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HOPPR

👥 11-50Artificial Intelligence (AI)MedicalInformation TechnologyHealth CareHealth DiagnosticsSoftware💼 Private Company
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HOPPR is a company that provides a secure platform with data, foundation models, and tools aimed at enhancing app development through improved accuracy and performance.

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Jobs at this company:

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🔥 Technical Project Manager
Posted about 2 months ago

🧭 Full-Time

🔍 Healthcare Technology

  • 5+ years of experience in technical project management, ideally in MedTech, healthcare, or AI development.
  • Strong understanding of AI/ML development lifecycles and software development practices.
  • Experience working in regulated environments (e.g., knowledge of FDA approval pathways for medical devices).
  • Excellent organizational, communication, and leadership skills.
  • Familiarity with project management tools (e.g., Jira, Trello, Asana) and Agile/Scrum methodologies.
  • Lead the end-to-end project lifecycle for AI model development, deployment, and clinical integration.
  • Develop project plans, schedules, milestones, and deliverables to ensure timely execution.
  • Coordinate sprints, releases, and deployments across engineering and product teams.
  • Collaborate with internal teams (AI researchers, clinicians, and software developers, quality and regulatory, commercial) and external stakeholders (partners, hospitals, regulatory bodies, and vendors) to ensure clear communication and alignment.
  • Serve as a liaison between technical teams and non-technical stakeholders, ensuring technical concepts are effectively translated.
  • Identify and manage potential project risks and by developing mitigation strategies.
  • Monitor project performance, resolve issues, and implement improvements where necessary.
  • Understand AI development processes, including model training, validation, and deployment pipelines.
  • Work with the development team to oversee system architecture, data pipelines, and API integration into clinical workflows.
  • Ensure compliance with regulatory standards (e.g., FDA, HIPAA) during project execution.
  • Allocate cross-functional resources efficiently and ensure project costs align with budgets.
  • Track project expenditures and prepare periodic status reports for management.
  • Collaborate with QA teams to implement validation strategies for AI models.
  • Work closely with regulatory experts to ensure products will meet clinical safety and ethical guidelines for our partners.
Posted about 2 months ago
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🔥 ML Research Scientist
Posted about 2 months ago

📍 United States

🧭 Full-Time

🔍 Medical Imaging

  • PhD (or Master’s with 3+ years experience) in Computer Science, Electrical Engineering, Biomedical Data Science, or a related field.
  • Proven track record in medical machine learning research, as demonstrated by first-author publications in leading venues (e.g., Nature, CVPR, ACL, ICML, NeurIPS, MICCAI, IEEE, or similar).
  • Extensive experience developing and implementing state-of-the-art deep learning models using frameworks like PyTorch or Tensorflow and tools like Hugging Face.
  • Strong expertise in ML domains such as computer vision, NLP, and multimodal AI applications.
  • Familiarity with medical imaging, clinical workflows, and the healthcare industry (preferred, not required).
  • Exceptional problem-solving and analytical abilities.
  • Strong communication skills and a collaborative mindset.
  • Research, prototype, and deploy state-of-the-art machine learning algorithms for medical imaging, NLP, and multimodal tasks.
  • Define and lead an ambitious research agenda with clear, measurable milestones.
  • Collaborate with clinicians, engineers, and product teams to understand critical needs and align research priorities.
  • Share insights and breakthroughs through publications in leading conferences and journals.
  • Present your work internally to gather feedback and foster collaboration across research, engineering, and clinical teams.
  • Build and improve shared infrastructure and tools that support research and engineering initiatives.
  • Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.

PythonSoftware DevelopmentData AnalysisImage ProcessingMachine LearningPyTorchAlgorithmsData scienceData StructuresTensorflowCommunication SkillsAnalytical SkillsRESTful APIsResearch skills

Posted about 2 months ago
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🔥 ML Engineer
Posted about 2 months ago

📍 United States

🧭 Full-Time

🔍 Medical Imaging, AI/ML

  • Master’s or PhD in Computer Science, Engineering, or a related field
  • 3+ years' experience in relevant roles
  • Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
  • Strong understanding of MLOps practices
  • Experience with cloud platforms (e.g., AWS, GCP, Azure)
  • Knowledge of data engineering principles
  • Develop, deploy, and maintain state-of-the-art machine learning models
  • Design and implement robust ML pipelines and shared infrastructure
  • Collaborate with researchers to translate algorithms into production-ready solutions
  • Build and maintain MLOps tools and practices
  • Optimize model performance in production environments
  • Partner with clinicians and product teams

AWSDockerPythonSQLGCPKubernetesMachine LearningPyTorchAzurePandasTensorflow

Posted about 2 months ago
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🔥 Data Scientist
Posted about 2 months ago

🔍 Medical Imaging

  • Master’s or PhD in Computer Science, Engineering, Data Science, or a related field.
  • 1+ years of professional data science experience, with a proven ability to train, evaluate, and deploy machine learning models, including large language models.
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow), as well as experience with data manipulation tools like SQL, pandas, or NumPy.
  • Familiarity with ML Ops practices and deploying models into production pipelines (preferred).
  • Knowledge of healthcare data, such as radiology images or EHRs, is a plus.
  • Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets
  • Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals.
  • Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments.
  • Design and implement MLOps practices to streamline, scale, and automate machine learning workflows.
  • Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools.
  • Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes.
Posted about 2 months ago
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🔥 Senior Product Manager, Medical Imaging Foundation Models
Posted about 2 months ago

📍 US

🔍 Medical Imaging

  • BS, MS, or PHD in engineering or relevant field
  • 5+ years of product management experience, with a proven track record of defining, developing, and launching successful AI-driven products in healthcare.
  • Prior experience in a fast-paced or startup environment is advantageous.
  • Experience with agile development.
  • Ability to translate and articulate complicated and/or ambiguous business problems into easily understood solutions and functional requirements.
  • Ability to define and analyze key product metrics to assess performance and drive continuous improvement.
  • Experience working on products across the full product lifecycle (conception, development, go-to-market, and post launch support).
  • Proven track record of delivering scalable, customer-focused solutions.
  • Proven written and oral communication skills and ability to influence colleagues.
  • Ability to travel to the HOPPR on-sites and customer sites up to 25% of the time.
  • Develop and maintain detailed roadmaps for HOPPR’s medical grade platform ensuring alignment with business goals and customer needs.
  • Engage a core group of stakeholders, both internal and external, to inform and shape the product roadmap.
  • Understand customer needs, perform market research and evaluate the competitive landscape and translate those findings into well-defined requirements for the engineering team.
  • Define and prioritize product requirements for self-service fine-tuning tools, APIs, and customer-facing dashboards.
  • Drive end-to-end execution for HOPPR's medical grade platform, ensuring scalability, ease of use, security and compliance.
  • Manage prioritization and trade-offs to ensure platform features meet customer needs, maintain high-quality standards, and support future growth.
  • Partner with engineering to work through implementation details, spec reviews, design reviews and ensure the on-time delivery of features.
  • Partner with product management counterparts on delivering the whole solution.
  • Work closely with product management and leadership teams to develop and support the go-to-market strategy.
  • Develop and communicate clear product messaging, positioning, and value propositions tailored to various customer segments.

AWSLeadershipSQLAgileArtificial IntelligenceCloud ComputingData AnalysisMachine LearningProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsAlgorithmsAPI testingData StructuresREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingMarket ResearchStakeholder managementStrategic thinkingCustomer Success

Posted about 2 months ago
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🔥 ML Customer Solutions Engineer
Posted about 2 months ago

📍 United States

🧭 Full-Time

🔍 Medical Imaging, AI/ML

  • 7-10 years total experience
  • 3-5 years in a technical client-facing role
  • Proficiency in Python and machine learning frameworks
  • Understanding of radiological software (PACS, DICOM)
  • Strong communication skills
  • Collaborate with clients to fine-tune models for radiology tasks
  • Deliver demos and facilitate technical discussions with clients
  • Serve as the primary technical contact for clients
  • Ensure AI models fit into radiological workflows
  • Work with cross-functional teams to address client needs
  • Assist in developing technical materials

PythonMachine LearningPyTorchTensorflowRESTful APIs

Posted about 2 months ago
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