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Coalition

Machine Learning Scientist

🌎

Any location, Canada

1w ago
👀 5 views
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Job Description

Remote

About us

Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines broad insurance coverage with a digital risk assessment and continuous security monitoring to help organizations protect themselves in today’s hyper-connected world.

Opportunities to make an impact with bold thinking are real - and happening daily.

About the role

Coalition is seeking a motivated and enthusiastic Machine Learning Scientist I to join our growing AI team. This position offers an exciting opportunity to work on the forefront of AI technology, specifically focusing on Large Language Models (LLMs), Agentic models, and other cutting-edge developments in machine learning. You'll collaborate with experienced ML scientists and engineers to develop and enhance intelligent models that address our business challenges, contributing to AI-driven initiatives.

Responsibilities

  • Assist in the development and execution of machine learning projects, from data gathering and analysis to model prototyping and evaluation.
  • Support the design and implementation of ML pipelines with a focus on LLMs and agentic models for tasks such as data preprocessing, feature engineering, and model training.
  • Stay updated with recent advancements in AI research, particularly in LLMs and agentic models, and explore their application within our projects.
  • Communicate your learning and progress effectively, seeking guidance to enhance your skills and understanding in these advanced areas.
  • Contribute to fostering a culture of learning and continuous improvement by sharing insights around cutting-edge AI technologies with the team.

Skills and Qualifications

  • Bachelor's degree in a quantitative or computational field (e.g., Computer Science, Data Science, Statistics) or equivalent practical experience.
  • Familiarity with machine learning methods and basic statistical analysis techniques.
  • Exposure to neural networks and deep learning technologies, including some understanding of LLMs and agentic models.
  • Proficiency in Python and a basic understanding of SQL.
  • Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude.
  • Strong communication skills with the ability to articulate technical concepts to both technical and non-technical audiences.

Bonus Skills

  • Basic experience with deep learning frameworks, such as PyTorch or TensorFlow, and their application in LLMs.
  • Experience with cloud platforms like AWS.
  • Interest or coursework in AI applications within industries such as Insurance or Fintech.
  • Experience with DBT, Airflow or similar analytics workflow tools is a big plus

Perks

  • 100% medical, dental, and vision coverage
  • Flexible PTO
  • Annual home office stipend and WeWork access
  • Mental & physical health wellness programs like Headspace, Lumino, and more!
  • Competitive compensation and opportunity for advancement

Why Coalition? 

We’re a remote-first, mission-driven team committed to building a more inclusive culture with people of all different backgrounds. We trust our team members to take responsibility, share ownership, and put in the work to help us in our pursuit to solve digital risk.

Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes and remain true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion. 

We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.

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Privacy Notice

Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled.

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Anti-Discrimination Notice

Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace.

 

Accommodations

Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction.

 

To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.

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