Staffbase GmbH
Your Role
As a founding Senior Machine Learning Engineer on our innovative Mission Control team, you will play a pivotal role in shaping the technical direction of our products. Your solutions will transform Staffbase customers into strategic storytellers and help measure impact of their communications. You will drive the development of scalable, robust ML-based systems that redefine customers experiences.
Our environment
Working with skilled and similar-minded professionals in a team that values diversity and inclusivity
We aim to create a flexible and agile work environment that promotes the well-being and work-life balance of our employees
We believe that team events during working hours play a vital role in building an exceptionally effective team, and we encourage them
We are enthusiastic about technology and committed to using it to improve the world
We follow the "You build it, you run it" approach and take pride in it
What youll be doing
Build & Deploy ML Solutions : Build and maintain scalable, secure, and reliable ML pipelines for processing large volumes of textual data. Work with orchestration tools (e.g., Dagster) to manage complex data workflows
Collaborate & Innovate : Work cross-functionally with product, design, and engineering teams to create user-centric, ML-driven solutions
Experiment & Learn:
Run experiments, embrace fast failures, and iterate quickly for continuous product improvement Mentor & Grow:
Share knowledge, support team growth, and stay ahead of AI trends to drive innovation What you need to be successful 5+ years of experience in Machine Learning 2+ years of experience in Natural Language Processing 6+ months of experience with building applications leveraging Large Language Models Experience with MLOps best practices, model monitoring, and model versioning Experience working in a product team in a software development environment Proven experience leading ML projects, making strategic technical decisions, and mentoring engineers and data scientists Experience building and deploying ML models in cloud environments, utilizing containerization and orchestration tools Strong product-oriented thinking with a deep understanding of customer needs and domain-specific challenges Strong programming and engineering skills, with the ability to design, build, and maintain scalable ML systems What you'll get Competitive Compensation
- we offer attractive salary packages including an Long-Term Incentive Plan Flexibility
- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of 1560 Growth Budget
- all employees get a yearly budget for external training of 1000, and one day off for growth per year (increase to two days in 2nd year) Recharge
- with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August Wellbeing
- Monthly Wellbeing Allowance 35, from fitness to mental health, hobbies to relaxation Support -were offering a company pension scheme Sports & Health
- join our sport courses in the offices. The offices are equipped with fruits, drinks and snacks Team Building
- Regular team and office events including the yearly Staffbase Camp Volunteers Day - youll get one day off per year for supporting a social project Employee Referral Program
- one of your friends is a fit to one of our full-time openings? Refer them and get a referral bonus paid
#J-18808-Ljbffr
Run experiments, embrace fast failures, and iterate quickly for continuous product improvement Mentor & Grow:
Share knowledge, support team growth, and stay ahead of AI trends to drive innovation What you need to be successful 5+ years of experience in Machine Learning 2+ years of experience in Natural Language Processing 6+ months of experience with building applications leveraging Large Language Models Experience with MLOps best practices, model monitoring, and model versioning Experience working in a product team in a software development environment Proven experience leading ML projects, making strategic technical decisions, and mentoring engineers and data scientists Experience building and deploying ML models in cloud environments, utilizing containerization and orchestration tools Strong product-oriented thinking with a deep understanding of customer needs and domain-specific challenges Strong programming and engineering skills, with the ability to design, build, and maintain scalable ML systems What you'll get Competitive Compensation
- we offer attractive salary packages including an Long-Term Incentive Plan Flexibility
- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of 1560 Growth Budget
- all employees get a yearly budget for external training of 1000, and one day off for growth per year (increase to two days in 2nd year) Recharge
- with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August Wellbeing
- Monthly Wellbeing Allowance 35, from fitness to mental health, hobbies to relaxation Support -were offering a company pension scheme Sports & Health
- join our sport courses in the offices. The offices are equipped with fruits, drinks and snacks Team Building
- Regular team and office events including the yearly Staffbase Camp Volunteers Day - youll get one day off per year for supporting a social project Employee Referral Program
- one of your friends is a fit to one of our full-time openings? Refer them and get a referral bonus paid
#J-18808-Ljbffr