Intern - ML Engineering

Scowtt IncKirkland, WA
20h$25 - $45Hybrid

About The Position

Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action—immediately. We’re growing fast, and onboarding new customers quickly and cleanly is core to our success. We are looking for a motivated and self-driven Rising Senior, interested and specializing in Machine Learning and Data Science to join our diverse team. In this Hybrid or remote role, you may get an opportunity to contribute to the development, deployment, and maintenance of high-quality software solutions. This is an excellent opportunity for someone eager to learn how to develop production grade ML Products in a collaborative, fast-paced environment where your unique background and ideas are valued.

Requirements

  • Rising Senior studying at undergrad or grad levels in a reputed university, specializing in Computer Science, ML, Data Science, or equivalent
  • Solid foundation in computer science (data structures, algorithms)
  • Familiarity with machine learning concepts and workflows
  • Strong Python skills
  • Exposure to ML frameworks through coursework, projects, or internships
  • Curiosity, ownership mindset, and eagerness to learn
  • Hands-on project or internship experience with real datasets
  • Exposure to cloud platforms (GCP or AWS)
  • Familiarity with tools like BigQuery, notebooks, or basic data pipelines

Nice To Haves

  • Exposure to cloud platforms (GCP or AWS)
  • Lambda, Amplify, SQS, DynamoDB, PostgreSQL
  • Familiarity with tools like BigQuery, notebooks, or basic data pipelines
  • Familiarity with the AI Agent development

Responsibilities

  • Assist in training, evaluating, and deploying ML models
  • Work with structured and behavioral data used in marketing and sales systems
  • Help automate and maintain data and ML pipelines
  • Collaborate with engineers to integrate ML models into AI agents
  • Debug, optimize, and improve model and pipeline performance
  • Learn how ML systems operate in real production environments (cloud, monitoring, iteration)
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