Position: Machine Learning Engineer at a product company
Company: Data Science UA
Category: Data Science
Experience required: 2y
English level: intermediate

**About the company **

Our partner is the global leader in AI-first mobile body measuring and fit solutions. The solutions from them are enable innovative personalized shopping experiences based on a consumer’s unique body profiles to drive conversion and engagement and reduce returns. Their body data analytics gives brands actionable insights to retarget shoppers based on actual and accurate body shape and measurement data which is also being used to optimize design, product development, inventory planning, and distribution creating more sustainable business models.

Their mission is to help people easily solve their everyday routine tasks by using their body data in different ways and applications.

And they are looking for an exceptional talent Machine Learning Engineer with a strong foundation in machine learning and the ability to turn ideas into action. You actively worked on camera vision, unstructured text processing and analyses, preferably holding working experience adopting ML models on iOS and Android with Core ML tooling for iOS and TensorFlow for Android. The role has plenty of opportunities for collaboration with several engineering teams at this company and the R&D team.

**Requirements:**

Requirements:

- More than 2 years of experience in maintaining ML/DL projects from idea to production;
- Good knowledge of math behind machine learning models;
- Understanding of data structures, data modeling, and software architecture;
- Understanding of building complex validation schemes for machine learning models;
- Technical stack: Python, PyTorch, scikit-learn, numerical and scientific packages for Python;
- Experience with tracking experiments history;
- English language: Intermediate +;
- Strong communication skills and experience being a flexible team player;
- Understanding of 3D processing, working with ML in 3D;
- Building ML monitoring systems;
- Experience with photogrammetry, scene, and body reconstruction would be a big plus.

**Responsibilities:**

- Develop and maintain a framework for understanding the accuracy of predicted measurements, sizes, and 3d avatars;
- Conduct projects to establish which areas are worthwhile for investing resources in order to improve accuracy;
- Maintain ML pipeline testing flow in terms of data being used.

**What they offer:**

- Career perspectives inside the company (growth up to TOP positions);
- Participation in the Stock Option Program is granted after 6 months of work in the company in case of exceptional results;
- Professional workshops attendance at the company’s expense. According to corporate policy, you may send a request for compensation for participation in an educational course, webinar, etc. In such a case, the company can refund these expenses partly or fully;
- Free corporate English courses;
- You will be entitled to 4 weeks (20 working days) of paid vacation in a year;
- Paid sick leaves (10days/year with full coverage);
- Flexible working hours;
- Hybrid working schedule with 10 remote days each month; 
- Well-organized working place at the cool office;
- Pets friendly team;
- A lot of corporate events;
- Corporate sports programs;
- Fruity Mondays and delicious food Wednesdays.