Software Engineer, ML Systems

Our perception team turns raw video into reliable, customer-facing incidents. We’re re-architecting our perception system around stream-based processing, and we need an engineer who can take research-grade computer vision techniques and make them work in production: scalable, observable, and integrated cleanly into the wider product. You’ll be a technical leader on the team, setting direction through design and execution rather than people management.

What you’ll do

• Turn research ideas (transformers, ensemble models, new detection and classification approaches) into production features, from prototype through evaluation, rollout, and iteration
• Design and build perception pipeline components on our stream-processing architecture (Flink/PyFlink), working with the platform team on model serving, configuration management, and orchestration
• Own and improve production CV models, including training, evaluation, and inference optimization (Triton, TensorRT, multi-backend serving)
• Design the logic that converts model outputs into trustworthy incidents: tracking, filtering, probabilistic reasoning, and state machines
• Build observability into everything you ship: metrics, dashboards, and evaluation loops that show whether a model or pipeline is working in the field
• Reduce end-to-end latency and cost while keeping detection quality high
• Partner with GTM, customer success, and data operations to plan customer rollouts, tune deployments, and improve labeling and review quality
• Evaluate and integrate third-party ML tooling (orchestration, labeling, dataset curation) and drive adoption across the team
• Write clear design docs and requirements, and de-risk major changes with proofs of concept before full buildouts

• 5+ years building and shipping production ML or computer vision systems, with a track record of moving techniques from research to reliable product
• Strong Python; working knowledge of C++ or Go is a plus
• Experience with model serving and inference optimization (Triton, TensorRT, or similar)
• Experience with streaming or distributed data processing (Flink, Kafka, or similar)
• Solid grounding in evaluation: building datasets, defining metrics, and detecting regressions before customers do
• Familiarity with Kubernetes, Docker, and infrastructure as code (Terraform, ArgoCD); AWS experience

Nice to have

• Experience with the full CV data lifecycle: collection, sampling, labeling, and curation
• Experience with auto-labeling or embedding-based data search
• Exposure to customer deployments or field-facing ML systems

The soft skills that matter most

• Technical leadership without authority: you drive alignment across engineering, platform, GTM, and data ops through clear thinking and communication
• Ownership: you follow a feature past “the model works” to “customers trust it”
• Pragmatism: you know when a research result is ready for production and when it needs more work
• Mentorship: you raise the bar for teammates through design reviews, code review, and sharing context
• Comfort with ambiguity: you help shape an architecture in flux and can validate it with a fast proof of concept

Why this role You’ll have real influence over the architecture of a system that’s being rebuilt, with a direct line from your work to customer outcomes.

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., * 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
• Daily meals in-office, vibrant company events, team-building.

• 401K retirement plan, HSA options, pre-tax Commuter Card.

• Strong analytical instincts - you make decisions from data, can build a pipeline model in a spreadsheet, and communicate performance clearly to senior stakeholders.
• AI-forward mindset - active interest in applying AI tools to accelerate campaign development, audience targeting, content personalization, and channel optimization.

Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we’re transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur.

Voxel’s platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments.