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Senior Machine Learning Engineer

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Poland

Offer summary

Qualifications:

MSc/PhD in computer science, machine learning or related fields, Fluency in Python, deep learning libraries, image processing.

Key responsabilities:

Implement advanced ML methods for content analysis
Assure data integrity and work with clients directly

Tooploox SME https://tooploox.com/

51 - 200 Employees

See more Tooploox offers

Job description

Hi there!

We are Tooploox and we work on projects that improve people’s lives - in line with our mission, we have already changed the way people invest their money, build houses and take care of their health (just take a look at our client portfolio).

Feel invited!

What you will do:

Implement both established and cutting-edgemachine learning methods for content analysis, meta-data extraction, content classification, and others.
Work on the algorithms from the idea stage all through to the deployment on production.Interact directly with the client to report progress and plan new tasks.
Interact directly with the client to report progress and plan new tasks.
Assure the integrity of project data (data extraction, storage, management, processing, and analysis).
Work with world-class researchers and scientists to develop new machine learning methods and approaches.

Experience and skills you need to join us:

Team-work attitude with great communication skills.
Software development and coding skills: Python, clean code, code reviews, algorithms and data structures.
Experience with image processing, ML solutions for Computer Vision, classical algorithms for image processing.
Knowledge of machine learning: variousproblems in ML modeling, types of modeling, popular models, ways of evaluating the models etc.
Data-based problem-solving skills, i.e. ability to propose an appropriate tool from either ML, statistics, or software development toolbox to solve client’s problem.
Basics of statistics: p-value, t-test, confidence interval, correlation, independence of random variables.
Fluency in deep learning and related libraries: numpy, scikit-learn, pytorch or tensorflow, etc.
MSc/PhD in computer science, machine learning, signal processing, or related fields.
Fluency in Polish and English (you will attend meetings with English speaking clients).

It would be great if you also have:

Leadership/mentoring experience.
Publication track record in top-tier machine learning/computer vision/natural language processing venues (CVPR, NIPS, ECCV, ICML, ICASSP, ICLR).