--- title: 'Senior/Staff Machine Learning Engineer (Tech Lead, Model Dev) at Artera' canonical: 'https://feeny.ai/job/senior-staff-machine-learning-engineer-tech-lead-model-dev-artera-united-states-szshq40nhmkq' type: 'job' last_seen: '2026-10-14' --- # Senior/Staff Machine Learning Engineer (Tech Lead, Model Dev) at Artera - **Company:** Artera - **Location:** United States - **Compensation:** $180k–$260k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-18 - **Last confirmed live:** 2026-10-14 - **Apply:** https://jobs.lever.co/artera/5263bd60-3a9c-4686-ba86-2a00201c0cf0 ## Job description About Us: Artera is an artificial intelligence company dedicated to transforming cancer care. We’ve developed foundation models that analyze clinical and pathology data, generating actionable insights that guide therapy selection and improve outcomes for cancer patients. By continuously improving these models, we aim to uncover the biological mechanisms driving cancer progression. We're looking for an experienced machine learning engineer and technical lead to own AI biomarker development end to end — from problem framing with clinical and biostatistics partners, through model development and validation, to regulatory submission and production deployment. You'll provide technical direction for complex, cross-functional programs, mentor other ML scientists and engineers, and drive decisions across the model-development lifecycle. Beyond owning a biomarker program, you'll take on the hardest cross-cutting problems in our field: robustness across scanners and sites, mechanistic interpretability of model decisions, and the next generation of our pathology foundation models. Essential Responsibilities: - Serve as the technical lead for patient-facing AI products, defining the technical strategy and driving execution in partnership with product, biostatistics, clinical development, and regulatory/quality. - Design and build AI-based biomarkers on multimodal data — including whole-slide images, clinical variables, and molecular data — to predict patient outcomes, treatment benefit, and molecular traits. - Advance our core self-supervised foundation models and the downstream architectures built on them (multiple-instance learning, time-to-event / hazard models, segmentation and classification components), with generalization as a first-order objective. - Own score reproducibility across scanners, institutions, staining protocols, and patient populations. - Develop and integrate mechanistic interpretability methods to explain model decisions, build clinician trust, and drive actionable model improvements. - Architect tools and processes that streamline the end-to-end model development lifecycle — from prototyping through production deployment and monitoring — ensuring efficiency, reproducibility, regulatory compliance, and scale. - Author and defend regulatory and quality documentation, and represent AI in design and development reviews. - Lead technical planning and delivery: break multi-quarter programs into milestones, manage dependencies across AI, platform, biostatistics, and clinical teams, surface risks early, and hold submission and launch dates. - Publish in peer-reviewed journals and present at clinical and ML venues; support external academic and industry collaborations. - Provide technical leadership and mentorship to machine-learning scientists and engineers, fostering their technical growth and collaboration skills, and raise the bar on scientific rigor, code quality, and written communication across the team. Experience Requirements: - 5+ years of industry experience building deep learning systems in PyTorch (or TensorFlow). - 2+ years serving as a technical lead for complex machine-learning programs, including making technical decisions, coordinating work across engineers / scientists and cross-functional partners, and launching and monitoring ML products in production environments. - Demonstrated depth in oncology and biomarker development: familiarity with cancer biology and treatment pathways, clinical endpoints, risk stratification, and what makes a biomarker clinically actionable. - Demonstrated ability to lead complex technical programs — scoping problems, technical direction, sequencing work, and managing dependencies and risk across multiple teams on dated deliverables. - Proven ability to communicate complex ML concepts effectively to cross-functional, non-ML collaborators. - Experience mentoring or managing ML scientists and engineers. Desired: - Experience building ML on complex clinical data — medical imaging, multi-omics, or longitudinal patient records — including weakly supervised learning and handling variation across sites, devices, and protocols. - Experience developing ML in a regulated environment — FDA 510(k)/De Novo, CE/UKCA, SaMD, design controls, or CLIA/LDT validation. - Experience with self-supervised representation learning (e.g., DINOv3) and adapting medical foundation models to downstream clinical tasks. - Experience with data from randomized controlled trials and multi-institutional clinical cohorts. - Peer-reviewed publications and conference presentations; history of external academic or industry collaborations. - Experience with cloud-scale training and workflow orchestration (e.g., Flyte / Union, Kubernetes, AWS), experiment tracking, and reproducible ML pipelines. Equal Employee Opportunity:At Artera, we value bringing together individuals from diverse backgrounds to develop new andinnovative solutions for patients and physicians. As an equal opportunity employer, we do notdiscriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy),physical or mental disability, medical condition, genetic information gender identity orexpression, sexual orientation, marital status, protected veteran status, or any other legallyprotected characteristic. ## About Artera ## Company Overview - **One-liner**: Artera provides an AI-powered agentic platform that helps healthcare providers improve patient communication across voice, text, and web. - **Entity Type**: Private (funding stage not publicly disclosed) - **Headquarters**: Santa Barbara, California, USA - **Founded**: 2015 - **Founders**: Guillaume de Zwirek (CEO & Co-founder) ## Core Business - **Primary industry**: Healthcare IT / Patient Communication / AI Agents - **Target customers**: B2B – specialty groups, clinics, Federally Qualified Health Centers (FQHCs), large Integrated Delivery Networks (IDNs), and federal agencies - **Mission or purpose**: Making healthcare #1 in customer service by fostering better communication between providers and patients. ## Products & Services - **[Artera Harmony Platform](https://artera.io/)**: An agentic AI platform that coordinates AI agents (voice and text) across the full patient journey. Includes dedicated AI Service Squads that build custom solutions tailored to each provider’s workflows. Supports front and back office solutions for scheduling, reminders, follow-ups, and more. Type: SaaS / AI platform. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Trusted by 1,000+ provider organizations, engaging 100 million patients annually; 20B+ patient interactions processed. - **Notable Investors/Partners**: Not publicly listed (integrations with major EHRs mentioned) - **Growth Signals**: 65% task completion rate for AI agent sessions; 4.7/5 average patient satisfaction (G2); Named #1 in Patient Communications 2026; 11+ years of healthcare-specific experience; FedRAMP High certification (Class D) ## Competitive Advantages - **Deep healthcare roots**: 11 years focused exclusively on healthcare, not a pivot from another industry. - **Custom AI Service Squads**: Instead of a generic SaaS, Artera pairs its platform with dedicated experts who build tailored solutions for each provider’s workflows. - **Best-in-class security**: SOC 2 Type 2, HITRUST Certified, HIPAA Compliant, FedRAMP High – meeting the most rigorous government and enterprise security standards. - **Proven scale**: 20B+ real patient communications power the AI models, giving them a data advantage over newcomers. ## Strategic Focus - Expanding agentic AI capabilities to cover the entire patient journey, from front-office scheduling to back-office follow-ups. - Deepening integrations with major EHRs and scaling custom solutions for diverse healthcare settings (specialty, FQHC, health system, federal). - Continuing to invest in AI-first internal culture and product innovation. ## Why Work Here - **Culture**: Celebratory, supportive environment with Trivia Tuesday, puppy Slack channels, peer recognition, themed competitions, hackathons, and nine Employee Resource Groups (ERGs) fostering inclusion. - **Work model**: Hybrid with hub cities (Santa Barbara, Los Angeles, Bay Area, Kansas City, Philadelphia, Seattle, Denver, Chicago, Boston, Budapest) plus remote roles available globally. - **Perks & benefits**: Flexible PTO (no accrual), comprehensive health plans ($0 copay for mental health and family planning on most plans), company equity for full-time employees, 12 weeks paid parental leave (birthing and non-birthing), food delivery for first 30 days after welcoming a child, child care reimbursement, and customized learning & development programs. - **AI-first environment**: Employees work in an innovative, AI-first setting where AI builders collaborate directly with customers. ## Sources 1. [Artera Careers Page](https://artera.io/careers/) 2. [Artera Company Page](https://artera.io/company/) 3. [Artera Homepage - AI Agents for Healthcare](https://artera.io/) 4. [Life at Artera: Innovation, Impact, and the Team Behind It](https://artera.io/resource/life-at-artera/) 5. [Artera Job Openings on Lever](https://jobs.lever.co/artera) ## Other roles at Artera - [Machine Learning Engineer (Model Dev)](https://feeny.ai/job/machine-learning-engineer-model-dev-artera-united-states-jr9w1ek3h9dt) — United States - [National Sales Director (Breast Cancer)](https://feeny.ai/job/national-sales-director-breast-cancer-artera-united-states-nh3ph9560azf) — United States - [Sales Account Executive (Oregon)](https://feeny.ai/job/sales-account-executive-oregon-artera-united-states-w4bvaeegbyjw) — United States - [Senior/Staff/Principal Software Engineer - Python](https://feeny.ai/job/senior-staff-principal-software-engineer-python-artera-united-states-ez11147qryrc) — United States - [Chief Medical Officer (CMO)](https://feeny.ai/job/chief-medical-officer-cmo-artera-united-states-brqc6x6849yn) — United States