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Machine Learning Engineer Intern / Contract - FULLY REMOTE About The Job Snickerdoodle Labs is empowering individuals...

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Machine Learning Engineer Intern Contract

Snickerdoodle Labs CA San Jose, California, United States

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$62k · Senior Full-time Posted over 3 years ago 3 min read

Machine Learning Engineer Intern / Contract - FULLY REMOTE

About The Job

Snickerdoodle Labs is empowering individuals through self-custody of their data. User data ownership provides privacy and security for individuals and lowers the burden of compliance with privacy regulations (GDPR and CCPA). We seek a highly analytical impact-oriented Machine Learning Engineer Intern to join our Data Science team. The role will serve as a core member within the team, focused on applying artificial intelligence (AI) to solve real business problems and analytics to drive insights from the user interactions on the platform to guide data-driven product development and business decisions. The intern will work cross-functionally between various teams at Snickerdoodle Labs.

What Makes Snickerdoodle Labs Special?

We are not just a highly ambitious technology company with a soul. Fundamental to our mission to help protect individuals’ privacy is providing personalized and safe access to the third web (web3). We enable companies to access the same familiar web2 analytics and insights while individuals remain in control of their data. Companies can only access individuals’ data after obtaining user permission and in exchange for compensation rewards. The rewards can be monetary or non-monetary. Offerings of digital assets and exclusive access to events are examples of non-monetary rewards.

Digital Asset Recommendation System

With the permission of users, we train collaborative recommendation systems federally. The recommender systems can predict users’ interest in a new digital asset using their previous digital asset acquisitions and their demographic data.

Personalized Compensation Rewards

Using federated learning, we develop a machine learning model that estimates a user’s interest in compensation rewards using their past behavior.

Scam Filter

Our scam filter keeps our users safe and protects them from getting scammed on malicious impersonating websites using historical data and natural language processing.

You ideally have:

2+ years as a Ph.D. student in machine learning, natural language processing, or another field applying AI techniques with publications in top-tier journals and conferences

Strong knowledge of modern machine learning techniques

Experience with standard machine learning packages and tools, e.g., Scikit-learn, Pytorch, etc.

Strong communication and interpersonal skills

Experience in developing recommendation systems and federated learning is a bonus

What you can expect from us:

Learn how to design solutions to address real business problems

You will learn to develop and evaluate AI models, deploy models into production, monitor their performance, and retrain them as necessary

Get hands-on experience with cloud computing technologies

Collaborate in a multidisciplinary start-up culture with a close-knit, all-star team

Pay ranges from $26-$30/hr depending on experience

Access to a computer and additional necessary equipment

Gain a deep understanding of the web3 industry

Interview Process

[15 min] Initial phone screen

[2 days] Take-home programming challenge

In-depth interview stages:

[20 min] Technical machine learning interview

[20 min] Technical programming interview

[20 min] Cultural/Behavioral interview

[30 min] Executive Review: Debrief with the Co-Founders

We check references and make you an offer

Ready to apply? You'll go straight to the hiring team.

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