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Research Engineer ML Scientist

Open Evidence

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Join OpenEvidence, a rapidly growing medical AI platform that has achieved remarkable adoption, serving over 40% of US clinicians in just over a year through organic, product-led growth. We are a Series B company, backed by a world-class engineering team comprised of talent from MIT, Harvard, and Stanford. Our philosophy centers on the belief that groundbreaking products are born from small, exceptional teams of autonomous builders who are empowered with clear objectives, individual ownership, and the freedom to innovate rapidly. We are on a mission to define the definitive platform for medical AI, presenting a once-in-a-lifetime opportunity for ambitious individuals to shape the future of healthcare technology.
• As a Research Engineer | ML Scientist, you will be at the forefront of innovation, contributing to the development of cutting-edge AI solutions that have a tangible impact on hundreds of millions of lives. This role is for those who are driven by the desire to build, to own, and to see their creations deployed at scale, rather than focusing on academic research or incremental task completion.
• We foster a culture of uncompromising excellence, viewing the process of building novel technologies from scratch and scaling them exponentially as akin to professional sports. End-to-end ownership is paramount; we don't have separate product managers. Every engineer and scientist is directly responsible for driving significant product improvements, embodying the principle that important accomplishments stem from individual initiative.
• Our work environment is demanding and precise. We challenge conventional approaches, believing that adherence to existing methods guarantees mediocrity. The quality of our product is our highest priority, with meticulous attention paid to the smallest details. Simultaneously, we champion developer and product velocity, recognizing that the most effective engineers can swiftly tackle complex problems and implement efficient solutions without compromising user experience.
• Your primary objective will be to complete and launch impactful projects, demonstrating their value, or to iterate quickly and pivot when necessary. This is not a role for those seeking to simply complete assigned tickets or solely focus on writing research papers. Instead, it's an opportunity to immerse yourself in the creation process, to get your hands dirty, and to directly influence the trajectory of a product that will touch the lives of millions and drive significant revenue.
• We are seeking brilliant builders who are intelligent, ambitious, resourceful, autonomous, precise, motivated, hardworking, and possess a low ego. While specific technical skillsets are secondary to these core attributes, we value expertise in several key areas:
• Machine Learning: You have a proven track record of pushing the boundaries of modern ML models. Your background may include research, but your passion lies in practical application and building tangible products, with a strong desire for ownership and autonomy in shaping the future of AI. You prioritize rigorous evaluation and quantitative proof in your work.
• Applied AI: You excel at constructing end-to-end systems, leveraging a deep understanding of how to integrate modern ML models into thoughtfully designed and intentional architectures. Your intuition for practical AI application is a significant asset.
• Fullstack Development: You are motivated by the entire development lifecycle, from conception to completion. The prospect of creating something with your own hands and witnessing its adoption and appreciation by millions of discerning users is a powerful driver.
• Frontend/Mobile Development: You are passionate about controlling and perfecting the direct user experience. You possess an exceptional eye for detail and a commitment to crafting beautiful, modern, and intuitive interfaces. Experience building delightful mobile applications is highly valued.
• Infrastructure/Site Reliability: You are driven to eliminate any possibility of downtime for services critical to life-or-death decisions. You thrive in building robust, optimized backend systems for mission-critical applications.
• Performance Optimization: You understand that speed is not just about reducing latency; it's about fundamentally transforming the user experience. You enjoy identifying and eliminating inefficiencies to create seamless and magical user interactions.
• This role offers the chance to be part of a high-caliber team dedicated to solving complex problems in healthcare AI. You will have the autonomy to make significant technical decisions and the opportunity to see your work directly impact patient care and clinical workflows on a global scale. We are building the future of medical AI, and we invite you to be a foundational part of that journey.

🎯 Requirements

• Proven experience in pushing the boundaries of modern machine learning models, with a preference for those drawn to practical application over pure research.
• Demonstrated ability to build end-to-end systems, leveraging a strong intuition for integrating advanced AI models into thoughtful, intentional architectures.
• Strong understanding of quantitative proof and evaluation methods in the context of AI development.
• A proactive, autonomous, and results-oriented mindset, with a low ego and a commitment to uncompromising excellence.

🏖️ Benefits

• Opportunity to work on cutting-edge medical AI technology with a significant real-world impact.
• Be part of a high-caliber team with backgrounds from top-tier institutions like MIT, Harvard, and Stanford.
• High degree of autonomy and ownership in a fast-paced, innovative environment.
• Competitive compensation and equity in a rapidly growing Series B company.

Skills & Technologies

Remote

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Open Evidence

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About Open Evidence

Open Evidence is a technology company specializing in the development of advanced data analysis and evidence management solutions. Their platform is designed to help organizations, particularly in the legal and investigative sectors, to efficiently collect, organize, review, and analyze vast amounts of digital evidence. By leveraging cutting-edge artificial intelligence and machine learning, Open Evidence aims to streamline complex workflows, uncover critical insights, and reduce the time and cost associated with evidence processing. The company focuses on providing secure, scalable, and user-friendly tools that enhance the capabilities of legal professionals, law enforcement agencies, and corporate compliance teams in managing and presenting digital evidence effectively.

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