Senior 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.

Contribute to the efforts 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.

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

5+ 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)

Competitive salary, equity and annual bonus

401k matching at 50% up to IRS maximum contribution

Unlimited PTO plus a summer and winter break (one week each)

Twelve weeks of fully paid parental leave in the US, with another 8 weeks for birthing parents

$750 equipment, software, and office furniture budget

$100 per month for wellness (physical or mental) and $100 for home office bills

Top-notch medical, dental and vision insurance for you and your dependents with all premiums covered at 95% for employees

Family Planning support (fertility, surrogacy, adoption) through Carrot

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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