Ukraine is the #1 software development destination in Central and Eastern Europe and the #4 most significant exporter of IT products and services in the world. Companies like Grammarly, MacPaw, Samsung, Boeing, Snapchat, DataRobot, Reface and others have already established their R&D centers in Ukraine.
13 сентября 2021

Senior/Lead ML Engineer (вакансия неактивна)

Киев, удаленно

Необходимые навыки

— Master’s degree in Computer Science, Engineering, or a related field
— 4+ years of professional experience working in Machine Learning, Computer Vision, NLP, Big Data, or a related field.
— Experience in at least one deep-learning framework (Tensorflow, PyTorch, etc.)
— Experience in at least one of the following: Computer Vision, ML for audio, natural language processing, ML model optimization
— Strong verbal and written communication skills
— Strong background in data and analytics

Preferred Qualifications
— Experience working with video—video capture, video processing, transcoding, frame analysis, ffmpeg
— Experience with distributed computation frameworks (Spark, Hive, Dask, Metaflow, etc.) and job orchestration (Airflow, Luigi, etc.)

Обязанности

— Conduct machine learning research on all aspects of model development to achieve state-of-the-art performance in terms of both accuracy and efficiency
— Design and own the curated, labelled datasets that are used for training models and evaluating them
— Define and implement the metrics used for the evaluation of models and the processes for model acceptance and QA

О проекте

Our partner’s Core AI team is in charge of building models for the next generation of AI-powered TV products. They are responsible for the end-to-end development of their models, including

— dataset collection using geographically distributed television labs;
— model training in the cloud using serverless GPU clusters;
— model optimization for constrained computation on the edge;
— model testing using both virtual and real televisions; and
— creation of the data pipelines and tooling that makes the above possible.

As a member of their team, you will be working at the intersection of engineering, science, and entertainment. As a ML Engineer, you will work on the end-to-end development of our AI models. As an ML practitioner, you value efficiency, scalability, and repeatability.

Although these models lean heavily on the visual aspects of a video feed, they may also use the audio, subtitles, and related metadata; thus, computer vision, ML for audio, and natural language processing all come into play.