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Machine Learning Engineer

Prosum

on-siteseniorfixed-termbackenddata Seattle, WA 5 days ago via LinkedIn
246,800 - 246,800 USD/annual

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Tags

Machine LearningPythonPyTorchTensorFlowHugging FaceTransformersRetrieval-Augmented Generation (RAG)Deep LearningDigital AdvertisingAWS SageMaker

About the role

Role

Senior Machine Learning Engineer (Research)

  • Employment type: 24-month contract
  • Onsite: 4 days/week onsite (no remote) in Santa Monica, CA or Seattle, WA

Overview

Join an AI/ML research team building and evolving high-performance, distributed, microservice-based advertising platforms. You’ll apply state-of-the-art ML to improve ad decisioning, forecasting, targeting, pacing, pricing, experimentation, and overall ad experience at scale.

Responsibilities

  • Apply modern ML/AI techniques to advertising domains (forecasting, targeting, pacing, pricing, delivery optimization, and ad experience)
  • Design, prototype, and deploy novel ML solutions with rapid iteration
  • Architect and scale production-ready ML systems for core platform capabilities
  • Drive engineering best practices for code quality, system design, testing, and operational reliability
  • Mentor junior engineers and promote technical excellence and continuous learning

Required Qualifications

  • Bachelor’s degree in Computer Science/related field (or equivalent practical experience)
  • 3+ years building and deploying large-scale ML systems
  • Strong foundation in machine learning, statistics, mathematics, and numerical optimization
  • Python proficiency (primary); working knowledge of Java and SQL
  • Solid understanding of algorithms and data structures
  • Experience with TensorFlow, PyTorch, and Hugging Face (Hugging Face libraries/models)
  • Hands-on deep learning with sequence-based / recurrent architectures
  • Experience with transformer models (BERT-like, GPT-like, vision transformers)
  • Knowledge of multimodal embeddings (text, image, audio, structured data)
  • Experience with large language models (GPT/Claude/Llama-style)
  • Familiarity with LLM evaluation and retrieval-augmented generation (RAG) architectures
  • Strong communication skills across technical and non-technical stakeholders

Nice to Have

  • Master’s or PhD in Computer Science or related field
  • Experience in digital advertising / video advertising / digital marketing platforms
  • Experience with Databricks and/or AWS SageMaker

About Prosum

Prosum is a digital advertising technology organization building large-scale advertising platforms. Its AI/ML research team focuses on advancing machine learning capabilities for advertising systems, including ad decisioning, forecasting, experimentation, and ad experience optimization.

Scraped 5/12/2026

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