Kehittynyt ML-insinööri (tekoälytutkimus)

Arvioitu 1 vertailukelpoisen ilmoituksen perusteella

Arvioitu 2026 nettopalkka Suomen tuloveron, eläkevakuutusmaksun ja työttömyysvakuutusmaksun jälkeen. Laskelmassa käytetään koko maan keskimääräistä kunnallisveroprosenttia (7.57 %), ei kirkollisveroa ja vain vakiovähennyksiä. Todellinen nettopalkkasi riippuu kunnastasi, kirkon jäsenyydestäsi, iästäsi ja perhetilanteestasi.

• Conduct experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report