AI Researcher

Role Overview

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state‑of‑the‑art technologies inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods (e.g. GPT‑4) to discover and capitalize on trading opportunities.

The nature of the problems we work on is challenging, so we hire top AI talent to develop novel AI methods and trading strategies. Our team has been recognized as leaders in the field, with researchers widely cited in top‑tier peer‑reviewed scientific journals. We are passionate about hiring the best and brightest, empowering them with the tools and mentorship needed to succeed in a highly collaborative and open environment.

• Earned or will earn a Master’s or Ph.D. in a quantitative field such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another scientific field.
• Experience analyzing large datasets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time‑series analysis, hidden Markov models, high‑dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.
• Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g., NLP, vision, speech, signal processing, scientific computing, finance, etc.). Finance applications preferred but not required.
• Ability to generate impactful research in academic or professional pursuits.
• Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensor Flow, etc.
• Interest learning about financial markets (previous experience not required).

• Flat structure with direct executive exposure – work closely with leadership and make an impact from day one.
• Comprehensive health benefits – full health insurance coverage for employees and dependents.
• Daily meals provided – free breakfast, lunch and dinner at the office.
• Gym membership – stay healthy with gym reimbursement and onsite gym access.
• Unlimited office snacks – fuel your day with favorite snacks, always stocked.
• Fun team outings – build camaraderie and unwind with regular events.
• Organized poker, ping‑pong, and game nights – we’re a competitive group that enjoys getting together to challenge one another.

The base salary range for this role is between $175,000 and $250,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits. Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.