponsorship
Coalition, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (17)
2022 (19)
2021 (9)
Funding
Current Stage
Late StageTotal Funding
$770MKey Investors
Index VenturesValor Equity PartnersRibbit Capital
2022-07-08Series F· $250M
2021-09-28Series E· $205M
2021-03-17Series D· $175M
Recent News
2024-05-07
Coverager - Insurance news and insights
2024-05-05
FinTech Global
2024-04-17
Company data provided by crunchbase