Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Train and optimize machine learning models to enhance our search engine's accuracy.
- Arbeitgeber: Join Climatiq, a company focused on innovative solutions for CO2 emissions data.
- Mitarbeitervorteile: Enjoy remote work options, employee stock options, and a learning stipend.
- Warum dieser Job: Be part of a mission-driven team making a real impact on climate change.
- Gewünschte Qualifikationen: 3+ years in machine learning or software engineering; strong Python skills required.
- Andere Informationen: Work remotely within +/- 2 hours of CET or from our Berlin office.
Das voraussichtliche Gehalt liegt zwischen 70000 - 90000 € pro Jahr.
About the company
Company Climatiq
Responsibilities
- Train, optimize, and evaluate various models (e.g., transformers, classifiers, encoders, LLMs) to improve North Star metric of accuracy @ top-k for our search engine on top of CO2 emissions data.
- Develop and explore innovative methods for modeling multilingual, semi-structured, and hierarchical data. Perform experiments and communicate their results.
- Source, process, and standardize data from multiple sources, ensuring data quality and readiness for modeling. Generate synthetic data that can be used for the same purposes.
- Deploy and maintain models on AWS SageMaker . Optimize pipelines and prepare production services using flask, pydantic, MLFlow .
Requirements
- 3+ years of experience as MLE and/or Software Engineer.
- Good understanding of Machine Learning and underlying mathematics.
- Experience in designing and implementing retrieval, ranking and classification systems, RAG and LLMs.
- Experience preparing models for production deployment, experience with Python REST APIs.
- English – fluent (C1 and up).
- Comfortable working autonomously, with excellent problem-solving skills.
- Strong written and verbal communication skills, with experience collaborating across remote teams, ensuring clear, effective, and aligned outcomes.
Not mandatory, but is a plus:
- Experience with PostgreSQL or other relational databases.
- Experience with vector databases.
- Degree (BSc, MSc, PhD) with specialization in ML.
Working conditions
- Remote within +/- 2 hours of CET timezone or office in Berlin (relocation can be considered).
- In case of remote, employment using Employer-of-Record in the country of residence.
- Gross annual salary of 70-90k EUR annually with possibility to discuss other bands for Senior/Staff candidates.
- Employee stock options, learning and development stipend, regular team offsites, and more.
Contacts
Log In Only registered users can open employer contacts.
#J-18808-Ljbffr
Machine Learning Engineer Arbeitgeber: Open Data Science
Kontaktperson:
Open Data Science HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the specific machine learning models mentioned in the job description, such as transformers and LLMs. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Since the role involves deploying models on AWS SageMaker, consider brushing up on your AWS skills. Completing relevant certifications or online courses can demonstrate your commitment and expertise in cloud-based machine learning solutions.
✨Tip Number 3
Highlight any experience you have with data processing and standardization, especially from multiple sources. Being able to discuss specific challenges you've faced and how you overcame them will show your problem-solving abilities.
✨Tip Number 4
Since communication is key in remote teams, prepare examples of how you've successfully collaborated with others in a distributed environment. This could include tools you've used or strategies for ensuring clear communication.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position at Climatiq. Understand the responsibilities and requirements, especially the focus on models, data processing, and deployment.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 3+ years of experience in machine learning and software engineering. Be specific about your work with retrieval, ranking, and classification systems, as well as any experience with AWS SageMaker.
Showcase Communication Skills: Since strong written and verbal communication skills are essential, provide examples of how you've collaborated with remote teams. Mention any projects where you ensured clear and effective outcomes.
Tailor Your Application: Customize your application materials to reflect the company's values and the specifics of the role. Use keywords from the job description, such as 'multilingual data' and 'synthetic data generation', to demonstrate your fit for the position.
Wie du dich auf ein Vorstellungsgespräch bei Open Data Science vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with various machine learning models, especially transformers and LLMs. Highlight specific projects where you trained, optimized, and evaluated models, and be ready to explain the methodologies you used.
✨Demonstrate Problem-Solving Abilities
Since the role requires excellent problem-solving skills, come prepared with examples of challenges you've faced in previous projects. Discuss how you approached these problems and the innovative solutions you implemented.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with remote teams. Be ready to discuss how you ensure clear and aligned outcomes in your work.
✨Familiarize Yourself with Relevant Tools
Make sure you have a good understanding of the tools mentioned in the job description, such as AWS SageMaker, Flask, and MLFlow. If you have experience with PostgreSQL or vector databases, be sure to mention it, as it could set you apart from other candidates.
