Machine Learning Engineer @
2 tygodni temu
Hi there We are Tooploox and our projects aim to enhance people's lives. We have already revolutionized the way individuals manage finances, construct homes, and maintain their well-being. Join us to be part of this mission
Experience and skills you need to join us:
- Team-work attitude with excellent communication skills
Software development and coding skills:
- Proficiency in Python, clean code, code reviews, algorithms, and data structures
- Familiarity with image processing, ML solutions for Computer Vision, and classical algorithms for image processing
Knowledge of machine learning:
- Understanding of basic problems in ML modeling, types of modeling, popular models, and ways of evaluating the models
- Ability to propose appropriate tools from ML, statistics, or software development toolbox to solve client's problems
Basics of statistics:
- Knowledge of p-value, t-test, confidence interval, correlation, and independence of random variables
- Fluency in English (required for meetings with English-speaking clients)
It would be great if you also have:
- Proficiency in deep learning/machine learning libraries like scikit-learn, keras, pytorch, tensorflow, etc.
- Experience in leadership/mentoring
- Track record of publications in top-tier machine learning/computer vision/natural language processing venues (CVPR, NIPS, ECCV, ICML, ICASSP, ICLR)
- MSc/PhD in computer science, machine learning, signal processing, or related fields
[Implement both established and state-of-the-art machine learning methods for content analysis, meta-data extraction, content classification, and others. Work on algorithms from idea generation to deployment on production. Interact directly with various clients, from startups to multinational corporations such as eBay. Ensure data integrity throughout the project lifecycle. Collaborate with renowned researchers and scientists to devise new machine learning methods and approaches.]
Requirements: Python, Machine Learning, Computer vision, MSc, PhD
Additionally:
- Salaries in various currencies
- 26 days of paid holidays for all employees
- Training and conference budget
- In-house trainings and English lessons
- Profit sharing and team events
- Opportunity to work on international projects with a team of experts
- Flexible working hours and remote work options
- Benefits like Multisport card, psychologist support, mental health care, lunch and integration budget, PZU health care plan
- Free coffee, breakfast, snacks, and beverages
- Vibrant startup atmosphere with no dress code
- Modern office facilities including showers, gym, in-house hack days, and bike parking
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