Senior Machine Learning Engineer



Software Engineering
Posted on Tuesday, July 4, 2023
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.

Coalition offers its Active Insurance products in the U.S., U.K., and Canada through relationships with leading global insurers including Allianz, Arch Insurance, Lloyd’s of London, Swiss Re and Zurich, as well as cyber capacity through its own carrier, Coalition Insurance Company. Coalition's Active Risk Platform provides automated security alerts, threat intelligence, expert guidance, and cybersecurity tools to help businesses worldwide remain resilient against cyber attacks.

Coalition comprises a team of cybersecurity and technology experts, as well as experienced insurance professionals, who have come together to build a world-class organization with a massive technological advantage. Our secret sauce is bringing these expertise together to create a world-class organization with one mission: to protect the unprotected as the world digitizes. Today, Coalition is one of the world’s largest commercial insurtechs serving hundreds of thousands of customers worldwide.

Since its founding, Coalition has raised $755 million in equity funding, including $250 million in June 2022, affirming its ability to deliver profitable growth and cementing its position as a long-term business with a clear competitive advantage.

Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes, and by remaining true to our founding values of character, humility, responsibility, purpose, authenticity and inclusion. We are proud to have been named among Inc.’s Best Workplaces in 2021 and 2023, and one of Fast Company’s Most Innovative Companies in 2022.

About the Role

Coalition is looking for an experienced machine learning engineer to join our growing team of data scientists and help design and execute the vision for MLOps at Coalition. As an ML engineer, you will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest developments in the field. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology.

This is a remote position that can be based anywhere in the United States.


  • Architect and implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments
  • Design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration
  • Use the latest cloud technologies to design, implement, and test scalable distributed data systems. Champion engineering excellence by continuously improving systems and processes
  • Research, experiment with, and implement suitable ML algorithms and tools
  • Implement and scale data pipelines, new features, and algorithms that are essential to our production models
  • Research groundbreaking ML algorithms and tools, developing prototypes that 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

  • 5+ years of ML or ML Ops experience in a production environment
  • 3+ years of experience with the AWS technical stack and data infrastructure such as Kubernetes, Docker, and Airflow
  • 2+ years of experience in deploying ML services to the cloud, including API development and design for scalability, performance, and reliability
  • Experience in working with ML frameworks like MLFlow, TensorFlow and Keras
  • Experience with database (SQL and NoSQL) systems such as Snowflake, Postgres, MongoDB
  • Strong programming skills in Python (5+ years)
  • Excellent interpersonal and collaboration skills

Bonus Points

  • Master's degree in machine learning, neural networks, deep learning or related fields.
  • Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.
  • Experience with Sagemaker
  • Experience in Insurance or Fintech


  • 100% medical, dental and vision coverage
  • Flexible PTO policy
  • Annual home office stipend and WeWork access
  • Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
  • Competitive compensation and opportunity for advancement
  • Coalition’s individual pay is determined on several factors, including but not limited to, location, level, skills and experience. The US base salary range for this full-time position is $165,000 - $250,000, and your recruiter can share more on target salary for your location during the interview process.


Why Coalition?
We’re a highly fulfilling, mission-driven team who is committed to building a more diverse and inclusive culture. We want to work with people of all different backgrounds and paths in life, and we trust our team members to take responsibility, share ownership and put in the work, no matter how small the task. We are always looking for collaborative, inquisitive and dedicated individuals to join #OurCoalition and help us on our mission to solve digital risk.
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Coalition's very foundation is built on respecting and encouraging diversity and inclusion across the organization. Coalition is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.