ElevenLabs is transforming human-technology interaction with AI research and products.
ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
ElevenAPI gives developers access to our leading AI audio foundational models.
These platforms are powered by our leading AI research. We developed the first human-like AI voice model, then expanded into dubbing, transcription, music, sound effects, and speech-to-speech.
We serve millions of users and thousands of businesses from the fastest growing startups to the largest enterprises like Harvey, Deutsche Telekom and Meta.
Rating Reviews
Rating is calculated based on
4
reviews and is evolving.
Pros: This place has some seriously smart people. As a Software Engineer, I've learned tons working with our talented remote team on cutting-edge generative AI projects. The mission is exciting, and everyone's really committed.
Cons: It's a startup environment, so things move super fast. That means long hours can happen, and sometimes it's tough to keep up with all the changes. The rapid growth can make communication a bit tricky.
Advice to Management: Keep investing in tools and processes to support remote work culture and prevent burnout. Acknowledge and reward the extra effort, maybe offer more dedicated wellness initiatives.
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Pros: The remote work policy is a big win for Machine Learning Engineers. I could mostly set my own schedule. This helped a lot with work-life balance at a fast-growing AI startup.
Cons: Sometimes, late meetings pop up due to global team members. Even with flexible hours, the pace is intense for critical voice AI projects. It can feel less flexible when deadlines are tight.
Advice to Management: Keep pushing for asynchronous work. Maybe explore dedicated focus blocks for different time zones. It'll make the flexibility even stronger.
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Pros: Working with cutting-edge AI voice synthesis tech is a big plus for a Machine Learning Engineer. I've learned a ton about scaling models and real-time processing. The team is smart. You're always challenged by complex problems, which is great for skill development in this startup environment.
Cons: Career paths aren't super clear here for engineering roles. It's hard to see how to move up as a Machine Learning Engineer sometimes. There isn't much formal mentorship or dedicated time for personal development plans.
Advice to Management: Invest more in defining clear career ladders and mentorship for individual contributors, especially for engineering roles.
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What is the typical work environment like at ElevenLabs, especially for engineers working in AI speech technology?
The culture at ElevenLabs is fast-paced and collaborative, with a strong emphasis on innovation in the AI speech technology sector. Engineers often work in cross-functional teams, contributing directly to product development and research.
What is the day-to-day working culture like at ElevenLabs, especially for engineers joining their fast-paced AI development team?
The culture at ElevenLabs is collaborative and driven, with a strong emphasis on innovation in AI speech synthesis. Engineers typically work in agile teams, focusing on rapid iteration and problem-solving to advance the company's cutting-edge technology. Expect a dynamic environment where individual contributions are valued within a supportive team structure.
What is the work culture like at ElevenLabs, especially for engineers working remotely?
ElevenLabs fosters a collaborative and fast-paced environment, common in AI startups. Remote engineers often find strong communication channels through tools like Slack and regular virtual stand-ups to stay connected and aligned on project goals.
Does ElevenLabs offer remote work options for software engineering roles in the US?
ElevenLabs supports remote work for many positions, including software engineering roles across the US. While some roles may require occasional in-office presence, the company generally embraces flexibility to accommodate distributed teams.
