Demo

Senior Machine Learning Engineer

Reserv Claims Analysis LLC
Atlanta, GA Full Time
POSTED ON 1/19/2025
AVAILABLE BEFORE 4/18/2025

Do not wait to apply after reading this description a high application volume is expected for this opportunity.

Description

About Reserv

Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Reserv is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike.

We have ambitious (but attainable!) goals and need people who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can’t wait to meet you.

Who you are

As a Senior Machine Learning Engineer at Reserv, you will define our technological trajectory and drive growth for years to come. You will play a crucial role in our data science team, collaborating directly with customers to develop AI and machine learning solutions that address critical operational inefficiencies. This position is ideal for a data scientist with a solid foundation in software engineering, predictive modeling, and an innovative mindset ready to shape the future of our technology.

What we need

  • Develop and integrate AI models and machine learning solutions using our tech stack : Python, AWS (including Bedrock, SageMaker), Docker, Postgres, and Ruby on Rails.
  • Collaborate with product management and operations to identify and prioritize machine learning opportunities.
  • Design, test, and deploy scalable machine learning architectures that facilitate rapid iteration, secure deployment, and user-friendly access.
  • Guide the creation and implementation of both heuristic and complex machine learning models, adhering to the principle of "Occam’s Razor."
  • Mentor junior data scientists and support developers at customer companies.
  • Continuously deploy code from day one, influencing and enhancing our engineering culture.
  • Communicate technical ideas and specifications clearly and precisely.
  • Engage with cross-functional teams including product ops, design, and sales as our product and engineering teams expand.

Requirements

  • 8 years of experience as a data scientist with a robust portfolio demonstrating high-quality product delivery.
  • Experience in running end-to-end experiments, including setting up datasets, developing controls, conducting hypothesis tests, running ablation studies, and rigorously evaluating outcomes.
  • Expertise in Python and libraries such as Pandas, LangChain, NumPy, Scikit-Learn, TensorFlow, and / or PyTorch.
  • Strong software engineering foundation with a commitment to delivering high-quality, maintainable, and well-tested code
  • Proven ability to stay updated with state-of-the-art techniques through continuous research and application.
  • Strong ability to prioritize customer requirements and adapt quickly to evolving project scopes.
  • Passionate about creating intuitive technology solutions and a continuous desire to learn and take on new challenges.
  • Benefits

  • Generous health-insurance package with nationwide coverage, vision, & dental
  • 401(k) retirement plan with employer matching
  • Unlimited vacation time with minimum time-off – we want our employees fresh, healthy, happy, and energized!
  • Generous family leave policy
  • Work from anywhere to facilitate your work life balance paired with frequent, regular corporate retreats to build team cohesion, reinforce culture, and have fun
  • Your choice of Windows or Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder!
  • At Reserv, we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you!

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