Senior Machine Learning Research Scientist

RoleAs a Senior Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML RD for SmarterDx and establish shared infrastructure to accelerate research efforts across the team. What You'll DoInvent and deploy state-of-the-art machine learning algorithmsShare insights and breakthroughs through publications in top-tier conferences, journals, blog posts, and other mediums to showcase your workSurvey and share relevant AI/ML research and emerging technologies within the company to help others stay abreast of important trendsEstablish and own an ambitious research agenda with regular milestonesFrequently present your work internally and solicit feedback from other machine learning research scientists, data scientists, engineers, and cliniciansProvide constructive feedback to other ML research scientists on the teamCollaborate cross-functionally with clinical, engineering, and product teams to understand key needs and prioritize research accordinglyWork in a fast-paced and rewarding environment that demands high quality work with minimal supervisionCollaborate cross-functionally with engineering to assist in configuring the correct infrastructure for training and inferenceCollaborate cross-functionally with engineering, data engineering, data analytics and data science to evaluate models in production, troubleshoot and update models based on real world results What You BringDeep “under-the-hood” understanding of modern neural network architectures and distributed training. You can explain the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, tensor parallelism vs pipeline parallelism vs data parallelism, gloo vs mpi vs nccl, CUDA, Triton, etc. Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc. Ability to create high-quality machine learning research, as demonstrated through first-author publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, arXiv)Understanding of recent and relevant AI/ML research trends and ability to quickly assess the quality of published ML researchAbility and desire to translate research into productionAbility to communicate clearly, as evidenced by blog posts, conference talks, published research papers, etc. Nice To HavesPh. D. (or Master’s degree with 3+ years experience) in Computer Science, Biomedical Informatics, Mathematics, Electrical Engineering, or a related field with an AI/ML focusOur Tech StackPythonPyTorchSagemakerSnowflakeCompensation$200-220k base salary + equity incentivesBenefitsMedical, Dental Vision – Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan. One Medical Membership – Free membership included if you enroll in a SmarterDx medical plan. Paid Parental Leave – Up to 12 weeks of paid leave for birth or adoption. Remote-First Team – Work from anywhere in the U. S. with a $400 home office reimbursement stipend. Unlimited PTO 10 Holidays – 4 of which include floating holidays so you can recognize the days that matter most to you. Learning Development Budget – $500 per year (prorated) for courses, books, and resources to expand your skills.401(k) with Traditional Roth Options – Tax-advantaged retirement savings through Empower. Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters. Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues. Originally posted on Himalayas Apply To this Job