Technology, Information and Internet

Enao Vision GmbH

11-50

We are Kineo, a Berlin-based tech startup developing machine learning solutions that bring real, tangible business value to our clients. Through our expertise, mindset, culture and most importantly with your help we are turning the AI landscape upside down. Are you excited to contribute to meaningful, impactful projects?
Our proposition to you
<ul>
<li>We vouch to create a space where you can explore different sets of complex problems and data across industries and verticals.</li>
<li>To support you in your personal development, everyone at Kineo has a mentor. When you grow, so does Kineo.</li>
<li>Your decisions matter! You will not have a boss who decides things for you. At Kineo we believe that decisions are best made locally, by the people closest to the problem at hand.</li>
<li>Transparent salary and career planning from day one.</li>
<li>A beautiful office in the centre of Kreuzberg, with tons of benefits, such as free drinks, snacks, consoles etc.</li>
<li>28 days of vacation</li>
<li>A shared revenue model - when Kineo does well, you will benefit financially, too</li>
</ul>
Success in the role means that you will have
<ul>
<li>After 2 months: You established yourself as a member of the team and have already contributed to one of our client projects. You have a clear understanding of how we work and can independently navigate our technical architecture.</li>
<li>After 6 months: You are a key member of the team and fully involved in the development of a client project. You will have made notable contributions to our codebase and internal processes.</li>
<li>After 12-24 months: In collaboration with internal science and engineering resources, you lead the development of a client-facing application from the workshop phase to production. You are a trusted expert in a wide variety of machine learning algorithms and you are able to transfer that knowledge to more junior members of the team.</li>
</ul>
Your Character Traits
<ul>
<li>You want to achieve something and don't need a "manager" to tell you that. You are eager to have space to take responsibility and grow from that.</li>
<li>You enjoy exploring beyond your immediate tasks and are open to learning new skills. You collaborate across different areas to help the team succeed, even in areas outside your main expertise.</li>
<li>You are a strong communicator with the ability to present ideas clearly and collaborate effectively. You value building positive relationships and working together to achieve shared goals.</li>
</ul>
You fit in with our team culture if you
<ul>
<li>Enjoy working in an environment that combines pragmatic, commercial thinking with a strong desire to learn and grow together. We value team players that are curious but convey humility and respect for different opinions.</li>
<li>You actively choose to work in a start-up, with all the ups and downs.</li>
<li>See open feedback, accountability and independent thinking as the foundation for exceptional (team) work.</li>
<li>You embrace Diversity, Equity, and Inclusion. You are excited to contribute to an environment where different perspectives are celebrated, and you actively participate in fostering awareness and continuous learning around DEI.</li>
</ul>
<h2>Tasks</h2>
<ul>
<li>You will work as part of smaller teams of 2-3 people on developing machine learning solutions with our clients.</li>
<li>You will conceptualize and implement algorithmic solutions to challenging business problems. This includes prototyping and productionizing of machine learning solutions, and also defining and analysing product use cases together with the customer.</li>
<li>You will own machine learning solutions from the first drop of raw data, all the way into production serving millions of inference requests.</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>An advanced quantitative degree - e.g Mathematics, Statistics, Computer Science or related fields. Strong knowledge of theoretical math and CS.</li>
<li>At least 3 years of work experience as Data Scientist or Machine Learning Engineer working on Computer Vision related tasks</li>
<li>Strong programming skills in Python. We love other languages too, but Python is what we (and you) will use.</li>
<li>Experience in using a wide range of ML frameworks such as SKLearn, Tensorflow, Torch in production. Experience with domain specific libraries like OpenCV, HuggingFace etc are an advantage.</li>
<li>Good written and verbal communication in English</li>
<li>Resident in Germany, Berlin specifically. Due to the size of the company, we cannot currently accept applications from other EU/non-EU countries.</li>
</ul>
We explicitly do not hire anyone who discriminates against people on the basis of religion, national origin, gender identity, sexual orientation, age, marital status or other aspects. We encourage people from LGBTQIA+ and other underrepresented groups to apply.
Last but not least, keep in mind that we are hiring value based, not skill based. That being said, please tell us the following in your contact message:
<ul>
<li>Why we would love to work with you</li>
<li>Why you want to work with us</li>
</ul>

Senior Computer Vision Machine Learning Scientist (f/m/d)

Kineo GmbH logo

Google {privacyLink} and {termsLink} apply.

Benefits

Media

We don't have any open positions at the moment

No available jobs

Locations

Open positions

Values

Videos

Do you have a question?

Spontaneous Application

We’ll send a link to this job to your email.

No time? Just apply later

We are reviewing your account. Once our managers approve it, candidates will be able to apply for this job.

Changes are not visible until you publish your job.

This is a preview of your job ad.

Interested?

The job {jobTitle} was archived or the deadline has passed.

This job is no longer available

Hiring team

{count, plural, one {# day a week on-site} other {# days a week on-site}}

Our other open positions

We no longer accept spontaneous applications

Are you a talented professional seeking your next career adventure? At {companyName}, we appreciate proactive individuals who can bring a fresh perspective to our team.

While we may not have an immediate job opening that precisely matches your needs, your distinctive experiences and talents might be an excellent fit for us in the future.

To submit your spontaneous application, please use the application form on the right to upload your CV and cover letter. Ensure that you mention your desired position in the cover letter.

Rest assured, our dedicated recruiting team will reach out to you once they identify a role that aligns perfectly with your skills and aspirations.

How to apply

Jobs at {companyName}. Browse all open positions and become part of our team! Open positions: {jobsCount}

Jobs at {companyName}. Browse our open jobs and join us! We currently have {jobsCount} available jobs. Step up your career and apply today!

Jobs at {companyName}. Browse all our open positions and become part of our team! We have currently {jobsCount} jobs available. Apply today to join us!

Jobs at {companyName}. Browse all open positions and become part of our team! We are currently looking for {jobsCount} additions to our company. Apply today!

Jobs at {companyName}. Browse all open positions and become part of our growing team! We are currently looking for {jobsCount} additions to our company. Apply today!

Jobs at {companyName}. Browse all our open positions and become part of our growing team! We are currently looking for {jobsCount} additions to our company. Apply today!

Browse all our open positions and become part of our team! We are looking for {jobsCount} additions to our company. Take the next step in your career and apply today!

No suitable positions available at {companyName}? Don't wait! Submit a spontaneous job application today and unlock your career possibilities tomorrow.