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we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time to giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're currently seeking a Senior Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.
Responsibilities
Work with product, medical, and engineering teams to turn data into insights and recommendations.
Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
Build and maintain dashboards to improve data visibility and monitoring.
Analyze product performance, user behavior, and interactions to showcase product value.
Define, measure, and build monitoring tools for key KPIs.
Visualize insights clearly to improve understanding and decision-making.
Support roadmap planning by identifying trends, gaps, and opportunities.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We are seeking a Director of Medical Research - a pivotal leadership role at our company. Were looking for someone with both execution power and strategic vision: an individual who can drive complex, long-term research initiatives while fostering trust and collaboration across diverse teams. If youre excited about leveraging technology to redefine healthcare and thrive in a cross-disciplinary environment, wed love to hear from you.
Responsibilities
Lead and mentor the Medical Research Managers team, ensuring both professional excellence and personal growth through project guidance and career development planning.
Co-lead the companys Research group together with the Head of AI and MLE Group Lead, driving both strategic and tactical planning for annual, semi-annual, and quarterly roadmaps.
Shape long-term research strategy by identifying and prioritizing projects that leverage cutting-edge technologies and align with the companys future goals.
Partner closely with Product and Engineering teams to ensure alignment between research initiatives, development needs, and integration into existing product lines.
Collaborate with clients through site visits and field research to understand physician and clinic needs, and translate insights into research directions and product innovation.
Work cross-functionally with Customer Support to identify, analyze, and resolve issues raised by clients, driving continuous product improvement.
Oversee continuous validation of models in production to ensure clinical quality and reliability remain at the highest standards.
Represent the research and clinical perspective in executive discussions, bridging business goals with clinical and technical capabilities.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.
Responsibilities
Lead development processes from ideation to production
Develop, maintain, and imperialize the products application layer (front end & back end)
Collaborate with product, medical, and software teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare industry.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
Responsibilities
Lead a medical team responsible for the design, development, and deployment of features and product lines within our company(in partnership with the Product and Engineering teams). Specifically related to our companys flagship Risk Adjustment Solution.
Regular data analysis and clear presentation of conclusions to direct business and product decisions
Medical validation of our companys product and features
Closely work with our companys developers data scientists, and data analysts to bring medical and medical-product expertise to all aspects of R&D
Support our companys marketing and sales teams in the development of marketing materials, delivering webinars, attending conferences and sales demos
Manage a team of analysts (medical students) to support your efforts in the above.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations, including Privia Health and Agilon.
Were looking for a motivated and detail-oriented Product Manager to lead product ownership for our Engine Team. This role sits at the heart of our product - defining, refining, and improving the medical logic that powers our AI-driven suggestions. Youll partner closely with medical experts, data scientists, and engineers to translate customer needs into scalable, accurate, and impactful product features.
Responsibilities
Strong technical background with experience in development, data analysis, technical product management, or a similar role. Engage with customers and end-users to gather feedback and insights on our medical logic.
Translate customer and business requirements into PRDs, technical specifications, and logical flows for the Engine Team.
Collaborate with medical and data science teams to brainstorm and validate new ways to improve our suggestion algorithm.
Explain complex medical logic in simple, non-technical language to internal stakeholders (Support, CSM, Implementation teams) and generate internal product documentation
Use SQL and analytical skills to interrogate data, evaluate logic performance, and validate improvements..
Own and manage the product backlog for the Engine Team, prioritizing requests based on customer impact, business goals, and urgency.

we are a fast-growing digital health SaaS company thats on a mission to enhance the primary care experience by transforming the way physicians interact with patient data. Our proprietary AI models are specifically designed to understand the language of primary care, transforming complex and fragmented patient data into a concise patient portrait" and actionable clinical insights at the point of care. This allows physicians to get the full picture of their patients and act on their health status instantly and accurately. Built by physicians for physicians, our AI platform reduces physician burnout, while helping healthcare organizations thrive in value-based care. Thousands of clinicians across the United States are using our companys AI-powered clinical intelligence solution to improve preventative care, reduce missed diagnoses, and reclaim time with their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights, and made the list of the Top 50 Digital Health startups. We are already working with industry leading health systems and value-based organizations including Privia Health and Tampa General Hospital.
we are looking for a talented and hands-on SecOps Specialist to join its core InfoSec & IT department.
Responsibilities
The position is designed to be hands-on, focusing on the operational aspects of security and compliance within the organization. It is essential for supporting our companys strategic vision, ensuring effective and efficient implementation of security and compliance initiatives.
As a SecOps Specialist you will be responsible for executing the operational aspects of information security and support security strategies formulated with the CISO.
This role requires a strong focus on the day-to-day management and monitoring of security practices, the integration of security within the software development lifecycle, ensuring the organizations policies, procedures, and different systems are aligned with customers requirements, regulatory requirements and industry best practices.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
we are looking for a talented and experienced Senior Software Engineer to join our data group.
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

Were looking for a Data Engineer who takes full ownership, works independently, and delivers results with speed and precision.
You are a fast learner who quickly adapts to new tools and concepts, communicates clearly across teams, and documents your work effectively. You pay attention to details, stay organized, and are committed to getting things done with continuous improvement.
Responsibilities
Design, implement, and maintain robust data pipelines to process and manage large-scale datasets, including auto-tagging for expanding training and validation data.
Develop intelligent search and filtering techniques and utilities to query relevant data and expedite data discovery.
Identify impactful driving scenarios across large datasets, enrich them into diverse, high-quality datasets for development usage.
Leverage NN models to support automatic labelling processes and data mining.
Create or customize data annotations tools, integrating automated quality assurance and auto-tagging algorithms to make data pipelines more efficient.
Design and manage processes for synthetic data generation.
Data processes documentation and communicates progress to stakeholders.

we are a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.
At our company, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.
we are backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast and Knorr-Bremse, with headquarters at the heart of Tel Aviv.
Responsibilities
The Data engineer is responsible for the definition of the data ecosystem used by the object detection team our company .
Overseeing the companys data pipeline system and processes including organizing, storing, labeling, and analyzing the data received, to ensure timely delivery of high-quality data required for the development projects of the company.
Establish and implement an effective process for data management, and build a strong team of data annotation specialists.
Data team management: group management, monitoring data tasks, monitoring of the work pace and improving processes to ensure efficient processes
Working closely with R&D and product management teams, algorithms, functional testing specialists, and data tagging professionals to ensure successful kickoff and execution of required projects including manpower planning, the correct definition of requirements, training materials preparation, and progress follow-up.
Provide Data for training deep learning networks.
Collect and analyze data for the effectiveness of the projects, using scripts, python queries, and building dashboards
Test new annotation tools and improve existing ones, validate the quality of the annotated data.

As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

We are seeking a hands-on Director of Embedded Systems to lead the strategy, execution, and customer engagement for our embedded platforms in advanced automotive perception. Reporting directly to the VP R&D, you will manage the Embedded Software Team Lead (5 engineers) and the Software Architect, while also engaging closely with Tier-1/OEM customers and silicon vendors.
This role combines deep technical ownership, strong leadership, and customer-facing responsibilities in a fast-paced startup environment.
Responsibilities
Leadership & Team Growth
Lead the Embedded Software Team Lead and Software Architect, ensuring alignment between architecture, implementation, and delivery.
Set priorities, allocate resources, and oversee execution across embedded software development.
Act as the escalation point for complex technical or organizational challenges.
Build a high-performance, accountable, and collaborative culture.
Prepare for future team growth as the company scales.
Technical Ownership
Remain hands-on with design reviews, architecture decisions, and technical discussions.
Own the end-to-end embedded software vision for perception systems, balancing scalability, real-time performance, and safety.
Oversee architecture across heterogeneous compute platforms (CPUs, GPUs, NPUs, MCUs).
Ensure best practices in coding, reviews, testing, and integration in real-time, safety-critical environments.
Coordinate with 3rd-party partners on middleware, BSP, OS abstraction, and low-level drivers, with the ability to read and challenge design documentation.
Customer & Partner Engagement
Spend ~50% of your time outbound: lead technical discussions with Tier-1/OEM customers, support escalations, and represent embedded systems in workshops.
Manage relationships with silicon vendors (e.g., TI, NVIDIA, Qualcomm, Renesas), staying aligned with their roadmaps.
Ensure embedded deliverables are integrated smoothly with broader system needs in perception, hardware, and validation.
Standards & Compliance
Own compliance with ASPICE, AUTOSAR, ISO 26262 (Functional Safety), and ISO/SAE 21434 (Cybersecurity).
Lead audits, reviews, DFMEA/DFA processes, and quality gates.
Define and enforce engineering processes and metrics across the embedded team.
Innovation & Roadmap
Track industry trends in embedded systems, AI acceleration, and automotive perception.
Shape the long-term roadmap for embedded platforms in collaboration with executives.
Evaluate and adopt new tools, frameworks, and hardware accelerators to enhance performance and safety.

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.