At a Glance
- Tasks: Own the full ML lifecycle and build foundational speech technology for billions.
- Company: AethexAI Inc, a dynamic pre-seed startup in London.
- Benefits: Equity stake, collaborative environment, and opportunity to shape global impact.
- Other info: Join a small, high-growth team and make a real difference.
- Why this job: Lead innovative projects that empower users in emerging markets.
- Qualifications: 4+ years of experience in production-grade ML models and advanced CS/ML degree.
The predicted salary is between 80000 - 100000 £ per year.
Aethex AI Inc, a London-based pre-seed startup, is seeking a Voice AI ML Engineer to own the full ML lifecycle from research to deployment on AWS.
You will build foundational speech technology for billions of users in emerging markets and lead end-to-end ML outcomes in a founding team setting.
You should have 4+ years shipping production-grade ML models and hold an advanced CS/ML degree.
The role is in-person in London with equity stake available and collaboration across a small, high-growth team.
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Founding Voice AI ML Engineer — Equity & Global Impact 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.
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We think this is how you could land Founding Voice AI ML Engineer — Equity & Global Impact
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We think you need these skills to ace Founding Voice AI ML Engineer — Equity & Global Impact
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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.
