AI/ML Applied Research Scientist

Libero Capital is a new, research-driven investment firm applying cutting-edge machine learning and AI to develop systematic trading strategies across global markets.

We combine deep technical rigor with real-world impact—designing systems that learn from vast, complex market data and adapt in real time. Our team thrives on experimentation and innovation, advancing state-of-the-art systems to solve some of the hardest problems in quantitative investing.

At Libero, we’re building an automated, intelligence-driven and robust research and investment platform in a way the industry hasn’t seen before. It’s a rare opportunity to shape the foundations of a new firm, collaborate closely with world-class engineers and researchers, and push the boundaries of what’s possible in applied machine learning. You can be a part of that adventure. Join us—and help define the future.

Our Quantitative Research and Engineering team is focused on building an advanced research platform that supports large volumes of data and harnesses compute at scale to unlock new frontiers in applied AI/ML. Our mandate is not only to produce new strategies across our investment business, but to collaborate cross-functionally to bring our AI/ML expertise to any relevant system,challenge or opportunity across the firm. Lastly, we are incubating ambitious research projects across various domains of machine intelligence to redefine quantitative finance.

The ideal candidate has experience either advancing the state of the art in machine learning and deep learning, or has displayed an ability to bring advances from AI research to their field of application. We are seeking researchers with a domain of expertise but who have a strong generalist background in quantitative disciplines.

You must display curiosity, creativity and passion and an eagerness to work with others as we are seeking to redefine how quantitative research is conducted in financial sciences. We value professionals who are constantly looking to learn, can perform research independently and own their work, and understand that long-term scientific success will be the result of a team effort.

• Analyze large time series datasets to form hypotheses and develop new signals

• Survey the state of the art in AI through reading circles, conferences, and academic seminars to constantly drive innovation within the group

• Develop and evaluate novel solutions to challenging forecasting and optimization problems

• Contribute to a shared research platform with likeminded scientists and join collegial efforts to push the boundaries of AI systems in financial sciences

• Collaborate with domain experts across the firm to find synergies and identify projects that would drive high impact in the real world

• Communicate about your research to your peers and cross-functional stakeholders

• BS/MS/Ph.D. in CS/Stats/Math conducting research in machine learning or deep learning, or degrees in quantitative fields (e.g., engineering, physics, biology, medicine, chemistry) with a record as an applied researcher using advanced deep learning techniques

• Fluency in Python to write research code and collaborate with others on a shared codebase

• Ability to collaborate with people from diverse technical backgrounds and learn fast from domain experts

• Experience with deep learning frameworks such as PyTorch or TensorFlow

• Ph.D. candidate with first author publications either in peer-reviewed AI conferences (e.g., NeurIPS, ICML, CVPR, ICLR, ICCV, ACL) or in peer-reviewed journals in your field of research

• First hand experience taking AI models to production

• Experience with handling experiments involving large datasets: from a data management, computational resources, training time optimization and data quality standpoint

• Exposure to large scale deep learning models training, or fine-tuning of large foundation models

Core Benefits:

• Comprehensive medical, dental, and vision insurance for employees and dependents

• 401(k) with competitive company match to support your financial future

• Life and disability insurance, plus access to mental health resources

Time Off:

• 20 days of paid time off

• Annual birthday holiday

• Flexible work from home policy

Team Culture:

• Collaborate with some of the brightest minds from all over the world — be challenged and inspired every day

• Team lunches, events and conference opportunities

• Inclusive, mission-driven culture where your voice matters and your impact is real

Libero Capital is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected status.