Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative algorithms for data curation and improve the methodology for pre-training corpora, while working on scalable pipelines and analyzing various ML experiments.
Job Technologies
Your role in the team
- As a Senior AI Researcher for Pre-training Data, you will shape and improve the underlying scientific methodology behind our pre-training corpora while also co-engineering the software and systems that enable this.
- Working with engineers and other researchers to build scalable pipelines, you will focus on relevant theoretical and empirical research required to understand which data makes models perform best on our targeted capabilities.
- In your day-to-day, you will design targeted ablations across various scales, derive and test hypotheses from training dynamics, develop novel algorithms for estimating data quality and performing data curation, and contribute to a range of engineering tasks which facilitate these research directions.
- Together with a collaborative team of engineers and researchers, you will have a direct impact on the fundamental knowledge and capabilities of the models we ship.
- You will also help or lead the writing of technical reports for internal and external readers, as well as presenting at and contributing to technical meetings and conferences on an as-needed basis.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- A deep understanding of machine learning theory, specifically regarding foundation model training dynamics, scaling laws, and data-centric AI.
- Vertrautheit mit statistischen Methoden für Evaluierung und Versuchsplanung.
- Ability to reason about the information-theoretic properties of a dataset and its predictive power for evaluated tasks: not just processing data, but understanding its signal.
- Strong Python skills and comfort with ML tooling and deep learning frameworks (especially PyTorch).
- Willingness to relocate to Heidelberg or travel at least fortnightly.
- A history of contributions to top-tier venues (NeurIPS, ICML, ICLR, ACL, etc.) specifically regarding data curation, scaling laws, synthetic data, or LLM pre-training.
- Bonus, but not required: German language proficiency can be helpful for curating and assessing German-language data.
Experience
- Experience designing and evaluating complex ML experiments related to data composition, curriculum learning, or data quality on language model training.
- PhD in machine learning, NLP, or equivalent research experience focusing on large-scale language modeling or data curation.
- Experience in training foundation models from scratch and diagnosing data-induced training pathologies.
This text has been machine translated. Show original
What we offer
- 30 days of paid vacation.
- Access to a variety of fitness & wellness offerings via Wellhub.
- Mental health support through nilo.health.
- Substantially subsidized company pension plan for your future security.
- Subsidized Germany-wide transportation ticket.
- Budget for additional technical equipment.
- Flexible working hours for better work-life balance and hybrid working model.
- Virtual Stock Option Plan.
- JobRad Bike Lease.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Aleph Alpha
As a German AI startup based in Heidelberg, Aleph Alpha focuses on the development of large language models and generative AI. It offers solutions for companies looking to build their own AI capabilities and protect their data.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior AI Researcher
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
