Software Engineer Working Student, Taktile
+ Equity
Decision platform for banks and fintechs
Be an early applicant
Decision platform for banks and fintechs
101-200 employees
Be an early applicant
+ Equity
101-200 employees
Company mission
To empower decision makers worldwide to make smarter and safer decisions at scale.
Role
Who you are
- If you’re ambitious, have strong engineering fundamentals, and want to grow as a software engineer, then this role is for you!
- Taktile is a hybrid company with options to work from either our Berlin HQ in Germany or the Iasi Hub in Romania. Taktile will not cover relocation services for this role
- Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication
- Strong engineering fundamentals with a passion for simplicity and precision
- Fantastic Computer Science fundamentals. Data structures, algorithms, networking, distributed systems, databases and everything in between!
Desirable
- Exposure to AWS, especially Lambda
- Experience with frontend development - React or similar frameworks
What the job involves
- We are looking for Computer Science students with a passion for distributed systems who want to turbocharge their career
- Depending on your final team, either work on backend components written in Python / FastAPI, hosted on an AWS serverless architecture, or work on React/Typescript front-end components, or a combination of both!
- Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions
- Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups
Our take
Taktile’s goal is to enable financial services enterprises to adopt machine learning (ML) technology and deliver ML applications. Whilst ML may seem old news, these businesses have been slow to adopt it due to a shortage of expertise, IT resources and regulatory freedom.
This means that the wealth of data at their fingertips tends to go underutilised. With Taktile, these organisations can easily deploy, maintain, and monitor ML applications on a single platform, finally putting crucial ML tools in the hands of enterprise level businesses.
Taktile has inspired impressive confidence in some high-profile backers, including Y Combinator, and the founders of industry behemoths like Datadog and Github. With platforms like Taktile's playing a facilitating role in the AI revolution of financial services, the road ahead should provide ample opportunity for innovation and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
103% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2025
$54m
SERIES B
Nov 2022
$20m
SERIES A
Total funding: $78.7m
Company benefits
- Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes
- Join us onsite in our inspiring office spaces in Berlin, NY, or London and travel to quarterly team meetings around the world
- Make an impact and meaningfully shape an early-stage company by creating new opportunities
- Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo
- Get to know and learn from experienced mentors such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath
- Use the equipment of your choice including meaningful home office set-up
- Benefit from an onboarding and training path supported by best-in-class coaches to become a true expert in your field
Company HQ
Battery Park City, New York, NY
Leadership
Maximilian Eber
(Co-Founder & CPTO)With a PhD in Philosophy from Harvard University, they went on to work in Machine Learning and Causal Inference at QuantCo.
Maik Taro Wehmeyer
(Co-Founder & CEO)Member of the European Commission European AI Alliance, and Founding Member at KI Bundesverband. Was previously a Machine Learning Engineer at QuantCo and Research Associate at Harvard Business School.
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