Senior Machine Learning Engineer @ Fizz

What is Fizz

Fizz is a social app that allows students to connect with their campus. Each Fizz community has a private and moderated feed of anonymous posts, authored by verified students, providing the most entertaining, relatable, and interesting conversations about student life.

Students can post questions, memes, polls, and chat with other verified students while maintaining control over their identity and privacy. Fizz communities prioritize safety, authenticity, and inclusion through community-based moderation.

Founded by two Stanford dropouts, Fizz is currently expanding to colleges across the US with a mission to redefine the “social network” in a time when legacy platforms lack authenticity and are filled with curated highlight reels.

What we’ve done

We first launched Fizz at Stanford in July 2021 and have since seen >95% of undergraduates join the app, half of which use Fizz every day. Since then, we have raised over $41 million from NEA, Owl Ventures, and Lightspeed, built a rock-solid engineering team with decades of experience at top tech companies, and expanded Fizz to be the dominant community platform at 200+ colleges.

Where we’re going

Our near term goal is to expand to all US universities by the end of the 2023-2024 academic school year. To get there, we give engineers at Fizz a lot of autonomy and ownership of our product. Some of the things you can expect to work on include:

- Building and maintaining scalable human in the loop AI community moderation systems

- Utilizing NLP systems to automatically categorize and target content to users

- Conducting analysis on larger amounts of user-generated content and using data to drive product decisions

We are open to candidates of all experience levels who are passionate about being an early employee and want to help drive our company forward.

Responsibilities

Design and implement machine learning models and algorithms to solve specific user problems
Develop in-house human in the loop moderation systems to detect and prevent inappropriate content and behavior on our platform
Develop and maintain data pipelines and infrastructure to support machine learning workflows
Work closely with the front-end team to implement content moderation and content recommendation systems
Keep up-to-date with emerging trends and best practices in machine learning and AI development

Qualifications

Strong understanding of machine learning techniques and algorithms (natural language processing, generative AI, content recommendation)
Experience as a lead engineer for at least one large scale system that supports at least a million users using a distributed system.
Familiarity with designing RESTful APIs that are scalable, reliable, and secure
Strong grasp on product and ability to develop a product that college students will use and love.
Passion for building intelligent systems that can improve the user experience and safety of our platform

Bonus Points

Experience working with User-Generated Content or a Trust & Safety team.
Experience with TypeScript, Firebase, or Google Cloud Platform.

Fizz is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant, candidate, or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military or veteran status, genetic information or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances.

Responsibilities

Qualifications

Bonus Points

6 month growth

1 year growth

2 year growth

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