Machine Learning Engineer II, Ads - Response Prediction
Instacart · Canada - Remote (ON, AB, BC, or NS Only)
Posted 27 days ago
or apply directly on Instacart's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days Instacart's roles stay open a median of 33 days
- Reposted
- No
- Salary listed
- No 0% of Instacart's roles list one
- Ghost-job risk at Instacart
- moderate 36 stale, 3 reposted of 109 open
- Hiring momentum
- 212 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Instacart's own greenhouse board since 2026-08-03. Full hiring picture for Instacart.
About this role
As a Machine Learning Engineer II at Instacart, you will collaborate with senior engineers and product leaders to develop and enhance the company's ad systems. Your role will involve designing, developing, and deploying machine learning solutions, including data pipelines and model architectures, while addressing practical challenges in the ads organization. You will also translate business observations into well-defined ML research directions and contribute to the team's technical culture through collaboration and knowledge sharing.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Instacart as an employer.
What you need
- Graduate degree (masters or PhD) in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field
- Strong programming skills and fluency in data manipulation (SQL, Spark, Pandas) and Machine Learning tools
- Strong analytical skills and problem-solving ability
- Strong communicator who can collaborate with diverse stakeholders across all levels
Nice to have
- 1-2 years of industry experience using machine learning to solve real-world problems with large datasets
- Knowledge of sequential modeling, Transformer architecture and Foundation Model
- Familiarity with LLM integrations, agentic workflow and productivity tooling
- Experience in building large scale online recommendation systems
What you get
- Highly market-competitive compensation and benefits
- Eligible for a new hire equity grant and annual refresh grants
Worth weighing
- Base pay range provided only for Canadian candidates
- Remote work limited to specific provinces (Ontario, Alberta, British Columbia, Nova Scotia)
- Flex First remote work policy may imply varying work environments
Summarised from Instacart's posting. Read the full original.
Listed by Instacart on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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