# Machine Learning Engineer II, Ads - Response Prediction

**Company:** [Instacart](https://hotfix.jobs/companies/instacart)
**Location:** Remote
**Role:** ML Engineering
**Salary:** CA$154k – CA$163k/yr
**Skills:** Machine Learning, SQL, Spark, pandas, Deep Learning, Sequential Modeling, Transformers, Foundation Models, LLMs, Recommendation Systems
**Posted:** 2026-08-20

> Develop and deploy machine learning systems for Instacart’s advertising ecosystem, spanning data pipelines, model architectures, serving, experimentation, and optimization. The role requires a graduate degree and strong programming, analytical, and collaboration skills, with experience in large-scale ML systems preferred.

## Job Description

## Responsibilities
- Design, develop, and deploy machine learning solutions, including data pipelines, model architectures, and serving integrations for ads-related challenges.
- Formulate ambiguous modeling problems and translate business observations into well-defined ML research directions with clear evaluation criteria.
- Collaborate with product managers, data scientists, and infrastructure engineers to create impactful ML applications.
- Improve operational efficiency by refining and advancing algorithms and models.
- Publish and present findings internally; contribute to design reviews, paper sharing, and experiment retrospectives.

## Requirements
- Graduate degree (master's or PhD) in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field.
- Strong programming skills and fluency in data manipulation and machine learning tools.
- Strong analytical and problem-solving abilities.
- Effective communication and collaboration skills.

## Nice-to-haves
- 1–2 years of industry experience applying machine learning to real-world problems with large datasets.
- Knowledge of sequential modeling, Transformer architecture, and foundation models.
- Familiarity with LLM integrations, agentic workflows, and productivity tooling.
- Experience building large-scale online recommendation systems.

## Compensation and Benefits
- Base pay: CA$154,000–$162,500 CAD.
- Eligible for a new-hire equity grant and annual refresh grants.
- Benefits vary by employee location.

## Similar jobs

- [Software Engineer - AI Automation](https://hotfix.jobs/jobs/5184d049-8c0b-4184-8b13-c810a07b5886) - Coalition Security - Remote - $115k – $168k/yr
- [AI Software Engineer](https://hotfix.jobs/jobs/c9a0e889-a36e-488f-87d0-e9c27ab63bf0) - Rollstack - Remote
- [AI Engineer - New Verticals](https://hotfix.jobs/jobs/4159c72e-536e-4211-969c-6bcb9ad805fd) - Protege - Remote
- [Agent Systems Engineer](https://hotfix.jobs/jobs/2b04a068-018b-4fe0-915f-4fdf80d4c582) - Adaption Labs - San Francisco, CA
- [Inference Performance Engineer](https://hotfix.jobs/jobs/7718c69a-6d49-445e-8c7c-840bd1b3f346) - Adaption Labs - San Francisco, CA

**Apply:** https://hotfix.jobs/jobs/2de72620-5e5f-4ae8-97a3-4d1932b3062f
**Canonical:** https://hotfix.jobs/jobs/2de72620-5e5f-4ae8-97a3-4d1932b3062f