Jobs at pinely

Lead the development and research of AI models to predict financial prices, supervise researchers, and enhance DL strategies in the financial industry.

The Lead Quantitative Developer will oversee the team's strategy codebase, mentor engineers, manage priorities, drive alignment with infrastructure, and enhance research cycles using AI tools.

As a Junior Deep Learning Researcher, you will conduct AI research, develop deep learning architectures, analyze datasets, and collaborate on trading strategies.

The intern will work on developing and optimizing high-frequency trading strategies, analyzing market data, and collaborating with researchers and developers in quantitative finance.

As a Machine Learning Research Intern, you will conduct research on HFT strategies, analyze market opportunities, and collaborate on strategy implementation using ML techniques.

Join a trading team to analyze global markets and develop profitable trading strategies using machine learning and statistical models.

Optimize ML model training pipelines for speed and reliability, applying GPU optimization techniques and mentoring team members on performance best practices.

The Senior Quantitative Researcher will lead the development and deployment of ML-based statistical arbitrage strategies while mentoring team members and collaborating with internal teams.

As a Quantitative Developer, you will bridge research and development, improving trading strategies and infrastructure while writing high-quality code.

As a Junior Quantitative Researcher, you will develop and optimize trading algorithms, analyze market strategies, and collaborate with developers to enhance trading opportunities.

As a C++ Developer Intern, you will assist experienced engineers in solving multi-threaded computing challenges and optimizing code for performance, while potentially working on low-latency trading projects.

Lead and grow an ML infrastructure team building training frameworks, dataset pipelines, orchestration, experiment tracking, GPU/compute infrastructure, and release tooling to scale deep learning research into production. Drive performance, reliability, reproducibility, hire and mentor engineers, collaborate closely with researchers, and contribute hands‑on code to reduce training time and improve hardware utilization.

The Research Analyst will optimize production systems using advanced analytics and machine learning, focusing on statistical analysis, performance metrics, and data-driven decision-making.

Conduct original research in AI and machine learning, develop deep learning architectures, analyze large datasets, and explore new methodologies.

Design and maintain high-performance trading systems, optimize algorithms and hardware, and collaborate with teams to enhance trading operations.