ai research engineer (language models)

توضیحات آگهی

About Digipol DIGIPOL is a company that exists to modernize traditional industries and outdated workflows driving real sector wide transformation We help established businesses enter and thrive in e commerce while also pushing digital native players to perform even better Our work cuts deep accelerating innovation lifting customer experiences and shoring up business fundamentals To get there we keep hierarchy flat teams small and talent dense We move with the ambition and speed of a startup and we treat AI as a working partner so human insight and machine intelligence constantly sharpen each other The Opportunity As an ML Scientist focused on post training you will improve the capabilities and behavior of small language models for the Farsi language You will own the full experimental loop identifying model weaknesses developing data and training strategies running controlled experiments evaluating results and turning successful ideas into high quality checkpoints and reusable methods You will work closely with DIGIPOL s research and infrastructure teams Signals from real deployments will give you concrete difficult problems to solve your work will translate those signals into broader improvements in model quality reliability and usefulness This is a role for a scientist who builds Strong ideas matter but so do careful data work reliable implementations and measurable improvements in working models What We re Looking For We need someone who Thinks experimentally You form clear hypotheses establish strong baselines design informative ablations and let evidence guide the next step Understands models through data You can identify gaps in training data and design curation filtering generation and supervision strategies to address them Owns the full post training loop You are comfortable moving between datasets training evaluation error analysis and implementation Builds with rigor Your experiments are reproducible your conclusions are well supported and successful research can be integrated into shared systems Collaborates across boundaries You communicate clearly with research engineering and applied teams The Work Design and execute post training strategies for language and multimodal models including supervised fine tuning preference optimization reinforcement learning and distillation Build and curate high quality training data using human synthetic and model generated signals with particular attention to Farsi language and domain specific capabilities Develop evaluations that expose meaningful capability and reliability gaps across Farsi and global use cases Conduct systematic error analysis and use the results to improve data mixtures objectives training methods and model behavior Run controlled experiments and ablations interpret results and communicate clear recommendations Develop reliable scalable training and evaluation pipelines in collaboration with model infrastructure teams Contribute methods tooling datasets and findings that accelerate post training work Desired Experience Must have Hands on experience post training small language models or multimodal models Strong understanding of fine tuning fundamentals and current post training and RL methods Solid engineering skills and proficiency with the open source ML ecosystem Experience building curating or assessing training and evaluation data Ability to turn research ideas into reliable implementations and measurable model improvements Proficiency in English including the ability to collaborate on complex technical work with other teams Experience leveraging agents to amplify your own work Nice to have Experience with SFT DPO or RL methods for foundation models Experience post training multimodal models involving text vision or audio Experience developing synthetic data pipelines reward models verifiers or model based evaluations What Success Looks Like You deliver checkpoints with clear measurable improvements on important Farsi and domain specific capabilities You establish evaluations and error analysis practices that reliably identify model weaknesses and guide post training priorities You develop data or training methods that become part of our repeatable post training workflow You run high quality experiments at increasing scale and turn the results into clear technical decisions Your work materially influences our model roadmap and improves systems used in real deployments What we offer Incredibly talented entrepreneurial teams in small result oriented squads An exceptional opportunity for growth and unlimited backing for learning Flexible hours remote working Commitment contract Permanent or fixed term Part time The selection process We prioritize verifiable excellence and demonstrated ability over seniority or a flawless CV So if you like the role and believe you can grow into it don t self reject Degrees and publications aren t required and we encourage you to apply even if your experience doesn t check every box If you pass our screening you ll be asked to complete one or more tests We set the bar high and won t extend an offer until we re confident we ve found the right candidate Thank you for considering joining DIGIPOL If you re excited about pushing the boundaries of AI and improving human computer interaction please apply now تهران تهران تجریش پاره وقت دیجی پل کارشناس جنسیت تفاوتی ندارد فناوری اطلاعات نرم افزار و سخت افزار