Sr. Machine Learning Engineer

pinterestjobadvertisements; United States; Hybrid; USD 250,000 - 332,000; Full time

Benefits offered by this job

Partial telecommuting within commuting

Job summary

pinterestjobadvertisements seeks an experienced ML engineer to build and improve systems across feeds, search, shopping, advertising, and growth. You will work with experiments, retrieval, and recommendation methods in production engineering, including potential use of large language models for content understanding.

Collaborate with cross-functional teams to implement scalable ML solutions, run A/B tests, and stay updated on advances in recommender, search, and information retrieval.

Qualifications

• Master's degree in EE, CS or related field with at least 3 years of experience.
• 3+ years of production experience using C++, Python, Java and SQL.
• Experience with distributed relational databases or storage, LLMs, and ANN search.
• Experience with recommender, search, or advertising systems and information retrieval.
• Experience with Spark, Airflow, Kubernetes, PyTorch, and A/B testing.

Responsibilities

• Develop ML and DL approaches for product surfaces.
• Experiment with data-driven methods to improve retrieval and relevance.
• Apply large language models to content understanding problems.
• Build and support production ML services and data workflows.
• Conduct experiments and A/B tests to measure outcomes.
• Track advances in recommendation systems and apply to work.

Skills

C++

Python

Java

SQL

Education

Master's degree in electrical engineering, computer science, or related field

Tools

Spark

Airflow

Kubernetes

PyTorch

Job description

Role overview

Build and improve machine learning systems that help people discover relevant content across product experiences such as feeds, search, shopping, advertising, and growth. The work combines experimentation, retrieval and recommendation methods, and production engineering, with opportunities to use large language models for better content understanding. Engineers partner across teams to evaluate ideas quickly and bring effective changes into products.

Responsibilities

• Develop machine learning and deep learning approaches for a range of product surfaces.
• Experiment with models and data driven methods to improve candidate retrieval and content relevance.
• Apply large language models to content understanding problems.
• Build, analyze, and support production services and data workflows for machine learning systems.
• Use experiments, including A/B tests, to measure outcomes and guide product launches.
• Track developments in recommendation systems and apply relevant advances to the work.

Requirements

• A master's degree in electrical engineering, computer science, or a related field, plus at least three years of relevant experience.
• Three years of experience with C++, Python, Java, and SQL for production services or data analysis.
• Experience with distributed relational databases or storage, large language models, and approximate nearest neighbor search.
• Experience with recommender, search, or advertising systems and information retrieval.
• Experience with Spark, Airflow, Kubernetes, PyTorch, and A/B testing.

Benefits and work setup

Partial telecommuting is available from within commuting distance. The listing states that relocation assistance is not available. Salary is listed as $249,600-$332,012 per year.