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Seven Sensing Software

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A good place to work and learn - Avis employé Machine Learning Engineer Seven Sensing Software

5,0
3 avr. 2025
Recommande
Approbation du PDG
Perspective commerciale

Avantages

I’ve had a great experience working at this company. The managers are great listeners, highly experienced in the industry, and have strong technical expertise, which makes discussions productive and insightful. The work environment is positive and friendly, with colleagues who are not only experienced experts in their domain but also supportive and collaborative. There’s a strong sense of teamwork and knowledge sharing, making it a great place to grow professionally. In terms of work-life balance, the company offers three days of remote work, which provides flexibility while still maintaining a strong team connection. Additionally, the remuneration is competitive, reflecting the value the company places on its employees. Overall, it’s a nice place to work, especially for those who appreciate a technically strong team, a great culture, and good work conditions. I highly recommend it!

Inconvénients

The company works at the edge of new technology, which means there’s always something new to learn. This dynamic environment pushes us to constantly improve and stay at the top of our game. But it’s a great place for those who enjoy personal growth and gaining expertise.

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4,0
23 mars 2022
Employé (anonyme)
Recommande
Approbation du PDG
Perspective commerciale

Avantages

Projets très intéressants dans les technologies logicielles ML de pointe

Inconvénients

Petite entreprise, donc les projets sont également à plus petite échelle

4,0
6 juin 2025
Recommande
Approbation du PDG
Perspective commerciale

Avantages

Pros Supportive and friendly colleagues contribute to a positive working environment. Project managers are generally open to exploring new solutions, even when facing unfamiliar technical challenges. Free coffee

Inconvénients

Projects can occasionally lag behind current machine learning trends due to technical constraints, which may limit opportunities for career growth in cutting-edge ML topics. Advancing into leadership roles is not always feasible, depending on the structure and available opportunities within the organization.

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