📍 Ереван (Армения)Полная удалёнка
Специализация
Data Science / Machine Learning
Krisp is an application that saves interlocutors from extraneous noise during a call. Now they are looking for a creative Senior ML Engineer to join the rapidly growing research team at Krisp. You will join the newly forming ASR team and will work on machine learning systems for ASR (Automatic Speech Recognition). As a Senior ML Engineer, you will be involved in research and implementation of ML algorithms and tools for ASR systems starting from data collection process to model
tests and fine-tuning.
Time zone
(GMT+04:00) Yerevan.
Line manager
Engineering Manager, ML.
Why we are recommending
- The startup entered the TOP 20 global startups according to Forbes.
- The team includes developers from Google, Zapier, Salesforce, Hubspot and other cool companies.
Responsibilities
- Design machine learning systems for ASR (Automatic Speech Recognition).
- Research and implement appropriate ML algorithms and tools.
- Research, find and use appropriate datasets and data representation methods.
- Run machine learning tests and experiments, look at test cases and advise QA
on adjacent code and regression impact. Own the technical testing and
performance plan.
- Own and lead security, performance, availability and scalability aspects of the
project.
- Fine-tune models based on test results and user feedback, train and retrain
systems when necessary.
- Be on top of industry trends, research and propose new technologies.
- Communicate technical decisions through design docs and tech talks.
- Mentor junior engineers via pairing, design review, and code review.
- Understand the tradeoffs between technical, analytical and product needs and
lead to solutions that take all of these needs into account.
Requirements
- BSc or MSc in Computer Science, Mathematics or similar field.
- Proven experience as a Machine Learning Engineer or similar role.
- Understanding of training data structures, data modeling and software
architecture.
- Deep knowledge of math, probability, statistics and algorithms.
- Ability to write robust code in Python.
- Familiarity with machine learning frameworks (like TensorFlow, Keras or
PyTorch) and libraries.
- Excellent communication skills.
- Ability to work in a team.
- Analytical and problem-solving skills.
- Familiarity with Automatic speech recognition algorithms is a big plus.
- Familiarity with voice and digital signal processing is a plus.
- Familiarity with NLP algorithms is a plus.
Company offers
Remote position with the possibility of moving to Yerevan and with salary in USD.
Hiring process
- Screening interview.
- ML interview with tasks in progress.
- Final interview with the development director (ML).
Useful links
- Product presentation: link.
- Article on BBC: link.
- Article on TechCrunch: link.
- Article on Entrepreneur: link.
