Position: Middle Machine Learning Engineer
Company: GUID, IT Talent Search
Category: Data Science
Experience required: 2y
English level: intermediate

ABOUT THE COMPANY

A startup that develops a product using AI, ML, NLP, and other cutting-edge technologies. Founded in 2019, with offices located in Ukraine and the USA. About 20 employees. The company focuses on the US enterprise market.

ABOUT THE PRODUCT

A SaaS platform that uses the latest technologies and proprietary Machine Learning algorithms to analyze meetings. The platform is capable of identifying problems, issues, and crucial topics, measuring positive and negative aspects of communication, and much more. The development is completed, and the product is in use. Watch the video review.

ADVANTAGES OF THE COMPANY

-Using the latest technologies, AI, Machine Learning.
-Non-trivial tasks. Freedom and responsibility for creating complex solutions in ML.
-Development in a friendly and open-minded team.
-The product is working in beta mode and already has its clients.
-The company is well-funded. Investors are current and former tech leaders of large American companies.
 
TECHNICAL STACK OF THE ML TEAM

TensorFlow,  PyTorch, spaCy, JupyterHub, Nvidia GPUs.
Agile is in use.

WHO WE ARE LOOKING FOR

Middle ML Engineer with 2+ years of commercial experience in ML development, with a deep understanding of ML principles and model development workflow, knowledge of NLP approaches, models, and libraries. A high level of English is required.

WHAT YOU ARE EXPECTED TO DO

-Design and implement ML models and solutions in Python (primarily in NLP domain);
-Perform various types of NLP tasks related to business meetings in English (e.g., work on phrase type recognition, text classification).
-Determine the required datasets and interact with the data team for their development;
-Develop various models to solve the problems above (e.g., Random Forest, Bag-of-words, models based on vectorization);
-Improve the accuracy of existing deep learning methods and models;
Follow the latest research in machine learning, apply it to current challenges.

ABOUT THE TEAM

The Data Science team (Team Lead,  Junior ML Engineer, Middle ML Engineer, Senior ML Engineer, Technical Product Manager); 
Close cooperation with the Team Lead;
Other teams of the project (Engine, Web app, Infrastructure).
 
REASON FOR OPENING THE VACANCY
Expanding the team. 

WHAT ENGLISH LEVEL IS EXPECTED
Upper-Intermediate +.

REQUIREMENTS FOR THE POSITION

-2+ years of ML development;
-Strong understanding of machine learning principles and model development workflow;
-Experience in NLP subdomain (work with text);
-Good understanding of NLP approaches, models, and libraries (Bert, GPT, spaCy);
-Experience with at least one of the popular ML frameworks (TensorFlow, PyTorch);
-Strong knowledge of Python;
-Knowledge of Git, source code versioning, management
-Excellent coding style and coding best practices.

Will be a plus

-Comfortable working with Linux;
-Online coursework or certifications in data science;
-Completed projects with large text datasets; high marks on kaggle;
Working knowledge of Docker.
 
THE COMPANY OFFERS

-Comfortable office in Odessa city center. Remote for the quarantine period (if desired, the team meets in the office on Fridays).
-Flexible schedule, the result of the work is crucial.
-Contract with a private entrepreneur (in Ukrainian: ФОП), salary in USD, tax coverage, accounting services, relocate bonus.
-Personal bonus, stack options (stock that guarantees financial compensation to team members in case of the company resale/it is entering the stock exchange; percentages grow annually).
-3 weeks of paid vacation, public holidays in Ukraine are days off.
-Paid sick days.
-Compensation for professional education.
 
SELECTION AND INTERVIEW STAGES

1. Interview with a GUID Recruiter;
2. Soft skills interview with Co-Founder (30 minutes);
3. Technical interview with Tech Lead (about an hour) + the candidate will present his data science projects.
 
Have a great day!