At a Glance
- Tasks: Develop groundbreaking speech technology for underserved languages and accents.
- Company: Join AethexAI Inc, a dynamic London-based startup with a mission to innovate voice AI.
- Benefits: Competitive salary, equity options, and the chance to shape the future of voice communication.
- Other info: Be part of a scrappy team, owning the full ML stack and driving innovation.
- Why this job: Make a real impact on billions of users while working in a high-growth environment.
- Qualifications: 4+ years in ML with expertise in speech and low-latency systems.
The predicted salary is between 80000 - 100000 £ per year.
AethexAI Inc is a London-based pre-seed startup that has raised ~$3M to build proprietary voice AI infrastructure for underserved global markets and languages that big tech overlooks.
Join AethexAI Inc to build foundational speech technology for billions of users in emerging markets. You will own the entire ML lifecycle, from researching novel architectures to deploying low-latency models on AWS. This is a hands-on, founding-level role for a scrappy builder ready to define the future of global voice communication.
Location: London, UK
Why this role is remarkable:
- Build foundational speech models from scratch for languages and accents that big tech overlooks, impacting billions of users in Africa, the Middle East, and beyond.
- Join a high-growth, ~$3M pre-seed team in London already processing 17,000+ daily calls with sub-500ms latency on proprietary, non-fine-tuned infrastructure.
- Secure meaningful founding-team equity and take complete ownership of the full ML stack, mirroring the trajectory of early engineers at companies like ElevenLabs.
What You Will Do:
- Research and develop novel speech model architectures, moving beyond simple fine-tuning to build proprietary ASR and TTS solutions for underserved markets.
- Design and manage high-scale inference pipelines on Kubernetes and AWS, ensuring mission-critical reliability and sub-500ms latency for global voice applications.
- Work directly with the founding team to ship new features into production weekly, impacting real-world users immediately after model training.
The ideal candidate:
- Has 4+ years of experience shipping production-grade ML models, with specific depth in speech, audio, or low-latency inference systems.
- Possesses strong MLOps skills, including hands-on experience deploying to Kubernetes on AWS and maintaining high-availability production environments.
- Holds an advanced degree from a top CS/ML program and thrives in a scrappy, in-person London environment where they own technical outcomes end-to-end.
Voice AI ML Engineer (£80k-£100k + Equity) at AethexAI Inc employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Voice AI ML Engineer (£80k-£100k + Equity) at AethexAI Inc
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We think you need these skills to ace Voice AI ML Engineer (£80k-£100k + Equity) at AethexAI Inc
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
