Remote Machine Learning Engineer

Description:

• Blockhouse is seeking a Machine Learning Engineer to enhance financial analytics and execution by implementing sophisticated machine learning models.
• The role involves developing and optimizing transformer-based models, designing reinforcement learning agents, integrating LSTM networks, and backtesting new algorithms.
• The ideal candidate will collaborate with quantitative teams, stay updated on the latest machine learning trends, and ensure model explainability and transparency.

Requirements:

• Educational Background: Bachelors, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field.
• Machine Learning Expertise: Strong knowledge of transformer-based models, reinforcement learning (e.g., PPO), LSTM networks, and MLOps.
• Programming Proficiency: Proficient in Python, with experience in PyTorch, TensorFlow, and Ray. Knowledge of distributed computing and optimization frameworks is a plus.
• Analytical Mindset: Detail-oriented with strong mathematical and statistical skills, capable of innovative problem-solving.
• Communication Skills: Excellent communication skills to convey technical concepts effectively across multidisciplinary teams.

Benefits:

• Innovative Environment: Be part of financial innovation by integrating advanced machine learning techniques with traditional financial models.
• Expert Team: Collaborate with industry experts, fostering a culture that values bold ideas and radical solutions.
• Professional Growth: Enjoy career development opportunities, continuous learning, and work-life balance.
• Compensation: Competitive equity-only compensation to recognize contributions to success.
• Work Hours: Part-time role requiring 20-30 hours per week with flexible remote working options.