Staff Machine Learning Engineer, AI Generation Engine

Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks.

Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives.

Lead the effort in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy.

Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context.

Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps.

Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment

Drive technical execution with high autonomy, making critical design and implementation decisions independently

BS in Software Engineering, Computer Science, or equivalent field of study

8+ years of postgraduate experience in software development

Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines.

Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas)

Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment.

Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights & Biases, MLflow), automated testing, and version control for both code and datasets.

MS or PhD in Software Engineering, Computer Science or equivalent experience

Financial simulation or technical experience, risk simulation

Equivalent experience includes tech leadership in a complex space, driving technical design and execution cross-collaboratively across multiple teams and organizations

Experience with scalable software development on cloud computing platforms (e.g., GCP, AWS)

We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.

Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.

Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

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