Machine Learning Engineer (Product. Startup. Equity)

Published on Jul 23, 2021

Shelf

A Product company with office in Kyiv, Ukraine.

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Experience:

1-3 years

Job Type:

Full-Time

Remote

Specializations:

Data Engineering

Deep Learning

Data Science & AI

What You Will Do Responsibilities

The R&D Team plays a critical role in Shelf’s future development and direction. We’re working directly with the executives and responsible for designing and implementing strategic R&D initiatives:

Rapidly design, prototype, and experiment possible machine (deep) learning solutions to solve real-world problems in a highly ambiguous environment.
Collaborate with Product and Engineering teams to integrate successful solutions into large-scale, highly complex production systems
Take ownership and pride in the products we build and always make sure they are of the highest standard
Be empathetic towards team members and customers

What You Should Bring

Must-have

2+ years of experience with a proven record in the ML and data analytics
Solid programming experience in Python
Strong English verbal and written communication
Understanding foundations of Machine Learning (e.g. supervised/unsupervised learning, classification, regression, validation)
Experience in development, deployment, optimization, and support of machine learning solutions
Experience with AWS (SageMaker, Lambda, SQS, SNS, DynamoDB, Step Functions, Batch, ECS, EC2)
Experience with Container Services (Docker, Kubernetes, etc)
Experience working with large-scale unstructured and structured data sets and databases
Experience in building REST API services

Nice-to-have

Understanding theoretical concepts of Recommendation Systems, NLP (language modeling, text classification, sequence classification, question answering, clustering, topic modeling)
Experience with ML frameworks and libraries: PyTorch, Scikit-Learn, HuggingFace, fastText, Gensim, numpy, pandas
Experience with data processing tools and frameworks (Apache Spark, Airflow, etc)
Model optimization and compression (distillation, pruning, quantization, etc)

What You Will Get Benefits

Building a product that’s used by hundreds of top-tier companies

Competitive salary & equity options
Comfortable & modern office in the Lviv city center or remote
Medical insurance
Modern technical stack (stackshare.io/shelf/shelf)
Contribution into open-source software (github.com/shelfio)
Paid vacation leaves and sick leaves, official Ukrainian holidays are non-working days
Work laptop MacBook Pro or equivalent
Challenging tasks from day 1, rapid self-development and learning
Young, smart, friendly Team
This is an opportunity to break through the noise and struggle of everyday work and become a thought leader who impacts the world and the future of work itself.
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