At a Glance
- Tasks: Design and implement next-gen sensor data processing and ML models for sustainable agriculture.
- Company: Biofonic, a leader in acoustic signal processing and conservation research.
- Benefits: Competitive salary, collaborative team environment, and impactful work.
- Other info: Work in London with a multidisciplinary team of experts.
- Why this job: Join a passionate team to drive innovation in sustainability and conservation.
- Qualifications: 3+ years in signal processing, strong Python skills, and model deployment experience.
The predicted salary is between 63000 - 77000 £ per year.
Biofonic is seeking a Data + ML Engineer with a focus on acoustic signal processing to design and implement next‑generation sensor data processing and ML models in London. You will work with a small, multidisciplinary team including founders, hardware engineers, and academic advisors to accelerate sustainable agriculture and conservation research.
Ideal candidates have:
- 3+ years in signal processing and ML engineering
- Strong Python expertise
- Experience deploying models in production
Acoustic ML Engineer & Researcher | Equity Options employer: Biofonic
At Biofonic, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of London. Our team enjoys a range of benefits including professional development opportunities, a commitment to sustainability, and the chance to work alongside experts in hardware engineering and academia, all while contributing to meaningful projects that advance conservation and agriculture. Join us to be part of a dynamic environment where your skills in acoustic signal processing and machine learning can truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Acoustic ML Engineer & Researcher | Equity Options
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We think you need these skills to ace Acoustic ML Engineer & Researcher | Equity Options
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 Biofonic. 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!
How to prepare for a job interview at Biofonic
✨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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✨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.
