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Senior Machine Learning Engineer II, Ads Response Prediction

3 months, 3 weeks ago
United States
Full-time
Senior
Machine Learning Engineer
Data Science and Analytics
Apache Spark dbt LLM Pandas Python PyTorch SQL TensorFlow
Apply Now
instacart.careers

instacart.careers

Instacart is a leading grocery technology company in North America that works with grocers and retailers to transform how people shop. They partner with over 1,000 national, regional, and local retail banners to facilitate online shopping, delivery, an...

Internet Software & Services
1K-5K
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Description

  • Lead research and development of pCTR and conversion prediction models for Instacart’s ads surfaces.
  • Design and implement debiasing and calibration methods to reduce selection bias, position bias, and optimizer’s curse in training data.
  • Contribute to the next-generation Multi-Domain Multi-Task model architecture using techniques such as Mixture-of-Experts, transformer layers, and LoRA adaptors.
  • Drive sequence modeling initiatives, including TIGER generative retrieval and Semantic ID representation learning, across ads placements.
  • Collaborate with broader ML teams on foundation model approaches for autoregressive user behavior prediction.
  • Formulate ambiguous modeling problems from first principles and turn business observations into clear ML research directions with evaluation criteria.
  • Publish and present findings internally through design reviews, paper sharing, and experiment retrospectives.
  • Own modeling quality improvements across relevance, ranking, calibration, and multi-task learning for ads prediction systems.

Requirements

  • PhD or Master’s degree in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field.
  • 6+ years of combined academic and industry experience, including PhD research, applying ML to ranking, recommendation, or prediction problems at scale.
  • Deep understanding of CTR and conversion prediction modeling, including Deep & Wide, DeepFM, DCN, and multi-task learning formulations.
  • Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation.
  • Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Fluency with SQL, Spark, and Pandas for data manipulation.
  • Track record of turning ambiguous problems into well-scoped ML research directions and delivering results through rigorous experimentation.
  • Strong written and verbal communication skills for explaining modeling decisions to cross-functional stakeholders.
  • Experience in ads ranking or auction-based systems, such as pCTR, bid optimization, ROAS feedback loops, or marketplace dynamics, is preferred.
  • Hands-on experience with autoregressive sequence models, generative retrieval, or transformer-based ranking architectures is preferred.
  • Familiarity with Semantic IDs, product embeddings, or similar approaches to reducing feature cardinality and cold-start challenges is preferred.
  • Experience with transfer learning or domain adaptation techniques such as LoRA or adapter-based fine-tuning is preferred.
  • Publication record in top-tier venues such as KDD, WWW, RecSys, NeurIPS, ICML, or SIGIR is preferred.
  • Experience mentoring junior engineers or shaping technical direction for a modeling team is preferred.
  • Familiarity with LLM-driven recommendation approaches, prompt-based personalization, or AI-assisted model development is preferred.

Benefits

  • Flexible remote-first work environment through Instacart’s Flex First policy.
  • Market-competitive compensation based on work location.
  • Eligible for a new hire equity grant.
  • Eligible for annual refresh equity grants.
  • Base salary range from $201,000 to $253,500 USD depending on location.
  • Regular in-person events to stay connected and build community.

Interested in this position?

Apply directly on the company website

Apply Now

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