Member of Technical Staff, Computational Pathology
Design, implement, and evaluate novel ML models for computational pathology to predict patient outcomes. Requires PhD in ML, computer vision or statistics, strong publication record, and expertise in PyTorch.
100k – 300k
On-siteEntry levelAI Research
About the role
Responsibilities
Design and implement novel machine learning models and methods for computational pathology.
Translate machine learning and statistics papers into production-ready code.
Build robust model evaluation frameworks and monitor model performance.
Disseminate the results by co-authoring research papers and abstracts.
Collaborate with a multidisciplinary team of engineers and scientists.
Co-mentor junior members of the team.
Qualifications
PhD degree in machine learning, computer vision or statistics.
Passion for research, attention to detail and ability to drive tasks to completion.
Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR) or top journals.
Excellent understanding of core machine learning concepts.
Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
Excellent skills in Python and PyTorch.
Experience in deep learning and computational pathology.
Experience in self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference or model interpretability is a bonus.
Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.
100k – 300k
On-siteEntry levelAI Research
Member of Technical Staff, Translational Science
Ataraxis AINew York, NY
Member of Technical Staff generating clinical insights from multi-modal AI models for precision medicine in oncology. Requires MD/PhD, lead authorship on high-impact papers, ML knowledge, and Python skills.
100k – 300k
On-siteAI Research
Member of Technical Staff
ModalNew York, NY +1
Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.
150k – 350k
On-siteAI Research
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DeepgramCalifornia
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150k – 250k
RemoteAI Research
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DeepgramCalifornia
Pioneers Latent Space Models to solve core challenges in voice AI, developing neural audio codecs, generative speech models, and scalable multimodal systems. Requires strong expertise in statistical learning, foundation models, and bridging theory to efficient deployment.