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Leads end-to-end applied AI and machine learning solutions for payment trust, safety, fraud prevention, and operational efficiency. Defines AI/ML strategy, data and evaluation plans, production deployment, model lifecycle practices, monitoring, and incident response. Partners with product, engineering, risk, compliance, and senior stakeholders while remaining hands-on with ML, NLP, document extraction, and cloud-based systems. Drives technical reviews, communicates tradeoffs, and ensures reliable, explainable, audit-ready solutions.
Top Skills:
Amazon Web ServicesSparkClassical Machine LearningComputer VisionContinuous Integration And Continuous DeliveryGraph Neural NetworksMachine Learning OperationsModel RegistriesNatural Language ProcessingNeural NetworksOptical Character RecognitionPythonPyTorchReal-Time Event-Driven ArchitecturesSQLTensorFlowTransformer Models
eCommerce • Fashion • Retail • Sales • Wearables • Design
The Barista II delivers exceptional customer experiences, engages guests, drives sales, maintains operational standards, and collaborates with team members.
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Designs, develops, deploys, and supports large-scale AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, and model evaluation. Defines enterprise AI architecture, optimizes model performance, cost, latency, and throughput, establishes AI safety and governance standards, leads multi-year platform initiatives, and mentors senior technical leaders across engineering and research.
Top Skills:
Agentic AiAi GovernanceAi ObservabilityAWSAws UltraclustersAzureC#C++CudaFoundation ModelsGoGCPHugging FaceJavaLarge Language ModelsModel EvaluationMulti-Agent WorkflowsPythonPyTorchScalaSimilarity SearchVectordbs
Who Are We
Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology.
Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s.
What You'll Do
- Lead State-of-the-Art Research: Invent and implement computer vision and generative AI algorithms that push the boundaries of the field. Stay abreast of the latest advances in deep learning, visual reasoning, and large-scale data processing
- Design Scalable Real-Time Systems: Create models that can reliably handle input from thousands of always-on video cameras, running at scale 24/7, and extract actionable insights around safety issues
- Collaborate with Cross-Functional Teams: Work closely with software engineering, cloud, and ML operations teams to optimize data ingestion, model retraining, and redeployment flows across large-scale infrastructures
- Consult on Customer Solutions: Advise Sales, Customer, and Field Engineering teams in defining and customizing solutions to meet complex client requirements
- Contribute to Product Evolution: Transfer research findings into production, contributing to the continuous improvement of our cutting-edge platform
- Drive Continuous Innovation: Shape Voxel’s vision for deploying generative AI to solve industrial and enterprise-scale computer vision problems, using millions of videos to find patterns and deliver actionable insights to customers.
Minimum Qualifications
- Educational Background:Bachelor’s degree in Computer Science, Electrical Engineering, or a related field + 5 years of professional experience; OR Master’s degree in a relevant field + 3 years of professional experience; OR PhD in Computer Vision, Machine Learning, or a similar area.
- Deep Learning & Computer Vision Expertise: Proven experience in building and deploying deep learning models (e.g., convolutional neural networks, visual reasoning architectures) for large-scale image or video analysis.
- Practical Experience at Scale: Hands-on track record in processing and extracting insights from large video datasets (e.g., millions of video).
- Research-to-Product Transition: Demonstrated ability to translate innovative computer vision, machine perception, or machine learning research into shipping products or real-world applications.
- Generative AI Exposure: Familiarity with generative models and techniques, with a passion for applying them to real-world computer vision and safety use cases.
- Collaboration & Communication: Excellent written and verbal communication skills; able to lead cross-functional discussions and clearly articulate complex technical concepts to diverse stakeholders.
Preferred Qualifications
- Experience with VLMs or Multi-Modal Architectures: Familiarity training or fine-tuning large Visual Language models that integrate text and visual components.
- Video-Based Modeling: Hands-on experience building and optimizing video-focused neural networks for tasks such as activity recognition, action localization, or spatiotemporal understanding.
Why Join Us?
Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment.
Benefits:
Extensive / Generous health, dental, and vision insurance.
Highly competitive paid parental leave and support system.
Ownership in the business through an Equity Incentive Plan.
Generous paid time off and / or flexible work arrangements.
Daily meals in-office, vibrant company events, team-building.
401K retirement plan, HSA options, pre-tax Commuter Card.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
