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Formal position title: Backend/Full Stack SWE (Remote)Who we are: Intron provides clinical speech recognition for 240 accents spoken in developing countries starting with Africa, providing up to 7x documentation speed up, and saving overworked doctors 3hrs per day so they can focus better on patient care. We integrate this speech-to-text technology into our EMR, further cutting over 60% administrative paperwork, improving operational efficiency, and enabling real-time disease surveillance.Employment type: A full-time employee that believes in our mission and is willing to grow with the pensation, Benefits, and Salary range: Salary is based on experience, qualifications, and cultural fit. You'll get stock options and benefits like health insurance, and wellness allowance. The role will offer flexible work hours, occasional catered lunches, flexible work-from-home days, and flexible paid time off/vacation. The role is remote except where on-site support is needed.Salary range:Junior: NGN2,400,000 (~$2,000) to NGN3,600,000 (~$3,000) per annumMid: NGN4,800,000 (~$4,000) to NGN9,600,000 (~$8,000) per annumSenior: NGN9,000,000 (~$8,000) to NGN60,000,000 (~$60,000) per annumWho You Are: You will have exposure/experience with most of the following:Basics3+ yrs with Python2+ yrs building with any of the relational databases (Postgresql or MySql)Github, Code Reviews, and version controlAlgorithms and data structuresWriting tests: unit tests, integration tests, smoke testsB.S. or higher in Computer Science or related field is a plus but not requiredFrontend (Optional)2+ yrs with Python's web application Frameworks (Flask or Django)Experience with React or other frontend frameworks is a plusExperience developing for mobile platforms is a plus but not requiredAmazon Web Services (EC2/Elastic Beanstalk/ ECS/ RDS/ Lambda/ Cloudwatch)ORM technologies (like SQLAlchemy)database migration (with tools like Alembic or Flyway)Experience with Docker, Kubernetes is a plusML (a plus but not required)Experience deploying machine learning models is a plus but not requiredExperience working with audio is a plus but not requiredExperience with ML frameworks like Pytorch is a plus but not requiredExperience with NLP libraries like Huggingface transformers, NVIDIA NeMo, Fairseq, Gensim, Spacy, etc is a plus but not requiredWe are looking for people who are:Personable and Fun: You are great to work and talk withCustomer-focused: You are passionate about creating web applications that improve the lives of millions of users and enjoy building delightful user munication and collaboration: You are able to work effectively with others. You will be working closely with other engineers, designers, product managers, user experience researchers, and customer groups to build features and high-quality products.Nimble: Balancing short-term execution with longer-term concerns, can pivot when necessaryFlexibility and Creativity: You can take wireframes or partially formed mockups from a product team and implement microservices, data models, and UI components that can scaleOwnership: You have demonstrated feature development ownership and can take initiative and responsibility for building shipping, and maintaining core features, end to end.How to apply: Please fill out the application form and upload your resume by clicking the "Apply" button below.Your resume should be in reverse chronological order showing your most recent experience/projects first. Under each experience, kindly provide 3 to 4 bullet points describing interesting problems you solved, achievements, or important lessons learned on the job. The Education/Academic qualification section should follow. Next, the achievements/awards section could follow. Lastly, include any other information you think may be RELEVANT to the role.Tobi Olatunji is a physician turned Machine Learning Scientist with a passion for Global Health.Tobi's journey to starting Intron is nothing short of epic. He's worked with big names like AWS Health AI, Enlitic Inc., and Cambia Health Solutions building intelligent Natural Language processing tools for large health systems in Australia, Brazil, Canada, Japan, UK, and the US. He's on the Advisory Board at Harvard's OpenNotes Lab, pushing for responsible AI in healthcare. His research spans accented speech recognition, algorithmic bias, and more, with publications in top machine learning conferences like NeurIPS, EACL, Interspeech, and EMNLP.With a mix of medical and tech degrees, including an MBBS, an MSc in Medical Informatics, and MSc in Computer Science at Georgia Tech, a certificate in Healthcare Management from Yale School of Management, plus three US tech patents, Tobi is a true innovator. He's also a key member of the Commonwealth AI Consortium and the Research Director at Bio-RAMP Labs.Google Research, Gates Foundation, and Intron collaboration: linkCommonwealth Partnership Announcement: link and linkHarvard+BIDMC OpenNotes Advisory Board: linkHarvard Radcliffe Consortium on scaling Digital Health Innovations in Africa: linkCool research papers coming out of our lab:AfriSpeech [MITPress 2023]: our pan-African clinical speech dataset with benchmarksAfriNames [Interspeech 2023]: most ASR models butcher African namesAccentFolds [EACL 2024]: models can learn African cultural and geopolitical relationships from speech dataASR on Medical Entities [Interspeech 2024]: models can work great on non-medical speech but perform worse on medical termsAfroTTS [Interspeech 2024]: A 1000 African Voices; generating English speech in nearly 1000 African accentsAfriMed-QA [ACL 2025*]: the largest study on LLMs in African healthcareBest-in-class speech recognition and text-to-speech models with audio intelligence, making voice the user interface of the future #J-18808-Ljbffr