Engineer

Hello, this is Ammar, co-founder of Sahl AI, writing this job post. This is not a generic job posting done by a random HR person. We are building our founding engineering team, and I'd love to know if you're a good fit for our company.

You can read more about me and my co-founder here:

https://www.linkedin.com/in/ammar-khan-8089b01b/

https://www.linkedin.com/in/dr-umair-khan-phd-46367422/

Last year, I decided, with my brother, to leave all our secure and comfortable jobs to focus on our own startup.

Why take such a big risk with a family of three children

Because we wanted to make a difference. We want to make a dent in the universe.

So we raised money, built a product, partnered with hospitals and clinics that serve more than 10% of the Saudi population, and are now through this LinkedIn job post trying to find the right people to join us on this journey and take us to the next level.

If the story above resonates with you, then we want you to join us.

Are you interested in working in an environment where people genuinely care about your well-being and strive to bring out the best in you

A place where people torture you to become the best version of yourself (I may be joking about the torture part!).

We're looking for someone with a drive to make a real difference in the world.

Not someone who just wants to clock in and out, but someone who is inspired and believes they are meant for something bigger.

The traits we are looking for:

• Adaptable to the constant changes in a startup and able to pivot quickly
• You don't wait for someone to fix something broken; you take ownership and fix it yourself.
• Good communication skills with non-technical and technical people
• Resilience to face setbacks and there are a lot of setbacks in a startup!
• Love to take ownership of things and see them to completion

Are you that person

Sahl AI delivers industry-leading ambient medical documentation and data solutions to healthcare systems, physician practices, hospitals, and telemedicine practitioners across Saudi Arabia.

Sahl AI is on a mission to help clinicians and patients form a human connection by integrating our technology at the point of care. Our proprietary platform digitizes natural clinician-patient conversations, converting them into comprehensive medical notes and structured data in real time. Utilizing automatic speech recognition and natural language processing, including large language models, our platform generates accurate and timely medical notes that are transferred into the EHR. Our products relieve clinicians of administrative burdens, reducing burnout, increasing clinician efficiency, and improving patient access.

Headquartered in the UK with a subsidiary in Saudi Arabia, we partner with hospitals and primary care centers that serve more than 10% of the Saudi population.

We are seeking a skilled NLP Engineer with expertise in PyTorch to work on nlp tasks, i.e., speech recognition. The ideal candidate will focus on evaluating, fine-tuning, and improving model architectures, loss functions, and data loading pipelines to enhance speech recognition systems.

Key Responsibilities:

- Develop and fine-tune speech recognition models using PyTorch.

- Design and implement evaluation metrics for model performance.

- Optimize loss functions and architectures for improved accuracy.

- Create efficient, scalable data loaders for large speech datasets.

- Collaborate with research and development teams to improve model efficiency and deployment.

Qualifications:

- experience with PyTorch, NLP, and speech recognition.

- Familiarity with model evaluation techniques and metrics.

- Proficiency in optimizing loss functions and model architectures.

- Hands-on experience with dataloader implementation and tuning.

- Knowledge of ASR (Automatic Speech Recognition) systems is a plus.

Preferred Skills:

- Experience with transformer-based models.

- Knowledge of deep learning frameworks and best practices.

- Familiarity with large-scale dataset handling and parallel processing.

Please answer the following questions in your application:

1. Describe a specific project where you fine-tuned a speech recognition model or other NLP tasks. What challenges did you face, and how did you overcome them

2. Can you explain a situation where you had to optimize a custom loss function for a model What changes did you make, and what was the impact on the model's performance

3. Give an example of how you improved the efficiency of a PyTorch dataloader in a project. What specific techniques did you apply

4. Tell us about a time when you used evaluation metrics to assess the performance of an NLP task. What metrics did you use, and why did you choose them

5. Describe a challenge you faced when working with a large text, speech or audio dataset and how you handled it to ensure smooth model training.

6. Walk us through a specific case where you improved a model architecture for a natural language or speech-related task. What architectural changes did you make, and why

7 If you have different experiences or challenges you faced during NLP task improvement, please describe them.

Apply if you're passionate about advancing speech recognition technologies and enjoy working in a fast-paced, innovative environment!