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Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Build and deploy production-grade AI and machine learning solutions for marketing and sales, including LLM agents, data-quality pipelines, semantic search, RAG, analytics, and integrations with Salesforce, Marketo, and Adobe platforms. Define evaluation and governance practices, monitor AI services, implement privacy controls, and collaborate with platform teams. Train and mentor technical and business stakeholders on responsible AI adoption while supporting DevOps, incident response, and operational runbooks.
Top Skills:
Adobe AnalyticsAdobe Experience CloudAgent FrameworksAlgoliaAWSAzureCi/CdDatabricksElasticsearchEmbeddingsEvent-Driven ArchitectureGitGitlab Ci/CdHybrid SearchJavaJavaScriptJenkinsKafkaLlm ApisMachine LearningMarketoOpensearchPrompt EngineeringPythonRagRest ApisSalesforceSemantic RetrievalSnowflakeSQLTypescriptVector Search
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Field-based sales role responsible for expanding SOPHiA GENETICS’ genomic solutions across Washington, Oregon, and Northern California. Develop new business, build relationships with oncologists, pathology teams, laboratories, and senior decision-makers, explain genomic testing value, address clinical and technical questions with subject-matter experts, and convert opportunities into bookings. Candidates need oncology or molecular diagnostics sales experience and knowledge of genomic biomarkers and treatment decision-making.
Top Skills:
AIBioinformaticsDna/Rna SequencingGenomic TestingSophia Ddm Platform
Machine Learning • Payments • Security • Software • Financial Services
Leads the design and development of software solutions, resolves complex technical problems, and provides guidance to engineering colleagues. Responsibilities include preparing technical documentation, reviewing code and testing, applying modern development methodologies, and supporting business initiatives. The role typically requires a bachelor’s degree and at least three years of relevant experience. Preferred skills include Agile, cloud computing, DevOps, requirements analysis, system design, and project management.
Top Skills:
Agile MethodologyCloud ComputingDevOps
Founded in 2009, CLO Virtual Fashion is creating a new ecosystem for digital fashion based on its unrivaled technology in 3D clothing simulation algorithms.
CLO Virtual Fashion provides all clothing-related services from concept to design, manufacturing, marketing, fitting, and styling based on 3D clothing simulation algorithms.
Along with costume design software CLO, Marvelous Designer, and Jinny, we are involved in the entire costume journey with platforms specialized in costume content such as CLO-SET and CONNECT to build an efficient and sustainable workflow. Additionally, our solution allows physical and digital garments to be tagged together to function within the CLO system.
CLO Virtual Fashion, which is leading the global digital fashion market, currently has a total of 13 offices in 11 countries around the world, including Asia, North America, Europe, and South America, and is gradually expanding based on numerous customers from around the world.
Position Overview
We are seeking a Full-Time Researcher to join our global R&D team. In this role, you will develop and refine methodologies in areas such as physics-based simulation, geometric modeling, and intuitive design. You will work alongside our team on research initiatives in material dynamics, expressive authoring paradigms, and high-performance visualization, helping ensure our software continues to provide best-in-class solutions for our users.
Responsibilities
- Execute high-level research in computer graphics, HCI, or ML to solve simulation challenges.
- Develop intuitive workflows for garment construction that bridge the gap between 2D and 3D.
- Convert theoretical discoveries into optimized, production-ready code with our engineering teams.
- Identify and resolve architectural bottlenecks to maintain the performance of the core engine.
- Manage collaborative projects with external partners to integrate emerging tech into our roadmap.
Requirements
- PhD or Master’s in Computer Science, Physics, Mathematics, or a related field.
- 3+ years of R&D experience in graphics, physics simulation, or machine learning.
- Advanced C++ skills with experience in version control and automated testing.
- Ability to effectively communicate research findings to cross-functional teams.
- Background in discrete geometry, numerical methods, structural mechanics, rendering, or HCI/UX.
Plus if you have
- Record of impactful publications at venues like SIGGRAPH, CVPR, UIST, or Eurographics.
- High-level proficiency in GPU programming and APIs like CUDA, Metal, or WebGPU.
- Portfolio of patents, research grants, or recognized fellowships in computer graphics.
- Practical knowledge of computational fabrication, textile mechanics, or garment construction.
- Self-driven, proactive approach to solving complex problems and delivering results.
Benefits
- Healthcare Coverage (Medical/Dental/Vision Insurance)
- Paid parental and caregiving leave
- Retirement Plans including company match
- Work From Home Allowance
- Commuters Benefit
- Paid-Time Off
- 10 paid holidays plus company wide office closure
- Sick Days
- Flexible Work Hours
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
