Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
About the role
- Senior ML Engineer developing debiased pCTR and conversion models for Instacart’s grocery advertising ecosystem. Advancing ranking, retrieval, and sequence modeling across ads surfaces.
Responsibilities
- Own and execute research and development of pCTR and conversion prediction models
- Improve calibration, reduce training data biases, and advance model accuracy across Instacart ads surfaces
- Design and implement debiasing techniques including Mixed Negative Sampling, Inverse Propensity Weighting, counterfactual risk minimization, Platt scaling, and isotonic regression
- Contribute to Multi-Domain Multi-Task model architecture using Mixture-of-Experts, Transformer layers, and LoRA adapters
- Contribute to sequence modeling initiatives including TIGER generative retrieval and Semantic ID representation learning
- Collaborate on Foundation Models using autoregressive user behavior prediction
- Formulate ambiguous modeling problems and translate business observations into ML research directions with clear evaluation criteria
- Publish and present findings internally
- Contribute through design reviews, paper sharing, and experiment retrospectives
Requirements
- Master's or PhD in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field; or equivalent experience
- 3+ years of combined academic and industry experience, including PhD research, applying ML to ranking, recommendation, or prediction problems at scale
- Deep understanding of CTR/conversion prediction modeling, including Deep & Wide, DeepFM, DCN, and multi-task learning
- Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation
- Ability to reason about selection bias, position bias, and propensity-based correction methods
- Proficiency in Python and deep learning frameworks: PyTorch, TensorFlow, and JAX
- Fluency in SQL, Spark, and Pandas
- Track record of formulating ambiguous problems into well-scoped ML research directions and delivering results through rigorous experimentation
- Strong written and verbal communication skills
- Ability to explain complex modeling decisions to cross-functional stakeholders including product managers and data scientists
Benefits
- Flexible choice of work location: home, office, or favorite coffee shop
- Regular in-person events
- New hire equity grant
- Annual refresh equity grants
- Market-competitive compensation and benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions for TD banking. Evaluating models, managing AI lifecycles, and supporting responsible implementation.
Senior Machine Learning Engineer building conversational AI agents and production ML systems. Helping Numa automate automotive dealership service and sales through evaluation - first tooling and infrastructure.
Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
Senior AI/ML Engineer building Generative AI, RAG, and agentic solutions for pharmaceutical Statistical Programming. Deploying secure, validated, production - ready AI applications with Python and AWS.
Senior Machine Learning Engineer building LLM - powered lab interpretation and clinical decision - support tools for Fullscript’s healthcare platform. Owning AI systems from prototyping through production.
Staff ML engineer building models, evaluations, and agentic systems for Sourcegraph’s code - understanding products. Improving enterprise code search quality, latency, cost, and reliability.
Senior Machine Learning Engineer productionizing computer vision models for Samsara’s IoT - powered Connected Operations Cloud. Building low - latency APIs, data pipelines, and monitoring for fleet - scale safety features.
Machine Learning Engineer supporting Helm.ai’s neural - network research operations. Evaluating experiments, identifying failure modes, and reporting quantitative results for autonomous - driving technology.
Graduate co - op scientist at TD, a global financial institution, developing machine learning models and analytics solutions. Querying data, engineering features, and translating insights into banking decisions.