Senior Machine Learning Scientist
Confirmed live in the last 24 hours
Coalition

501-1,000 employees

Active insurance and cybersecurity tools provider
Company Overview
Coalition, Inc. stands out as a pioneering Active Insurance provider, merging comprehensive insurance coverage with cybersecurity tools to preemptively tackle digital risks. Their unique offering, Coalition Control, provides a robust cyber risk management platform accessible to all policyholders, aiding in the detection, assessment, and mitigation of cyber threats across an organization's digital landscape. With a distributed global workforce and a dedicated research center, Coalition Security Labs, the company fosters a culture of continuous learning and collaboration, while maintaining a leadership position in the cybersecurity insurance industry.
Data & Analytics
Fintech
Cybersecurity
AI & Machine Learning

Company Stage

Series F

Total Funding

$830M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

5%

2 year growth

90%
Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
Keras
Pytorch
SQL
AWS
CategoriesNew
AI & Machine Learning
Requirements
  • Ph.D. or MS degree in a quantitative or computational field
  • 5+ years of full-time work experience leading work to develop and deploy machine learning- and data-based solutions in production
  • Practical and extensive experience in supervised and unsupervised machine learning methods
  • Expertise in statistical analysis methods, most notably regression analysis, statistical inference, and forecasting
  • Proficiency in SQL and programming in Python
  • 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
  • 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
Desired Qualifications
  • Excellent knowledge of the theory and practice of generative AI, Large Language Models and RLHF
  • Experience with ML frameworks such as: PyTorch, Tensorflow, Keras, etc
  • Extensive knowledge of MLOps best practices
  • Experience with AWS Sagemaker
  • Experience in Insurance or Fintech though not required for this role