Senior Machine Learning Engineer

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 dataset setup, controls development, hypothesis tests, ablation studies, and rigorous outcome evaluation.
- Expertise in Python and libraries such as Pandas, LangChain, NumPy, Scikit-Learn, TensorFlow, and/or PyTorch.
- Strong software engineering foundation with a commitment to 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 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.

At Reserv, we value diversity in backgrounds, perspectives, and life experiences. We 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!