Senior Machine Learning Engineer, AI Generation Engine

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and oversee the construction of effective data pipelines for the training, validation, and ongoing retraining of Large Quantitative Models (LQMs) and agentic frameworks.

• Create, implement, and rigorously validate innovative ML models and algorithms, establishing suitable metrics to ensure that model performance meets overarching product goals.

• Assist in the processes of cleaning, transforming, and engineering features from intricate and large-scale datasets to enhance LQM performance and predictive accuracy.

• Perform in-depth analysis of model behavior, performance, and failure modes, fine-tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production environment.

• Work closely with AI researchers, product managers, and software engineers to convert high-level business objectives into executable ML development and deployment strategies.

• Advocate for and uphold outstanding engineering standards for code quality, system efficiency, and security within a prototyping setting.

⛳️ Requirements

• Bachelor's degree in Software Engineering, Computer Science, or a related field of study.

• Over 5 years of professional experience in software development.

• Proven experience in developing highly available, efficient, and scalable ML systems, including large-scale data processing pipelines.

• Strong proficiency in Python, covering the ML stack: PyTorch, TensorFlow, JAX, NumPy, and Pandas.

• Extensive track record of managing the complete ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment.

• Advanced knowledge of 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.

🏝️ Benefits

• Competitive salary, equity, and annual bonus.

• 401k matching at 50% up to the IRS maximum contribution.

• Unlimited PTO along with a summer and winter break (one week each).

• Twelve weeks of fully paid parental leave in the US, with an additional 8 weeks for birthing parents.

• $750 budget for equipment, software, and office furniture.

• $100 monthly allowance for wellness (physical or mental) and $100 for home office expenses.

• Comprehensive medical, dental, and vision insurance for you and your dependents, with 95% of premiums covered for employees.

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