Remote Machine Learning Engineer

Description:

• Blockhouse is seeking a Quantitative Machine Learning Engineer to enhance their capabilities in financial analytics and execution.
• The position is a part-time role that allows for the application of advanced machine learning techniques, including transformers, PPO, LSTMs, and deep reinforcement learning algorithms.
• Key responsibilities include implementing and fine-tuning transformer-based models to improve trading algorithms, designing and evaluating reinforcement learning agents, and developing LSTM networks to predict market data patterns.
• The role also involves algorithm development and backtesting, ensuring model explainability and transparency, collaborating with quantitative teams, and contributing to continuous improvement in machine learning methodologies.

Requirements:

• Candidates should have a Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field.
• Strong expertise in advanced machine learning techniques, particularly transformer-based models, reinforcement learning (e.g., PPO), and LSTM networks is required. Knowledge of MLOps is a plus.
• Proficiency in Python and familiarity with libraries such as PyTorch, TensorFlow, and Ray is essential. Experience with distributed computing and optimization frameworks is a plus.
• An analytical mindset with strong mathematical and statistical skills is necessary, along with a detail-oriented approach to analysis.
• Candidates should possess problem-solving abilities and be comfortable tackling complex problems with innovative solutions.
• Outstanding communication skills are required to effectively convey complex technical concepts across multidisciplinary teams.

Benefits:

• The position offers an innovative environment at the forefront of financial innovation, integrating advanced machine learning techniques with traditional financial models.
• Employees will work alongside some of the brightest minds in the industry, fostering a culture that values bold ideas and radical solutions.
• The company promotes professional growth, continuous learning, and work-life balance within a vibrant company culture.
• Compensation is competitive and equity-only, recognizing contributions to the company's success.
• The role requires 20-30 hours per week with flexible remote working options.
• Blockhouse supports international students with CPT/OPT documentation and is open to flexible international payment arrangements for smooth onboarding.