Staff Software Engineer, DeepL
API
$150-225k
Offers Equity
Deep learning for language translation
Be an early applicant
Deep learning for language translation
501-1000 employees
Be an early applicant
$150-225k
Offers Equity
501-1000 employees
Company mission
DeepL's mission is to overcome language barriers and bring cultures closer together.
Role
Who you are
- Strong proficiency in backend software development with C# and ASP.NET Core
- Experience with the design of Web APIs
- Solid understanding of algorithmic complexity and common data structures
- Effective and pragmatic; you can weigh between 'perfect' and 'good enough' depending on priorities and business impact
- Proactive and proficient in stakeholder communication in English, ensuring clear and effective interactions
- Experience with a wide range of observability practices (SLOs, Dashboards, Alerts,..) for business critical systems
- Experience with Domain Driven Design (DDD) is a plus
What the job involves
- As a Staff Software Engineer you will work with DeepL API team’s mission is to make our AI easy to use by providing open source libraries in a wide range of programming languages - to date we have released client libraries for Python, .NET, Node.js, PHP, and Java
- The API team works closely with our core product team and solution consultants to bring our API customers our latest innovations to solve their business needs, and is a highly experienced cross-functional team based in our newly formed NY tech hub
- The team builds our backend services (C#, ASP.NET Core), adding exciting new API features
- The team is also responsible for developing our client libraries and making sure that they deliver value to the developer community
- Align and influence the architectural direction with other staff and principal engineers across the business vertical
- Facilitate and proactively shape the overall architecture of systems owned by API & Partnerships Tech teams
- Provide hands-on technical leadership on projects with a size and scope of more than one team
- Develop and maintain open-source client libraries for the DeepL API in several programming languages
- Contribute to monitoring the API services in production, e.g. by defining expressive metrics and ensuring informative logs
- Mentor, develop and coach other software engineers
Our take
DeepL is a deep tech company developing neural networks that help people work with languages. Committed to advancing precision and idiomatic comprehension in business translation.
Founded in 2017, DeepL has quickly become a leader in language translation with its advanced generative AI model, setting new standards for accuracy and sophistication. Serving over 100,000 customers across media, education, transportation, and more, the company enhances communication efficiency across multinational teams and customer interactions via web apps, and integrated platforms, solidifying its industry position.
With recent funding and the launch of its new Write product, the company plans to expand globally, focusing on the US, Asia, and LATAM. As businesses prioritise accuracy, privacy, and security in translations, DeepL is well-positioned to meet the growing demand for specialised AI solutions in the enterprise sector.
Kirsty
Company Specialist
Insights
Many candidates hear
back within 2 weeks
103% employee growth in 12 months
Company
Employee endorsements
Intelligent people
"We hire excellent people, both culturally and technically. Having so many different cultures, nationalities and characters at DeepL, it still always..."
Funding (2 rounds)
May 2024
$300m
LATE VC
Jan 2023
$111.8m
LATE VC
Total funding: $411.8m
Company benefits
- Flexible working-from-home
- Additional Occupational health and Accident Coverage
- Hack Fridays
- Work from home abroad
- Regular international team events
- Remote home office setup (furniture and equipment)
- Mental wellbeing platform
Company values
- We care We care about our (free) users, our customers, our fellow employees, the societies of this world and the environment/planet (in no particular order). We act ethically, empathetically and want DeepL to be making this world a better place. We are mindful about the consequences of our own actions and of the actions that are done by models that make decisions on our behalf. We listen to each others' problems and help one another to solve them.
- We build for scale, quality and think long-term We understand that in order to make a significant impact in the world, we have to always think about solutions that scale and reach a significant number of users/customers. At the same time, DeepL is known for delivering highest quality AI products and we aim at maintaining this high quality bar for the solutions we develop. Our short term execution is based on current data, but in order to remain innovative we need to think ahead, assign enough resources and be brave enough for big bets which determine the next stages of future growth.
- We are decisive, move fast and act as owners We understand that we need to move fast in the competitive environment we are in. We therefore make sure that our organization, processes and communication are as disciplined, effective and quick as possible - so that we can get our jobs done as quickly as possible. We optimise for the speed of learning - we release early in small steps and understand that this may break things - we make sure we detect this, improve and move on. We understand that such efficient operation is only possible when everybody assumes ownership, responsibility and is given the space to make decisions and act as independently as possible. We encourage bold decision making and understand that in a fast paced environment mistakes are a normal part of the learning process.
- We are humble, open and collaborative DeepL is not a place where you boast with your title. We believe that good ideas can come from anywhere. Our collective success is more important than that of any individual. We communicate transparently, openly and respectfully. We assume positive intent. Information is open by default and accessible to everybody, restricted only when really necessary.
Company HQ
GE Ehrenfeld, Köln, Germany
Articles
Leadership
Jaroslaw Kutylowski
(CEO)Originally the Head of Software Development at Andagon, before moving on to serve as CTO at Linguee - which resulted in the founding of DeepL.
Salary benchmarks
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Diversity, Equity & Inclusion at DeepL
- Our diversity is one of our biggest strengths as a company, and we delight in the opportunity to work with DeeopLe from all corners of the globe and all walks of life. Here are some examples of what we currently do to ensure our company is welcoming and inclusive of everyone:
- Our remote work policy makes work at DeepL accessible to parents, caregivers and those with additional needs that may form barriers to office work
- We aim to eliminate bias from hiring via ‘blind feedback’- interviewers can’t see each other’s notes or any information about a candidate that is not directly related to their experience and skills
- We actively reach out to underrepresented groups within that team when hiring for a new position
- We make decisions collaboratively within our teams, not top-down- this means the diverse voices within DeepL are not just in the room but actively being heard and listened to with every move we make
- We use inclusive language in our job descriptions and listen to advice about how to make them accessible to all applicants
- We create diverse interview panels wherever possible to ensure candidates feel seen by people they can relate to
- However, we know that we could do more- and we want to! Here are some of the steps we have in mind for the future:
- Have a visible presence at industry events targeting underrepresented groups within tech, and start to organise events of our own
- Continue to promote DeeopLe from diverse backgrounds into leadership positions within our teams
- Continue to support shared interest groups within the company to allow people with shared difficulties or barriers in the industry to collaborate and support one another
- Do you have some more ideas about what we could do to make DeepL more inclusive? Hit ‘apply’, and you can tell us all about it in the interview…
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