Senior Machine Learning Engineer

What you'll do

• Build production-ready ML solutions from concept through deployment and improve ML infrastructure and tooling.
• Collaborate across teams to develop and implement algorithms and testing workflows.
• Mentor junior machine-learning engineers and stay current with advances in ML and software engineering.

What they ask for

• Bachelor’s degree in Computer Science, Statistics, or Mathematics, with equivalent experience.
• 5+ years of related experience building high-throughput scalable applications or machine-learning models.
• Proficiency in one or more object-oriented languages such as Python, Java, or C++; experience building distributed systems.
• Experience building data-processing pipelines and large-scale ML systems using big-data technologies such as Spark, SQL, Snowflake/Hadoop.

Nice to have

• PhD or graduate degree with research or work experience using data-science techniques.
• Experience in recommender systems, personalization, search, computational advertising, NLP, RAG-based Generative AI, transformer architecture, or applied deep-learning methods.

Pay

$184,700 and $324,800 (base salary); $165,800 and $292,400 (base salary)

Tools

Python, Java, C++, Spark, SQL, Snowflake/Hadoop, TensorFlow, Keras, PyTorch

AI focus

Researches and develops machine-learning algorithms for product search, recommendations, personalization, and Generative AI, including RAG-based applications and transformer architecture.