Machine Learning Scientist

Coalition, Inc.; United States; Remote; USD 88,000 - 134,000; Full time

Job summary

An innovative company is seeking a motivated Machine Learning Scientist I to join its dynamic AI team. This exciting role focuses on cutting-edge AI technology, particularly Large Language Models and agentic models. You'll have the opportunity to collaborate with experienced scientists and engineers, contributing to impactful AI-driven initiatives. The position offers a chance to work in a remote-first, inclusive culture that values collaboration and continuous learning. If you're eager to tackle real-world challenges in the insurance industry and grow your skills in a supportive environment, this role is perfect for you.

Benefits

100% medical, dental and vision coverage

Flexible PTO policy

Annual home office stipend

WeWork access

Mental & physical health wellness programs

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience required.
• Proficiency in Python and basic understanding of SQL is essential.

Responsibilities

• Assist in the development and execution of machine learning projects.
• Support the design and implementation of ML pipelines focusing on LLMs.

Skills

Machine Learning

Python

Statistical Analysis

Communication Skills

Neural Networks

Deep Learning

Education

Bachelor's degree in a quantitative field

Tools

PyTorch

TensorFlow

AWS

SQL

DBT

Airflow

Job description

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Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.

Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.

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.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $88,000/year in our lowest geographic market up to $134,000/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

Why Coalition?

Work at Coalition is centered on the joint mission to Protect the Unprotected. We have built a remote-first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.

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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

Insurance