Bright Pattern makes software that helps businesses communicate with their customers in a more enjoyable and efficient way over phone, SMS, email, web chat, video and a number of messaging apps such as WhatApp, Telegram, Facebook Messenger. We help businesses to organize work, automate frequent responses and stay in context of the customer inquiries from contact to contact, irrespective of the contact channel.
Our software is provided over the Internet as a service. We handle millions of our customers' conversations daily across the globe.
The platform leverages AI-powered tools for automation, predictive routing, and analytics, helping businesses improve efficiency and customer satisfaction, while driving the costs down. Known for its simplicity and quick deployment, Bright Pattern is ideal for organizations looking to streamline customer interactions and optimize customer service performance across industries like retail, healthcare, and finance.
Job Requirements:
- Practical experience of building high performance server-side applications working in high load 24x7 environments
- In depth level of Python knowledge and expertise.
- Strong Knowledge of other programming languages such as C++ and Go.
- Familiarity with the modern ML stacks (at least some of those mentioned), including PyTorch, ONNX, PyTest, and OpenVINO.
- Proficiency in English language (both verbal and written)
Nice to have:
- Mathematical analysis, linear algebra, mathematical statistics, probability theory, dynamic programming, and numerical methods.
- Experience working as data scientist - experience of practical application of statistical methods and identification of trends/patterns on real world data
- Understanding of machine learning algorithms related to speech analysis, including their design, underlying principles, and how to customize them for specific problems.
- Understanding of speech processing theory and voice physics.
- Experience with audio libraries such as Librosa, TorchAudio, and FFmpeg.
- Understanding of vector search, possibly experience with FAISS or similar
- Some knowledge of well-known ASR libraries and systems, such as Kaldi, NVIDIA Nemo, ESPnet, Whisper, and Vosk.
Responsibilities:
- Developing, maintaining, improving cloud services utilizing ML models with the focus on performance, stability, continuous availability of the services
- Research and evaluation of quality, performance and evolution of competitive and open source models
- Fine tuning and training the models for the needs of specific markets/applications
- Focus on applied machine learning rather than fundamental research.
- This project is just the beginning, as there are many more leading edge projects and activities starting or waiting to be started
What we offer:
- Possibility of relocation to California on an L1 or H1B visa.
- Participation in the development of a complex, high-load product with real users.
- Flexible schedule, remote work.
- Opportunity to work with a high-level engineering team that offers valuable learning experiences.
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