Azure Confidential Computing Gpu Jobs in Usa

Position Summary:

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team.

The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing’s computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list).

To meet Sinai’s scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers

This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data.

Key Responsibilities:

HPC Cybersecurity & System Administration:

• Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.).
• Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing.
• Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency.
• Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members.
• Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research.
• Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc.
• Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently.
• Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment.
• Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources.
• Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai.
• Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization’s infrastructure up-to-date.
• Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai.
• Provide after-hours support as needed.
• Perform other duties as assigned or requested.

Requirements:

• Bachelor’s degree in computer science, engineering or another scientific field. Master's or PhD preferred.
• 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment.
• Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc.
• Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare).
• In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system
• Experience with secure enclaves and confidential computing.
• Proven ability to provide mentorship and technical leadership to team members.
• Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance.
• Excellent analytical ability and troubleshooting skills.
• Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused.
• Scripting and programming experience.

Preferred Experience

• Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures.
• Experience with Azure, AWS or Google cloud services.
• Experience with LSF job scheduler and GPFS Spectrum Scale.
• Experience in a healthcare environment.
• Experience in a research environment is highly preferred.
• Experience with software that enables privacy-preserving linking of PHI.
• Experience with Globus data transfer.
• Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

UCF IT:

UCF IT is the central information technology organization at the University of Central Florida, providing technology services and support to faculty, staff, and students. With a focus on innovation, security, and excellence in service delivery. UCF IT supports the university's mission of teaching, learning, research, and community engagement. For more information about UCF IT, visit .

The Opportunity:

UCF Information Technology (UCF IT) is seeking a Cloud Computing Engineer I to join the Infrastructure team and apply technical expertise to maintain UCF's cloud computing environment. The Cloud Computing Engineer I will support cloud infrastructure across AWS, Azure, VMware, and Google Cloud, with a focus on software-defined networking and zero-trust architectures.

The Cloud Computing Engineer I will follow documentation and best practices, consult with internal customers on new projects and implementations, and collaborate with multiple teams and departments during new Azure cloud initiatives.

Responsibilities:

• 
  

• Respond to service requests and incidents related to Azure cloud infrastructure. Fulfill routine infrastructure requests including virtual machine provisioning, storage allocation, and network configurations. Troubleshoot basic issues and escalate complex problems to senior engineers as appropriate.

  
  

• Perform routine infrastructure builds and deployments in Azure, including virtual machines, virtual networks, storage accounts, and other cloud resources. Follow established templates, runbooks, and best practices to ensure consistent and secure deployments across environments.

  
  

• Monitor cloud infrastructure performance, availability, and cost metrics using Azure Monitor, Log Analytics, and related tools. Build and maintain dashboards to visualize key performance indicators. Alert appropriate teams when thresholds are exceeded or anomalies are detected.

  
  

• Use and help maintain script repositories for common Azure functions using PowerShell, Terraform, and other Infrastructure as Code tools. Execute automation scripts for routine tasks, contribute to script improvements, and document procedures for team use.

  
  

• Adhere to UCF Infrastructure ITIL processes, such as request and change management procedures, ensuring all planned changes are properly reviewed, documented, and communicated. Coordinate with stakeholders to minimize disruption and ensure smooth implementation of changes.

  
  

• Maintain accurate and up-to-date documentation of cloud configurations, procedures, standards, and operational guidelines. Contribute to internal knowledge-sharing initiatives by creating and updating technical documentation in the team wiki and knowledge base.

  
  

• Assist with cloud security and compliance tasks, including reviewing access permissions, supporting audit requests, and helping to remediate findings from security assessments. Follow established security policies and best practices for Azure environments.

  
  

Minimum Qualifications:

Bachelor's degree; or High School Diploma (or equivalent) and 4 years of relevant work experience in lieu of degree oran equivalent combination of education and experiencepursuant toFla. Stat. 112.219(6).

Preferred Qualifications:

• 
  

• Experience supporting Azure cloud infrastructure, including virtual machines, storage, and virtual networks.

  
  

• Proficiency using Azure Monitor, Log Analytics, and dashboard creation for performance and cost monitoring.

  
  

• Ability to troubleshoot Azure infrastructure issues and escalate appropriately within a support tier model.

  
  

• Familiarity with ITIL processes, especially request, incident, and change management.

  
  

• Ability to follow established runbooks, templates, and deployment standards to ensure consistent, secure cloud builds.

  
  

• Hands-on experience with PowerShell, Terraform, or other Infrastructure as Code (IaC) tools for automation and script maintenance.

  
  

The most successful candidates may possess the following qualities:

• 
  

• Strong documentation skills, including maintaining configuration records, technical procedures, and knowledge base articles.

  
  

• Understanding of cloud security principles, access management, and compliance requirements within Azure environments.

  
  

Special Instructions to the Applicants:

The anticipated salary range for this position is $56,030 to $60,000. The final salary will be determined based on the candidate's qualifications, experience, and internal equity considerations.

If you are selected as the final candidate for an employment opportunity, both your position and salary will be significantly based upon the information that you have provided in your application for employment. We urge you to please take the time to complete the application in its entirety.

Applicant must be authorized to work for any U.S. employer, as sponsorship is not available for this position now or in the future.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation,you'llplay an integral role at one of the most impactful universities in the country.You'llbe met with opportunities to connect and collaborate with talented faculty, staff, and students across 12colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow,you'llwork alongside talented colleagues on complex projects that will challenge you and help you gain new skills,andyou'llhave countless rewarding experiences that go well beyond a paycheck.

Working at UCF has itsperks!UCF offers:

• Benefitpackages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program

• Paid time off, including annual and sick time off and paid holidays

• Retirement savings options

• Employee discounts, including tickets to many Orlando attractions

• Educationassistance

• And more...For more benefits information, view theUCF Employee Benefits Guide.

Dive intoourTotal Rewards Calculatorto discover the diverseselectionavailable to you, giving you a glimpse into the benefits that together shape your comprehensive rewards package at UCF.

Unless explicitlystatedon the job posting, it is UCF's expectation that an employee of UCF willresidein Florida as of the date the employment begins.

Department

Work Schedule

Type of Appointment

Expected Salary

Job Posting End Date

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

The Enterprise Application Architect is responsible for defining and driving the product’s technical vision using Azure cloud-based solutions and event-driven architectures. This role requires a big-picture mindset, leveraging architectural best practices in software design and implementation to guide teams toward successful productization.

The ideal candidate has strong experience designing and building scalable cloud solutions grounded in Domain-Driven Design (DDD) principles and Microservices architecture within a highly collaborative Agile environment. Deep expertise in the .NET technology stack is essential, as you will work closely with engineering leads to ensure accurate and high-quality implementation.

The Enterprise Application Architect is expected to continuously expand their knowledge of emerging Azure capabilities and proactively integrate relevant services into the platform. Strong communication skills are critical, with the ability to clearly articulate technical concepts and architectural decisions to both technical teams and leadership.

Responsibilities

• Design and develop highly scalable, cloud-native applications on the Azure platform, leveraging modern paradigms such as microservices, serverless computing, and containerization using core services including Azure Functions, AKS, Azure Service Bus, Stream Analytics, Azure IoT, and Azure SQL.
• Provide technical leadership to feature teams during design, support developers throughout implementation, and guide DevOps teams during deployment.
• Define and evolve cloud application architecture; assess technical feasibility; conduct product design reviews with engineering leads and team members.
• Develop deep domain expertise and identify, analyze, and resolve architectural weaknesses, including scalability bottlenecks, domain modeling issues, and application-level conflicts.
• Stay current with industry trends and emerging technologies, applying optimal design patterns to ensure highly available, resilient, and scalable solutions.

Requirements

• Bachelor’s degree in a technical field or 10+ years of equivalent professional or military experience preferred.
• Master’s degree in Computer Science, Engineering, or a related field preferred.
• Minimum seven (7) years of hands-on experience architecting, designing, and developing enterprise-scale, cloud-based software solutions within an Agile environment.
• Strong proficiency in designing and building applications using ASP.NET Core and modern cloud paradigms, including containers and serverless technologies.
• Minimum five (5) years of C#/.NET development experience with deep expertise in ASP.NET Core.
• Proven experience architecting highly available, horizontally scalable systems.
• Hands-on experience designing and managing release processes, code merging and promotion strategies, CI/CD pipelines, and configuration management.

Technical Expertise

• Domain-Driven Design (DDD), Event-Driven Architecture, distributed systems
• Microservices and Micro-frontend architectures
• ASP.NET Core, RESTful APIs, API Management
• Azure Functions, Logic Apps, Azure Integration Accounts, Azure Stream Analytics
• Container platforms and Azure Kubernetes Service (AKS)
• Identity and Access Management (Azure AD, Azure AD B2C, OAuth2)
• Azure SQL and NoSQL solutions, including Azure Table Storage
• Azure IoT, ARM templates, DevOps pipelines, CLI scripting (preferred)
• Cloud monitoring tools such as Azure Log Analytics, Azure Monitor, and Application Insights
• Enterprise Architect modeling (preferred)
• Experience with D365 CRM, React, and Progressive Web Applications (preferred)

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Job Description:

Principal Azure Engineer, Platform & Delivery:

The Principal Azure Engineer, Platform & Delivery is a senior technical leader responsible for designing, building, and delivering enterprise-scale Microsoft Azure solutions. This role combines deep hands-on Azure engineering expertise with ownership of delivery outcomes, often serving as the technical lead for initiatives without dedicated project management. The ideal candidate can translate complex or ambiguous business needs into secure, scalable Azure solutions and ensure they are executed predictably and effectively.

Required Qualifications:

• Deep technical experience designing and operating high-availability, scalable infrastructure including networking, storage, virtualization, and identity.
• Developing and maintaining automated deployment modules using tools like Terraform or ARM templates.
• Optimizing delivery pipelines (e.g., Azure DevOps, GitHub Actions) to ensure repeatable, secure platform services.
• Proven experience implementing enterprise Azure networking architectures.
• Experience migrating and modernizing workloads from on-premises environments to Azure.
• Implementing governance frameworks, RBAC, and security baselines using Microsoft Defender for Cloud and Azure Policy.
• Demonstrated ability to lead engineers and influence stakeholders without formal authority.
• Experience defining and implementing monitoring and observability solutions.
• Lead end-to-end delivery of multiple concurrent Azure initiatives from intake and design through implementation and operational handoff.
• Act as the technical project lead for Azure initiatives where no formal project manager is assigned.
• Maintain visibility into all in-flight Azure work and provide regular status updates, risk reporting, and summaries.
• Coordinate work across infrastructure, security, networking, application, and vendor teams.
• Proactively identify delivery risks and blockers and drive resolution to keep initiatives moving forward.
• Balance speed, cost, risk, and compliance when making technical and delivery tradeoff decisions.
• Mentor and guide engineers, establishing technical standards, patterns, and best practices.
• Produce high-quality technical documentation, architectural artifacts, and operational runbooks.
• Foster strong partnerships with application teams to enable successful Azure adoption.

Additional Skills and Experience:

• Deep proficiency in Azure compute (VMs, AKS), storage, networking (VNETs, NSGs), and identity (Microsoft Entra ID).
• Experience operating in regulated environments such as healthcare, financial services, or higher education, including frameworks like HIPAA, HITRUST, SOC 2, or GDPR.
• Working knowledge of IT service management concepts.
• Experience with Azure Cost Management and FinOps practices.
• Strong problem investigation, root cause analysis, and decision-making skills.

Education and Experience:

• Bachelor’s degree or equivalent experience.
• Minimum of 10 years of professional IT experience, with at least 5 years in a senior, architect-level, or principal cloud engineering role.
• Demonstrated experience leading enterprise-scale Azure initiatives with multiple parallel workstreams.

• Preferred three to five (3 to 5) years of experience in implementing and managing Windows and Open Systems server infrastructure hybrid cloud solutions in an enterprise environment; healthcare experience preferred.
• Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization .
• Strong technical knowledge of VMWare ESX and Microsoft Hyper-V.
• Expertise in Microsoft Windows, Linux and AIX operating systems and management.
• Familiar with hyperconverged infrastructures such as VxRail.
• Familiar with Microsoft Azure Arc, System Center, Admin Center and SCCM.
• Familiar with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience in infrastructure-as-code (e.g., Terraform, CloudFormation) and containerization (e.g., Docker, Kubernetes).
• Experience in scripting (PowerShell, Python, Bash, etc.)
• Familiar with application delivery solutions such as Citrix.
• Experience with storage and data protection replication methodologies.
• Experience with Epic Infrastructure such as Hyperspace.
• Experience with ITSM functionalities such as change control, CMDB and ticketing systems.
• Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
• Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
• Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
• Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
• Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
• Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.
  
  

• Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.
  
  

• Preferred certifications include Microsoft Certified: Azure Fundamentals, VCP-DCV, ECSA.
  
  

• Responsible for installation and maintenance of server infrastructure along with upgrading/configuration and the life cycle management of hardware.
• Monitors functions of server infrastructure to ensure acceptable performance.
• Creates and maintains documentation related to server configuration and environments.
• Serves as subject matter expert across server operating systems and solutions (Microsoft Windows Server, Linux, AIX, VMWare ESX, Microsoft Hyper-V)
• Troubleshoots and resolves server and virtualization incidents.
• Maintain server patching to address security vulnerabilities.
• Collaborate with cloud compute architect to design and build functional server environments.
• Provide level 2 escalation support and troubleshooting to resolve complex server incidents and tasks.
• Stay current on cloud and systems engineering trends (e.g., serverless computing, containerization, AI-driven automation) and evaluate their potential to enhance TGC operations.
• Ensure systems, applications and data are high availability, backed up and/or replicated to meet disaster and business recovery requirements.
• Implement and enforce security requirements to protect Azure-based systems and data.
• Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
• Monitors industry trends, maintains knowledge of developments in cloud computing, database, storage, data protection, virtualization, hyperconverged infrastructure, server automation, monitoring and application delivery.
• Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
• Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
• Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
• Performs related duties as assigned and unrelated duties as requested.
  
  

Senior Computer Vision Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Computer Vision Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal