Remote ML Engineer I — Growth & Personalization AI

Handshake; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Ownership

Financial Wellness

Family Support

Wellbeing

Growth

Remote & Office

Time Off

Connection

Job summary

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we pursue innovative, responsible AI-powered solutions that guide students from aspirations to meaningful opportunities.

You’ll build, deploy, and optimize ML systems using embedding-based retrieval, Graph Neural Networks, and rankers on a robust data platform with billions of data points, driving marketplace metrics and responsible AI practices.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 3 years of experience in machine learning, data science, or a related area.
• Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow.
• Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation.

Responsibilities

• Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers.
• Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.
• Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.

Skills

Python

ML frameworks

Core ML concepts

Collaboration

Education

Bachelor’s degree in Computer Science

Data Science related field

Tools

scikit-learn

PyTorch

TensorFlow

Job description

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we pursue innovative, responsible AI-powered solutions that guide students from aspirations to meaningful opportunities.

You’ll build, deploy, and optimize ML systems using embedding-based retrieval, Graph Neural Networks, and rankers on a robust data platform with billions of data points, driving marketplace metrics and responsible AI practices.