Cartesia
Engineering Manager, Data
*HQ - San Francisco, CA
Sponsorship not specifiedDetected 1 day ago
DatabricksSystems EngineeringResearch
About the role
- At Cartesia, the quality of our models is inseparable from the quality of our data.
- Data infrastructure - web-scale processing and storage that keeps petabytes of multimodal data flowing reliably to the teams that depend on it.
- Data-centric modeling - training and evaluating models to understand what actually makes data good, and turning those insights into better datasets.
Responsibilities
- Lead and grow a high-caliber team of data infrastructure engineers and data-focused researchers, splitting focus between shared infra and dedicated modeling teams.
- Drive the creation of SOTA multimodal pre-training datasets - including the annotation models and curation strategies that determine what our models learn.
- Partner closely with our modeling and research teams to make sure data work translates directly into better models.
- Hire, mentor, and develop engineers and researchers as the team scales from a handful of people to a full organization.
- Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
- We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others.
- We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
- ๐ฆ Your own personal Yoshi
Requirements
- A track record of building and leading data efforts, ideally in the context of a modeling project.
- Experience building data for a generative modeling organization.
- Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
- ๐ข In-office policy: We're an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
- ๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
- ๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don't sacrifice quality or design along the way.
- ๐ค We support each other. We have an open & inclusive culture that's focused on giving everyone the resources they need to succeed.
Nice to have
- Proven management experience, including directly leading a data team of at least 6 people.
- Hands-on familiarity with data infrastructure at scale - processing, storage, and the systems that make large-scale data usable.
- Previous modeling experience
- Familiarity with multimodal data (audio, speech, and beyond).
Compensation
- ๐ฐ Compensation Competitive base salary alongside attractive equity package.
Benefits
- ๐ฐ Compensation Competitive base salary alongside attractive equity package.
- ๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
- ๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
- ๐ Commuter Allowance A monthly stipend to help you get to and from the office.
- ๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
- We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Company info
- Our mission is to architect AI that learns from and interacts with the world like humans do.
- As we push the frontier of real-time multimodal AI, we're looking for a leader to own the systems, datasets, and research that make our training data exceptional.
Equal opportunity
- equal opportunity employer.
Visa & Work Authorization
- We provide visa sponsorship support and assess each circumstance on a case-by-case basis.
- However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success.
- Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
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This listing is sourced directly from Cartesia's careers page and normalized into a canonical job model.