Full-Time
Team Lead Forward Deployed AI Engineering
Rhino Federated Computing
11-50 employees
Federated AI platform for secure healthcare
No salary listed
H1B Sponsorship Available
Boston, MA, USA
In Person
Boston preferred; open to other locations for highly qualified candidates.
 Engineering Management (1) |
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- Experience of 5+ years in applied artificial intelligence, machine learning engineering, or machine learning operations roles, with experience deploying models in production environments.
- Lead the design and delivery of federated artificial intelligence solutions across imaging, text, and structured data domains.
- Design and implement federated training and inference pipelines, integrating data preprocessing, model orchestration, and artificial intelligence operations tooling.
- Own project execution from scoping to deployment — ensuring clarity, speed, and technical excellence.
- Partner directly with customers to understand workflows, map data ecosystems, and design scalable AI solutions.
- Serve as a trusted technical advisor on privacy-preserving machine learning, model optimization, and deployment best practices.
- Build long-term relationships that drive adoption and measurable outcomes for customer programs.
- Manage multiple concurrent engagements, balancing strategic leadership with hands-on problem-solving.
- Provide mentorship to Forward Deployed Engineers and Scientists, fostering a high-performance, learning-driven culture.
- Identify reusable solution patterns and contribute to the standardization of federated AI workflows.
- Surface customer insights and field feedback that shape Rhino’s roadmap.
- Collaborate with product and research teams to prototype and validate new federated learning research and frameworks.
- Industry experience in healthcare, biopharmaceuticals, financial services, and public sector.
- Ph.D. or Master of Science in a quantitative field (Computer Science, Engineering, Biomedical Informatics, Bioinformatics, Chemistry, or related).
- Prior experience deploying federated learning, privacy-preserving artificial intelligence, or secure distributed computing systems.
Rhino Health offers a federated computing platform for secure AI collaboration in healthcare and life sciences without moving patient data. The platform uses federated learning and edge computing to bring code to data, enabling hospitals, pharma, and research centers to train models across distributed datasets while preserving privacy and complying with HIPAA and GDPR. It covers the full AI lifecycle—data discovery, harmonization, model training, validation, and monitoring—accessible via a web interface or SDK, with Harmonization Copilot automating mapping of diverse data to a common model. By building a large network of clients and partnerships (Google Cloud, Nvidia), Rhino Health aims to accelerate accurate, equitable AI for drug discovery, disease prediction, and diagnostics in areas like oncology and radiology.
Company Size
11-50
Company Stage
Series A
Total Funding
$51.8M
Headquarters
Boston, Massachusetts
Founded
2020
Simplify's Take
What believers are saying
- Expanding into financial services via Google and Swift partnership for fraud prevention.
- Powering FAITE Biopharma Consortium for federated GenAI models in high-value biologics engineering.
- Series A momentum: $15M oversubscribed round (May 2025) signals strong enterprise demand for privacy-preserving AI.
What critics are saying
- Open-source federated frameworks commoditize core differentiation; enterprises build in-house solutions instead.
- Cloud hyperscalers integrate native federated learning, bundling Rhino's paid capabilities into core offerings.
- Customer concentration: loss of flagship accounts (FAITE, Sheba, Google) creates material revenue cliff.
What makes Rhino Federated Computing unique
- End-to-end federated AI platform with automated data harmonization via generative AI copilot.
- Enterprise-grade security: ISO 27001, SOC 2 Type II, HIPAA, GDPR compliant with role-based access control.
- Proven traction: trusted by 50+ hospitals, pharma companies, public sector organizations globally.
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Benefits
Hybrid Work Options
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 40%1 year growth
↑ 40%2 year growth
↑ 35%Rhino Federated Computing raises $15M Series A to expand its enterprise-grade federated AI platform for healthcare, life sciences, and financial services....
Google Cloud and Swift are working together to develop a secure, privacy-preserving solution for financial institutions that use federated learning techniques. Federated learning enables collaborative artificial intelligence (AI) model training without compromising privacy and confidentiality, Google Cloud said in a Tuesday (Dec. 10) blog post. Swift plans to roll out a sandbox with synthetic data in the first half of 2025, working with Google Cloud and 12 global financial institutions, according to the post
TELUS Global Ventures has invested in Homethrive and Rhino Health to enhance elderly support management and healthcare data analysis. These investments aim to create a more efficient, patient-centric care ecosystem. Homethrive, based in Illinois, combines human expertise with digital solutions for caregiving, while Boston-based Rhino Health focuses on healthcare AI. This brings TELUS Global Ventures' portfolio to over 150 companies, supporting transformative care solutions.
The Securities and Exchange Commission has not necessarily reviewed the information in this filing and has not determined if it is accurate and complete.The reader should not assume that the information is accurate and complete.
The Securities and Exchange Commission has not necessarily reviewed the information in this filing and has not determined if it is accurate and complete.The reader should not assume that the information is accurate and complete.