StepStone: Founded in 1996, part of the Axel Springer SE group, is one of the most successful international digital recruiting businesses. We operate over 54 job boards with over 67 million visits per month and employ over 3,500 people in more than 20 countries. We deliver the best experience to our candidates and the recruiters we work with from small local players to big global brands across the job industry.
We at Stepstone are disrupting the global job market. Our products are digitalising the marketplace, setting new digital recruiting standards. How? By leveraging Artificial Intelligence to transform finding jobs and finding talent into a gratifying experience. Simple. Human. Intuitive. This is StepStone.
Our 1000 people-strong, global Product, Technology and Marketing teams are empowered to work on complex challenges that will make a significant difference across the world. We’re a positive force for good with our mission being to get the right people into the right jobs. We do this by making sure people are at the heart of our strategy as well as making sure people are at the heart of the companies we work with.
When we talk about people, we mean that we celebrate the differences, the diversity and the diverse perspectives that make communities both successful and wonderful. We strive towards creating an inclusive culture, a truly diverse organisation and an environment that is reflective of a flexible way of working for everyone.
We are keen to spread the net far and wide to reach out to candidates from diverse backgrounds. If you’re an unconventional candidate or you feel like you’re under-represented within the industry then we’d love to hear from you.
At StepStone we have a simple but very important mission: As one of the leading online job platforms, we help everyone find the right job. Therefore, we need you!
To accomplish our mission, we are looking for a (Associate) Machine Learning Engineer (m/f/d) in any of our locations: Düsseldorf, Berlin, Brussels, London, Warsaw, or fully remote. In our Data Science team, you will help us to fully leverage Machine Learning models to drive product innovation.
You will join our diverse team of Data Scientists and Machine Learning Engineers and become an active part of our larger, international data science and engineering community. Our team and the community have a wide variety of backgrounds from physics to computer science to quantitative psychology, but we all share the passion: to apply our expertise to improve e-recruiting.
Does this sound like you? Join us and become part of one of the largest German digital enterprises with more than 3.600 employees. In addition to our international footprint, we are also part of the Axel Springer SE family and its unique European family of successful companies.
We’re always interested in working with amazing people. Just hit the Apply button – we’d love to hear from you!
You will join the 3 Data Scientists and 2 ML Engineers in our team, and 20+ Data Scientists across the organization, to help productionizing cross-functional Data Science projects.
You will be actively involved in the engineering, design, implementation, and deployment needed to scale the application of our machine learning models. You can take a project from idea to experiment, to prototype, to implementation!
You will work with our development stack consisting of AWS SageMaker, MLFlow, Terraform, and others, and help evaluating and introducing any new tools and technologies that might help us work more efficiently.
You will also actively work on current LLMs, including fine-tuning and productionizing open source models at scale.
Together with other Machine Learning Engineers, you will help define and evolve best practices for our community.
You will interact with various product owners across the company for defining and understanding their problems from a technical perspective, contributing to and driving efficient formulations and solutions to these problems.
You will keep track of the state of the art in MLOps and scalable techniques for machine learning and optimisation, and actively implement them within the group.
You have good Python skills and experience.
You appreciate coding rigour and have good software development skills.
You are open to learn and challenge yourself in a fast-paced environment.
You have experience with cloud environments, preferably AWS.
Previous work with any big data and machine learning frameworks and technologies would be a big plus, especially in the area of LLMs.
You have a Bachelor’s or Master’s degree in a data-intensive science/engineering discipline or similar relevant expertise.
Labor market or economics knowledge is not necessary but a plus
What we offer:
A culture around Data Science and Engineering which allows you to choose the best tool for the job and have the space to explore new solutions. This is supported by hackathons, internal data science mini-conferences and local meetups in our offices across Europe.
Exciting challenges: we develop solutions that help millions of jobseekers and employers. This is both challenging and rewarding.
Teamwork: you will be part of an international, strongly interacting team of Machine Learning Engineers & Data scientists. We discuss, exchange code, and benefit from the diverse academic backgrounds to drive our projects.
Connections: tight cooperation with other departments (product, analytics, BI, Data engineering, search) allows us to build on existing (big) data infrastructure and provides the freedom to test truly innovative ideas. As machine learning & AI are core technologies for our business, you will stay informed about running & upcoming initiatives at StepStone. You will get support from our project managers to coordinate the execution of your projects.
Development: StepStone expects and fosters professional development. You will participate in trainings and visit expert conferences to learn about new technologies and stay up to date regarding machine learning research. Also, we offer close mentoring and tutoring specifically for junior people to get them up to speed and assist them on their personal career path.
Great atmosphere: Stepstone is a dynamic workplace with flexible working hours and extensive remote work options.
Join our team and contribute your expertise to make a significant impact on our company’s success while advancing your IT career. We look forward to receiving your application!
Originally posted on Himalayas
Machine Learning, Machine Learning Engineer