Senior Applied-ML Engineer
Senior Applied-ML Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
About Mandolin
Nearly all disease will become treatable in our lifetimes and drug discovery is quickly becoming an engineering discipline. Mandolin is building the last-mile delivery infrastructure that gets cutting-edge biologics cell and gene therapies to patients faster. Our AI-powered knowledge-worker platform already serves leading infusion clinics with payers and pharma next in line.
Were backed by Greylock SignalFire Maverick and founders of famous companies like Yahoo and led by repeat and exited founders with a team hailing from some of the most technically impressive companies.
Why this role matters
Our copilots handle 80 % of clinic back-office workload today. Reaching 99 % means:
capturing the long-tail edge cases that bury teams in rework
pushing the latest foundation models to their accuracy and cost limits and
proving every improvement with airtight regulator-ready evaluation.
We need an applied-ML architect who has already built this bridge from impressive demo to lights-out production. You will design the core ML infrastructure that turns Mandolin from helpful copilot into true autopilotwhere work closes itself and clinicians only handle the exceptions.
What youll own
Full ML lifecycle. Architect HIPAA-compliant pipelinesdata capture training inference human-in-the-loop feedbackto hardening and rollout.
Model strategy. Select or fine-tune SOTA vision language and multimodal models; apply LoRA RAG distillation or quantization when ROI is clear.
Evaluation harnesses. Build automated statistical tests that surface long-tail failure modes and quantify business impact before any deploy.
Performance engineering. Drive latency throughput and dollar-per-task down across GPU CPU and serverless footprints.
Product integration. Pair with forward-deployed engineers to turn field discoveries into new datasets metrics and rapid model iterations.
Technical leadership. Mentor a junior ML engineer and establish best-in-class tooling conventions and review culture for the ML function.
Must-have experience
5 years shipping ML systems (vision NLP or multimodal) that serve live traffic.
Expert Python plus PyTorch or JAX; comfortable with distributed training and experiment tracking.
Track record of taking a research spike to a monitored fault-tolerant low-latency service.
Deep understanding of eval design ablations and statistical significance in noisy real-world data.
Fluency with modern foundation-model techniques: LoRA/PEFT RAG vector search structured prompts model compression.
Bias toward measurable impact and disciplined rollout in regulated or high-reliability domains.
Nice-to-haves
Healthcare document understanding or complex form-extraction experience.
Production work on Vertex AI Kubeflow or similar cloud ML stacks.
Open-source contributions peer-reviewed research or public technical writing.
Required Experience:
Senior IC
Employment Type
Full-Time
