Inactive
H

Handshake

Connects talent with jobs and AI training work

Machine Learning Engineer 1 - Growth Relevance

Applied Machine LearningPosted on Jun 16
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Data Science, or a related field is required.
  • Three years of experience in machine learning, data science, or a related area is required.
  • Proficiency in Python and hands-on experience with frameworks such as scikit-learn, PyTorch, or TensorFlow are required.
  • A strong foundation in core machine learning concepts, including classification, regression, ranking, and model evaluation, is required.

Responsibilities

  • Develop and iterate on machine learning models and features that influence user experience across lifecycle, notifications, and monetization, with guidance from senior engineers.
  • Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.
  • Develop technical depth by working alongside experienced machine learning practitioners and applying best practices in model development, experimentation, and production deployment.

Desired Qualifications

  • A Master's degree or current enrollment in an advanced degree program in a relevant field.
  • Exposure to recommendations, personalization, natural language processing, deep learning, large language models, or explainable artificial intelligence.
  • Familiarity with the machine learning lifecycle, including experiment tracking, model monitoring, and feature pipelines.
  • Experience with cloud platforms such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
  • Ability to translate technical work for diverse audiences.
  • Experience working cross-functionally with product, analytics, and engineering teams.

About the Company

Handshake

Connects talent with jobs and AI training work

Handshake connects job seekers, employers, and university career centers through recruiting software, and supplies AI labs with experts who train and test language models. Its career platform combines job matching, recruiting events, and profiles that show completed AI projects and paid training experience. Handshake AI recruits and matches fellows to projects where they review model answers, create training data, and apply knowledge from their own fields. Employers pay for recruiting subscriptions and promotions, while its enterprise AI team builds agents and trains models inside customers' systems. Handshake was founded in 2014 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series F
Total funding
$434M
Headquarters
San Francisco, CA
Founded
2014

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