Senior RFIC Designer, CMOS RF and Analog
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Instacart is a grocery technology and delivery company focused on making it easier for people to shop for groceries and household essentials. Its platform connects customers with personal shoppers, supports delivery in as little as 30 minutes, and helps households find relevant coupons and deals. Instacart also develops tools for managing complex delivery conditions, including rerouting orders during severe weather. The company describes its broader ambition as building the operating system for the grocery industry, while fostering a flexible, diverse, equitable, and inclusive work environment for its teams.
Senior Software Engineer II, Ads Quality — Remote, United States
Build machine learning infrastructure for Instacart’s Ads Quality organization, spanning model training, serving, and real-time feature systems. Improve advertising performance across a grocery delivery marketplace through scalable, low-latency engineering.
United States$192,000 – $242,500 / year
RemoteFull-timeSeniorEnglish RequiredFull-stack EngineerSoftware EngineerDescription
- Create, deploy, and evolve machine learning infrastructure for challenging marketplace problems
- Extend the company-wide ML training and serving platform in partnership with the ML Foundation team
- Improve training and serving performance across throughput, cost, latency, accelerator usage, and tail latency
- Diagnose infrastructure and operational-process instability to strengthen system availability
- Develop real-time feature-processing infrastructure and low-latency pipelines that deliver fresh model inputs
- Own infrastructure for a real-time sequential foundation model, including online sequence stores, streaming updates, long-context serving, and training workflows
- Co-design technical systems with product managers, data scientists, and machine learning engineers
- Work with stakeholders to connect technical solutions to business objectives
- Guide technical direction, review code, and support the growth of other engineers
- Promote ongoing improvement and high standards of technical execution
Requirements
- Hold a graduate degree in computer science, artificial intelligence, machine learning, operations research, or a comparable combination of independent study and experience
- Bring at least three years of industry experience developing ML infrastructure or applying machine learning to real-world, large-scale data problems
- Demonstrate substantial experience building, scaling, and operating production ML training or serving infrastructure
- Understand contemporary machine learning systems and MLOps practices
- Program confidently in Python and/or Go
- Work proficiently with SQL, Spark, and Pandas
- Have hands-on expertise with Torch, TensorFlow, and XGBoost
- Apply strong analytical reasoning and problem-solving skills
- Communicate clearly and effectively in writing and conversation
- Collaborate productively with stakeholders across functions and organizational levels
- Be comfortable taking on unfamiliar domains, programming languages, and problem spaces
Benefits
- Choose a flexible work setting, including home, office, or a coffee shop
- Take part in recurring in-person company events
- Receive an equity grant when joining
- Receive annual equity refresh grants
- Access compensation and benefits that are competitive for the market and adjusted by work location
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