# Senior Software Engineer II - Ads Quality

**Company**: Instacart
**Location**: United States - Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $192,000-$242,500
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/instacart/jobs/8234282?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_30ba4d1a-4c7

## Description

At Instacart, we're transforming the grocery industry by delivering an essential service that customers rely on to get their groceries and household goods. As a Senior Software Engineer II in the Ads Quality team specializing in ML infrastructure, you'll work with a team of software and machine learning engineers to build state-of-the-art systems that optimize Ads performance throughout the ads serving funnel.

You'll own the technical direction of our data, feature processing and model training/serving solutions, enabling next-generation modelling opportunities. You'll eliminate bottlenecks across the training and serving system to optimize stability, latency and cost.

Responsibilities:

- Design, develop, and deploy machine learning infrastructure to tackle practical challenges in our complex marketplace while advancing the training and serving platform.

- Work with the company-wide ML Foundation team to develop solutions to meet Ads unique needs.

- Optimize training and serving funnel bottlenecks,profiling real systems and driving meaningful wins in throughput, cost, and latency.

- Identify instabilities and shortcomings of our systems and operating procedures to deliver best-in-class availability.

- Build real-time feature processing infrastructure,low-latency pipelines that compute, join, and serve fresh features to models on the critical path of every ad request.

- Lead the infrastructure foundation for our real-time sequential foundation model, including online sequence feature stores, streaming update paths, efficient long-context serving, and training pipelines that keep pace with rapidly evolving data.

- Collaborate closely with product managers, data scientists, and MLEs to deeply understand business needs and co-design systems where product, model architecture and infrastructure constraints are solved together.

- Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.

- Mentor engineers, set technical direction, and conduct thorough code reviews to ensure high code quality and maintainability.

Requirements:

- Graduate degree (masters or PhD) in computer science, artificial intelligence, machine learning, operations research or equivalent self-study and experience.

- 3+ years of industry experience building ML infrastructure or using machine learning to solve real-world problems with large datasets.

- Deep expertise building, scaling and managing ML infrastructure for training and/or serving in production, with a strong understanding of modern machine learning systems and MLOps.

- Strong programming skills in software engineering (e.g., Python, Go), along with expertise in data manipulation using tools (SQL, Spark, and Pandas), and ML frameworks (Torch, Tensorflow, XGBoost).

- Strong analytical and problem-solving skills.

- Excellent communication skills (both verbal and written) and can collaborate with a diverse group of stakeholders across all levels.

Benefits:

- Highly market-competitive compensation

- New hire equity grant

- Annual refresh grants

- Flexible remote work policy

## Skills

### Required
- Python
- Go
- SQL
- Spark
- Pandas
- Torch
- Tensorflow
- XGBoost
- machine learning
- MLOps

### Nice to have
- sequential modeling
- transformer architecture
- generative retrieval
- large scale online recommendation systems
- digital advertising platforms
- LLM integrations

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/instacart/jobs/8234282?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)