SmarterDx - Staff Machine Learning Research Scientist
Requirements
• Strong track record of ML research, ideally with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, etc.) • Proven ability to distinguish high-quality vs low-quality research, especially in fast-moving areas like LLMs • Deep understanding of LLM failure modes, particularly hallucinations, and how to evaluate and mitigate them • Experience designing rigorous evaluation frameworks and building high-quality test datasets • Strong intuition for dataset quality, bias, and benchmark design (data-centric AI mindset) • Hands-on experience training large-scale deep learning models (multi-GPU / distributed systems) • Deep understanding of modern neural architectures (transformers, SSMs, encoder/decoder models, etc.) • Strong programming skills in Python and ML frameworks such as PyTorch or JAX • Experience deploying ML models into production systems and monitoring their performance • Clear and proactive communicator, able to explain complex ideas and critique work effectively • Experience with inference optimization techniques (e.g., vLLM, KV caching, speculative decoding) • Familiarity with MLSys concepts (parallelism strategies, distributed training infrastructure) • Experience working with clinical or healthcare data • Background in retrieval systems, graph-based learning, or multimodal modeling • PyTorch, Hugging Face Transformers, Python • AWS (MWAA), Kubernetes, SLURM • DeepSpeed, TorchTune • Snowflake, Airflow, GitHub
Responsibilities
• Lead end-to-end ML research, from idea generation to production deployment and monitoring • Design, implement, and evaluate novel methods for LLM alignment on proprietary clinical data • Develop and rigorously evaluate approaches for hallucination detection, attribution, and model reliability • Build and curate high-quality datasets, with a strong emphasis on evaluation design and benchmark integrity • Critically assess academic literature to identify strong vs weak methods, and translate the best ideas into practice • Establish best practices for experimental design, including statistically sound evaluation and reproducibility • Collaborate cross-functionally with engineering to productionize models (MLOps, infra, deployment) • Develop methods for long-context and multimodal modeling (structured + unstructured clinical data) • Mentor other researchers and help raise the bar for research quality across the team • Contribute to external presence through papers, talks, and recruiting
Benefits
• Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan. • Medical, Dental & Vision • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents. • Paid Parental Leave • Remote-First Team – Work from anywhere in the U.S. • Remote-First Team • Unlimited PTO & 10 Holidays – So you can relax and recharge. • Unlimited PTO & 10 Holidays • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match. • 401(k) with Traditional & Roth Options • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters. • Minimal Bureaucracy • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues. • Incredible Teammates!
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