Tenstorrent
Technology
Sr.StaffMachineLearningResearcher-ModelTraining&Optimization
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Staff Machine Learning Researcher - Model Training & Optimization at Tenstorrent. Skills: Machine Learning, Model Training, Model Optimization, Research. Conduct research on model training and optimization. Develop and implement novel algorithms”
Industry & Context.
What They're Looking For.
Must Have
4+ years of experience, PhD in Computer Science, Proficiency in SQL
Nice to Have
Experience with PyTorch, Experience with TensorFlow, Experience with Hugging Face, Experience with MLflow, Experience with scikit-learn, Experience with XGBoost, Experience with LightGBM, Experience with dbt Cloud, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Fivetran, Experience with Airflow, Experience with AWS, Experience with GCP, Experience with Azure, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Conduct research on model training and optimization
Develop and implement novel algorithms
Optimize existing machine learning models
Collaborate with engineering teams
Stay current with ML research
How You'll Work.
Team & Collaboration
Engineering teams
Full Job Description
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation AI systems that push the boundaries of model training, inference, and large-scale distributed compute. The ML Models team sits at the intersection of cutting-edge AI research and high-performance hardware, bringing state-of-the-art machine learning models to life on Tenstorrent’s custom AI accelerators. From training large language models to optimizing inference performance at scale, this team works across the full stack to turn breakthrough research into production-ready AI systems. If you are passionate about model training, ML systems optimization, and advancing the frontier of AI research, this is an opportunity to shape how future AI models are developed and deployed. This role is hybrid, based out of Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Strong Python and PyTorch experience developing and training deep learning models. Deep understanding of ML architectures, LLM training, and inference optimization. Hands-on experience training large-scale machine learning models. 4+ years of industry and/or academic experience in ML research and LLM development. PhD, published research, or experie
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