A good place to work and learn: opiniones de empleados con el puesto de Machine Learning Engineer en Seven Sensing Software

5,0
3 abr 2025
Recomendar
Aprobación del CEO
Perspectiva de la empresa

Ventajas

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!

Desventajas

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 mar 2022
Empleado anónimo
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Aprobación del CEO
Perspectiva de la empresa

Ventajas

Very interesting projects in state-of-the-art ML software technologies

Desventajas

Small company, so projects are also smaller scale

4,0
6 jun 2025
Recomendar
Aprobación del CEO
Perspectiva de la empresa

Ventajas

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

Desventajas

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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