CompScience

πŸ‘₯ 11-50πŸ’° $10,000,000 Series A over 1 year agoArtificial Intelligence (AI)Computer VisionIndustrialInternet of ThingsMachine LearningInsurTechInsuranceCommercial InsuranceSoftwareπŸ’Ό Private Company
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CompScience is revolutionizing workers' compensation insurance with AI. We provide companies with the tools to analyze their safety risk and prevent workplace accidents, on a mission to bring these accidents to zero. We are at the forefront of the insurtech industry, leveraging cutting-edge technologies like computer vision and machine learning to deliver unparalleled safety analytics. Our engineering team, comprised of experts from the self-driving car industry, builds and maintains scalable backend systems using technologies such as AWS, GraphQL, and Docker. We offer a remote-first culture, empowering our team members to make a significant impact in a high-growth startup environment. Our tech stack is designed for performance and scalability, focusing on AWS infrastructure, event-driven architecture, and modern backend systems. We are committed to a data-driven approach to ensure high availability, reliability, and rapid growth. We embrace modern development practices like continuous integration and deployment (CI/CD), and provide ample opportunities for professional development. We offer competitive salary, equity, and comprehensive benefits. CompScience is a fast-growing startup with a strong mission and has secured a Series A funding round, allowing us to continue expanding our team. We are a diverse and inclusive organization, and strive to create a collaborative and supportive work environment. Join us and help us build a safer world!

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πŸ“ United States

🧭 Full-Time

πŸ’Έ 120000.0 - 140000.0 USD per year

πŸ” Software Development

  • 7+ years of experience deploying and supporting IT and/or video surveillance systems in commercial settings, including familiarity with IPV4/IPV6, network topology troubleshooting, and knowledge of IP and analog camera technologies.
  • 2+ years of experience leading IT or Support Engineering teams
  • Experience deploying AWS virtual machines.
  • Excellent troubleshooting and analytical thinking skills, with a proven ability to produce high-quality documentation.
  • Provisioning, deploying, and monitoring Generative AI edge devices in industrial environments for real-time safety alerts
  • Instruct clients on the use of CompScience applications, assist in troubleshooting and resolving technical issues related to VMS or camera malfunctions, and coordinate with clients and security vendors for proper installation and setup.
  • Provide customer feedback to Product Management and Engineering teams for feature enhancements, coordinate with Engineering to identify and resolve application bugs, test new releases, and collaborate with Product Management to optimize customer processes and interactions.
  • Lead a cross-functional team of Support Engineers to determine video requirements for client site safety analysis.
  • Manage, support, and troubleshoot internal digital tools and platforms utilized by CompScience (including Google Suite, AWS, Asana, Jira, Slack, RingCentral, proprietary web-based tools, Google Report Writer, and Data Science analytics platforms), documenting and resolving related tickets, and escalating complex issues to the Digital Operations department as needed.

AWSCloud ComputingJiraCross-functional Team LeadershipAPI testingCommunication SkillsCustomer serviceRESTful APIsDocumentationTroubleshootingTechnical supportCustomer support

Posted about 1 month ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 160000.0 - 210000.0 USD per year

πŸ” Insurtech

  • 6+ years of experience developing and deploying end to end computer vision models in production environments
  • Experience fine tuning LLM for video analytics
  • Extensive experience with PyTorch and computer vision libraries
  • Strong programming skills in Python and C++
  • Solid understanding of machine learning principles and their application to real-world problems
  • Design, develop, and deploy state-of-the-art computer vision models specifically tailored for video understanding, including tasks like object detection and tracking, action/activity recognition, anomaly detection, and scene understanding within video streams.
  • Integrate and fine-tune large language models (LLMs) to enhance video analysis capabilities. This includes using LLMs for tasks such as generating natural language descriptions of video events, answering questions about video content, and extracting structured information from video.
  • Optimize models for real-time or near real-time performance, enabling rapid analysis of video feeds.
  • Build and maintain the entire AI pipeline, from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
  • Stay at the forefront of research in computer vision, video analysis, and LLMs. Evaluate and adapt cutting-edge techniques to improve our platform's performance and capabilities.
  • Collaborate closely with other engineers, data scientists and product managers. Provide technical guidance and mentorship to junior team members.
  • Apply your video AI expertise to solve real world insurance problems.

PythonData AnalysisImage ProcessingMachine LearningPyTorchC++AlgorithmsData engineeringLinux

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πŸ”₯ Production Underwriter
Posted about 1 month ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 96000.0 - 140000.0 USD per year

πŸ” Insurance

  • Minimum of 5 years experience in an insurance organization with demonstrated technical knowledge in Workers Compensation experience is required
  • Ability to exercise advanced judgment skills in evaluating and determining the proper pricing for prospective policyholders using underwriting guidelines by accepting or rejecting risks for the purposes of issuing workers’ compensation insurance coverage
  • Ability to manage agency relationships and demonstrated ability to make sound underwriting decisions
  • Ability to calculate expected pricing, dividends, and premium quotations for agents and policyholders
  • Ability to analyze territory in order to identify problems and take the appropriate corrective action
  • Prepares and develops premium quotations utilizing underwriting guidelines within letter of authority
  • Determines underwriting eligibility for prospective policyholders and develops appropriate pricing for new business, renewals, and endorsements
  • Analyzes and reviews prospective accounts for insurability and accepts or rejects within letter of authority
  • Develops and manages agency relationships
  • Addresses agents’ and policyholders’ concerns/needs
  • Responsible for development of new business, profitability and retention of existing business in a given territory

Data AnalysisRelationship management

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πŸ”₯ Head of AI Engineering
Posted about 1 month ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 185000.0 - 300000.0 USD per year

πŸ” Software Development

  • PhD or MS in AI, Computer Vision, Machine Learning, or a related field, coupled with 8+ years of industry experience in AI/ML, including a strong background in both Convolutional Neural Networks (CNNs) and Large Language Models (LLMs).
  • Proven expertise in computer vision models (e.g., YOLO, EfficientNet, etc.) and LLMs (e.g., GPT, LLaMA, Claude, Gemini), including experience with fine-tuning techniques for both.
  • Strong programming skills in Python and hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and libraries (Hugging Face Transformers).
  • Hands-on experience in developing and deploying multi-modal AI systems that integrate text, vision, and structured data (at work or at home).
  • Knowledge of edge AI techniques, real-time inference, and low-latency model optimization.
  • Proven leadership in defining and executing a comprehensive AI strategy, including roadmap development and successful integration of AI solutions into core product offerings.
  • Extensive experience architecting and developing compound AI systems, specifically combining Computer Vision (CNNs) and Large Language Models (LLMs) to extract insights from both structured and unstructured data sources.
  • Deep expertise in AI model design, training, and optimization, including hands-on experience with real-time video analysis using CNNs and fine-tuning LLMs for domain-specific applications (e.g., safety intelligence, risk assessment).
  • Demonstrated ability to design and deploy scalable AI architectures across diverse environments, including on-premise, edge devices, and cloud platforms, with a strong understanding of MLOps principles and practices.
  • Experience building and leading MLOps & AI Infrastructure, building pipelines, implementing AI model monitoring, and integrating continuous learning to improve AI accuracy and efficiency.
  • Strong track record of cross-functional collaboration, with proven ability to work effectively with engineering, product, and data science teams to deliver AI-driven solutions, while ensuring compliance with relevant regulatory and ethical AI standards.

AWSDockerLeadershipProject ManagementPythonSQLArtificial IntelligenceData AnalysisGCPImage ProcessingKubernetesMachine LearningNumpyPyTorchCross-functional Team LeadershipProduct DevelopmentAlgorithmsData StructuresREST APIStrategic ManagementTensorflowCI/CDJSONRisk ManagementTeam managementData modelingSoftware Engineering

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πŸ“ United States

🧭 Full-Time

πŸ’Έ 90000.0 - 115000.0 USD per year

πŸ” B2B SaaS

  • Bachelor's degree in business, marketing, communications or related field
  • 8+ years of experience in Customer Success or Account Management
  • Experience leading customers in 1M+ ARR range
  • Excellent communication and presentation skills
  • Strategic thinker with data analysis capability
  • Experience with CRM software
  • Create and execute strategic plans for enterprise accounts
  • Lead the customer onboarding process
  • Build strong, trusted relationships with clients & brokers
  • Collaborate across teams to drive continuous improvement
  • Identify and lead initiatives for product and service enhancement

Data AnalysisAccount ManagementStrategic thinkingCustomer Success

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πŸ“ United States, Canada

🧭 Full-Time

πŸ’Έ 150000.0 - 250000.0 USD per year

πŸ” Insurance

  • Proven track record in business development or sales, preferably within the insurance sector
  • Experience in cold calling and prospecting to generate new leads and opportunities
  • Experience selling to insurance brokers or similar stakeholders
  • Strong understanding of insurance industry dynamics
  • Excellent communication, negotiation, and interpersonal skills
  • Ability to travel 50-75% of the time, primarily within the Eastern seaboard (Northeast, Mid-Atlantic, Southeast) or the Midwest
  • Identify and target insurance brokers who are potential clients for CompScience solutions
  • Develop and execute strategic plans to achieve sales targets and expand market share within a geographic territory
  • Collaborate with underwriters to generate revenue with targeted brokers and agencies
  • Prepare and deliver presentations, proposals, and product demonstrations to prospective clients
  • Collaborate with internal teams to smooth implementation and delivery of solutions to clients
  • Build and maintain strong, long-lasting relationships with key decision-makers and stakeholders at insurance brokerages
  • Understand customer needs and requirements to effectively position our solutions and tailor proposals accordingly
  • Stay informed about industry trends, competitors, and market conditions to identify opportunities for growth

Business DevelopmentNegotiationRelationship managementSales experience

Posted about 1 month ago
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