Amazing team, great culture, and interesting challenges!
Arbeitsatmosphäre
From day one, the team has been incredibly welcoming and supportive. The company offers a strong framework that supports both personal growth and career development. There's always an openness to questions, and collaboration is highly encouraged—you're never working alone on a project. The environment fosters a wealth of learning opportunities, where everyone is eager to share knowledge and expertise.
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Almost all clients have been very happy and impressed with our work. Google reviews also show that.
Work-Life-Balance
Overall, the work-life balance here is excellent. As with any consulting role, there are periods of busier weeks and times when things are a bit slower. The great thing is that you have the flexibility to manage your own pace and take on more or fewer projects as needed. The team is very open to discussing concerns, and your mentor is there to support you with time management if necessary. It's important to be mindful of your work-life balance and proactively raise any concerns if it becomes an issue. Fortunately, it's never a problem to find immediate relief, adjust deadlines, or reschedule meetings and projects when needed.
Karriere/Weiterbildung
There is a regular leveling process, which is super fair and transparent. There are lots of opportunities to grow, and you are always encouraged to take your time to learn about new topics, or work on a little side project that might turn into a product. Internally, there's also often reading circles, paper clubs, and knowledge sharing events.
Gehalt/Benefits
Pay is definitely fair but not extremely high for ML Engineers. I wouldn't say Kineo is the place you go if you want to make a lot of money but you can definitely earn a living. Also, salaries are very transparent and there is a regular leveling process, where the next level usually also means a significant raise.
Kollegenzusammenhalt
As mentioned earlier, the team is incredibly friendly and supportive. We have a diverse group of individuals, each bringing unique strengths, talents, and backgrounds, which creates a great environment for learning and collaboration. There’s always an expert ready to lend a hand or answer questions. We frequently engage in pair programming, occasional client visits together, and enjoy fantastic team events. Overall, my experience has been nothing but positive, and I genuinely appreciate every single person on the team.
Umgang mit älteren Kollegen
Everyone is rather young, but given our focus on DEI, I am confident that Kineo would also be a great place for older colleagues :-)
Vorgesetztenverhalten
At Kineo, there are no formal hierarchies, so there are no traditional managers. However, there are individuals with more experience who have been with the company longer. That said, everyone has the opportunity to lead initiatives and take ownership of projects or topics, essentially becoming a leader in their own right. This proactive approach is actively encouraged and highly valued, with a culture that appreciates when people step up and drive topics forward.
Arbeitsbedingungen
Nice office, great team events, good equipment.
Kommunikation
In my experience, communication here has consistently been both effective and respectful. We utilize a variety of tools and channels to offer praise and constructive feedback. Feedback is an integral part of our culture, and it plays a key role in personal and professional growth, helping individuals gain valuable insights into their strengths and areas for improvement. Regular team meetings, all-hands sessions, and retrospectives all contribute to fostering an open and transparent environment.
Gleichberechtigung
Kineo pays a lot of attention to diversity, equity, and inclusion! It's one of our constant focus areas, and we take it very seriously in hiring as well as day-to-day work.
Interessante Aufgaben
The projects at Kineo are incredibly diverse. We’re developing our own product in the field of quality control and computer vision, but we also engage in many traditional consulting projects across various industries. Personally, I’ve had the opportunity to work on a wide range of topics in my first few months, from classical machine learning and computer vision (part detection, quality control) to LLMs (RAG, chatbots). There are also short, prototype-driven projects that are fast-paced and fun, offering excellent chances to explore new areas and quickly gain insights. At the same time, we maintain long-term partnerships with clients, where the focus shifts more towards customer relations, deployment, maintenance, and large-scale projects with multiple use cases. Overall, there’s a lot of freedom and flexibility to choose projects that align with your interests and areas where you want to grow.