Murf AI - Applied Research Scientist - Deep Learning Models (3-5 yrs)

At Murf AI, we're simplifying multimedia creation by harnessing the power of artificial intelligence.

Our platform empowers users to craft high-quality voiceovers effortlessly, without the need for recording equipment.

Some interesting facts about Murf AI :

- Customers in 100+ countries.

- 1Mn+ registered users.

- 6X growth in revenue in last 12 months.

- 120+ voices in 20+ languages offered by Murf Studio.

We've been consistently rated a Leader and Momentum Leader on G2 in the text-to-speech category in 2023 and 2022.

We are working on bleeding-edge research problems, in synthetic speech, synthetic video and dubbing.

Job Summary :

As a Research Scientist at Murf, your job is to design, implement, train, benchmark and deploy deep learning models to create innovative solutions for our users.

You should be able to implement industry research papers as well as come up with proprietary research in the generative media domain, specifically speech synthesis.

Ideal candidate will hold a Ph. in AI or Computer Science or Electrical Engineering with a specialization in Audio, Speech, Signal Processing, or related fields with 3+ years of additional relevant work experience.

Roles & Responsibilities :

- Designing and developing new algorithms for media synthesis, speech recognition, speech enhancement, filler word detection, etc.

- Write performant and clean code for ML training.

- Independently run and analyze ML experiments to diagnose problems and understand which changes are real improvements.

- Write clean non-ML code, for example when building interfaces to let workers interact with our models or pipelines for managing human data.

- Collaborate closely with a small team to balance the need for flexibility and iteration speed in research with the need for stability and reliability in a complex long-lived project.

- Understand our high-level research roadmap to help plan and prioritize future experiments.

- Creating realistic voice-doubles using only a few minutes of audio.

- Devising and implementing fast and robust algorithms for spectrogram inversion.

- Coming up with new research directions to improve our product.

Skills & Qualifications :

- Proven experience in implementing and iterating on deep learning algorithms.

- Publications at top ML/Speech conferences are a big plus : NeurIPS, ICML, ICLR, Interspeech, ICASSP etc. and/or leading Journals published by IEEE, ACM, Springer, Elsevier etc.

- Strong knowledge and experience of Python, PyTorch, Kaldi.

- Proven ability to conduct original research and first principles problem solving.

Benefits/Perks :

- Collaborative and stimulating work environment.

- Opportunity to work with cutting-edge technologies and make a significant impact in the field of generative audio AI.

- Insurance/healthcare coverage as per company policy.

- Leaves available as per company policy.

Why Murf.ai ?

Murf AI is revolutionizing creative workflows for businesses through the utilization of our cutting-edge AI technology.

Recognized as a consistent Leader and Momentum Leader on G2 in 2022 and 2023, we empower L&D and creative teams to evolve into dynamic creative powerhouses.

With a focus on cutting-edge research and innovation, a positive work culture, and real impact in the AI-driven space, Murf.ai is one of the fastest-growing companies in the AI voice space.

Join us at this pivotal moment, where your ideas matter, and your leadership can leave a lasting impact.

If you're ready for a challenge and have the vision to lead from the front, Murf.ai is where your journey into the next chapter of AI innovation begins.