Senior Machine Learning Engineer - Data

About Cantina

Cantina, founded by Sean Parker, is a pioneering social platform featuring the most advanced AI character creator. Our platform allows users to build, share, and interact with AI bots and friends directly within Cantina or across the internet. These bots are lifelike, social creatures capable of interacting wherever humans go online. Whether recreating yourself using powerful AI, imagining someone new, or choosing from thousands of existing characters, Cantina offers a new media type for creators to share infinitely scalable and personalized content experiences, combined with seamless group chat across voice, video, and text.

About the Role

As a Senior Machine Learning Engineer on the Data team, you will focus on two key areas: large-scale data collection and refined dataset creation. You will expertly manage diverse data sources, build robust infrastructure for petabyte-scale data handling, and craft comprehensive training datasets through experimentation and evaluation. This role is central to our AI development process, requiring meticulous attention to detail and the ability to make impactful design decisions.

Responsibilities

Identify and collect data at scale for different types of speech models.
Work with large amounts of audio data and different types of speech models, including automatic speech recognition, speaker diarization, and audio classifiers.
Design and implement robust infrastructure for efficient petabyte-scale data collection, processing, and streaming across multiple clouds.
Develop ETL tools for managing vast amounts of data.
Develop innovative solutions for data-related issues in AI model training and implement rigorous data validation processes.
Ensure data integrity and relevance throughout the pipeline.
Stay updated with the latest state-of-the-art audio models for speech processing, such as pyannote, parakeet, and whisper.
Contribute to Cantina’s open-source ML projects and associated communities.

Qualifications

5+ years of experience in data platform engineering or a relevant field.
Experience building large-scale data processing pipelines with tools like PySpark, Beam, or Flink.
Familiarity with Machine Learning and NLP, with a willingness to learn more on the job.
Proven track record of adapting to new domains and a desire to use data to improve products.
Experience as an ML engineer, Data Scientist, or in a similar role.
Experience with cloud platforms like AWS or Azure, or tools such as Kubernetes and Terraform.
Passionate about Conversational AI or large language models.

Location

We have offices located in Sunnyvale, CA, San Francisco, CA, and Brooklyn, NY. While we focus on individuals near our office hubs, we offer fully remote and hybrid employment opportunities.

Compensation

In compliance with Pay Transparency Laws, the base salary range for this role is between $175,000 - $250,000 for those located in the San Francisco Bay Area, New York City, and Seattle, WA. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.