As a Senior Machine Learning Research Engineer on the team, you’ll help build the algorithmic

foundations of Predata’s global intelligence platform, and have the chance to interact with other

teams and cross-functional stakeholders across a wide range of industries.

Predata is a predictive analytics startup using machine learning to uncover insights into online activity and monitor geopolitical risk. We come from the worlds of technology, political science, and finance, and share a commitment to building the future of machine-augmented decision-making. We celebrate people who take responsibility for solving problems and developing new ideas. Our team optimizes for communication and collaboration rather than hierarchy. We believe in the importance of narrative-driven insight and always try to see the human elements behind our data.

You are passionate about solving critical global problems through the development and application of advanced data science and machine learning techniques. You function well as part of a collaborative team but have the experience and knowledge to drive autonomously forward on research projects aligned with the broader mission of an organization. You strive to improve yourself, your teammates, and the world in all that you do. When faced with difficult technical challenges you propose and seek solutions rather than focusing on the problems.

What To Expect In This Position:

• Improve datasets currently utilized by Fortune 500 companies, top-tier hedge funds, and
• government agencies
• Build cutting-edge models of online activity, fusing data from millions of “sensors” — web
• pages across the internet — into a complete picture of global attention
• Model the online attention environment before and after major events
• Model how attention to news affects the flow of web traffic
• Model the seasonal drivers of human activity
• Help shape the company’s long-term ML strategy

What Sets You Apart

• 3+ years of ML research + engineering experience in a leading academic or industry
• context
• An extensive track record of shipping cutting-edge and impactful ML products
• Excellent grasp of the mathematical foundations of machine learning theory and recent
• advances in the field
• Practical experience with modern ML frameworks: able to rapidly prototype ideas from
• the latest research
• Comfortable doing anything and everything in modern Python and processing data in
• Unix-like systems
• A focus on clear and effective communication
• Technology Proficiency Requirements: Python and the modern Python ML stack including numpy/pandas/scikit-learn, Django, Celery, PostgreSQL, Docker, AWS
• Front-End: Mithril.js, React, D3, TypeScript, ES6, Sass, Webpack, Babel 
• Back-End: Python, Django, numpy/pandas/scikit-learn, Celery, PostgreSQL, Elasticsearch, Redis, RabbitMQ, Docker, AWS

Excited about this role, but don't meet 100% of the expected qualifications listed above? We'd still love for you to apply! FiscalNote is committed to building a diverse and inclusive workforce where unique experiences are valued and everyone has the opportunity to contribute. Research has continuously shown that women and people of color are less likely to apply to jobs unless they meet all of the listed qualifications. We want to help overcome this trend and seek to make space for unique and relevant skills and attributes. So, when applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we'd be happy to connect!

As part of FiscalNote's commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.

About FiscalNote 

FiscalNote is the premier information services company focused on global policy and market intelligence. By combining AI technology, expert analysis, and legislative, regulatory, and geopolitical data, FiscalNote is reinventing the way that organizations minimize risk and capitalize on opportunity.

Home to CQ, Roll Call, Oxford Analytica, and VoterVoice, FiscalNote empowers more than 5,000 clients worldwide to monitor, manage, and act on the issues that matter most to them. To learn more about FiscalNote and its family of brands, visit FiscalNote.com and follow @FiscalNote. 

Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family 

FiscalNote offers competitive salaries, equity packages, and retirement accounts to ensure we’re all FN owners. We work hard, so our open vacation policy helps us ensure you’re getting the R&R you need. We offer comprehensive health, vision, and dental insurance options supplemented by a flexible spending account (FSA). We have a slew of other benefits which you can check out at careers.FiscalNote.com.

FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.