Machine Learning/MLOps Engineer (all genders)
Berlin / fully remote
Ecosia
Ecosia uses the ad revenue from your searches to plant trees where they are needed the most. By searching with Ecosia, you’re not only reforesting our planet, but you’re also empowering the communities around our planting projects to build a...Please be aware that in the event of a significant number of applicants, the position may be temporarily removed from the website until we can thoroughly evaluate each application. If we are unable to identify the ideal candidate from the initial pool, we will repost the role online. Thank you!
If you have any questions about this or any other role before applying, please reach out to jobs@ecosia.org
We are looking for an engineer with a machine learning / artificial intelligence focus. In this role, you'll be at the forefront of creating innovative search experiences. You'll be tasked with integrating natural language processing (NLP) solutions to enhance the interpretation of user queries and improve advanced models for a range of search tasks. You will propose and refine MLOps practices that enhance the efficiency of our experiments and scale well in production. You'll collaborate closely with data scientists and ML engineers in your team, as well as with cross-functional teams, including software engineers, product managers, data analysts, and UX designers, to seamlessly integrate machine learning solutions into Ecosia's search experience. Additionally, you'll have the opportunity to explore new technologies in machine learning and contribute to their adoption across the company. Join us in shaping the future with AI!
What you’ll be doing
Explore and propose innovative solutions to address complex challenges in the search domain.
Implement natural language processing (NLP) techniques to improve the understanding of user queries.
Build data pipelines for training and evaluation of machine learning features.
Build, deploy, tune, and maintain scalable and efficient machine learning models for production environments.
Propose and implement MLOps solutions that improve monitoring, versioning, and cost-efficiency in experimentation as well as shipping models to production.
Work closely with data scientists, software engineers, product managers, data analysts, and UX designers to integrate machine learning solutions into Ecosia’s search experience.
Stay on top of the latest developments in machine learning and artificial intelligence and actively contribute to the adoption of new technologies at Ecosia.
Share knowledge on machine learning solutions across engineering teams.
Review environmental, ethical, and privacy risks of machine learning models.
What you bring
You have a documented history of designing and shipping machine-learning pipelines and models for real-world applications for at least 2 years.
You are proficient in Python and have experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. You are curious to work with Go.
You are familiar with data transformation techniques and tools (for example PySpark and Pandas).
You are familiar with building data pipelines at scale, ideally in a cloud environment.
You demonstrate attention to detail, can break down ambiguous problems, and propose innovative solutions.
You possess effective communication skills with the ability to convey complex concepts to both technical and non-technical stakeholders. You enjoy working collaboratively in cross-functional teams.
You work well in an environment of evolving requirements and demonstrate a hands-on approach to problem-solving.
Why Ecosia?
What if your job made a real difference in the climate crisis? Join Ecosia and help plant millions of trees where people and ecosystems need them most.
We offer you the opportunity to balance work with other parts of your life. (Flexible working hours, more vacation days than the law requires (30 days/year on a five-day week), designated Focus Times, remote work options) (not applicable to freelance contracts).
Moving to Berlin for the first time? We welcome everyone and offer relocation support and visa/work permit assistance to new employees and their loved ones coming from abroad and within Germany (applicable for unlimited contracts).
We are a team of more than 30 nationalities, including people from different sexual orientations, ages, races, physical/mental abilities, child/pet/plant parents, and non-traditional backgrounds.
We help you live sustainably through our green benefits, such as subsidized public transport cards, bike inspection, etc., depending on your location (not applicable to freelance contracts).
We support your professional growth through monthly learning days, hack days, online and physical library, a 2000€ development allowance per year, continuous feedback, etc. (not applicable to freelance contracts).
Q&A
How many people work at Ecosia?
115 (May 2024) - our departments include Engineering (incl. Platform), Product (incl. Design & BI), Marketing, Trees, Operations, and People and Culture.
Where is Ecosia based and what kind of a work set-up do we have?
We are a remote-friendly company with one office in Berlin-Wedding. People come to the office or work from home as per their wishes and circumstances. Some roles require presence in the office at least from time to time. The Talent Partner will tell you more.
Tags: Data pipelines Engineering Machine Learning ML models MLOps NLP Pandas Pipelines Privacy PySpark Python PyTorch Scikit-learn TensorFlow UX
Perks/benefits: Career development Equity Flex hours Flex vacation Home office stipend Pet friendly Relocation support Unlimited paid time off
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