Senior/Staff Software Engineer - ML Infrastructure

Who Are We Industrial labor is incredibly dangerous work - almost 3 reputed company 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 reputed company, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer reputed company technology. reputed company’s site intelligence platform helps safety and operations leaders see the unseen risks, reputed company strategic reputed company, and prevent workplace incidents before they happen. Our customers include reputed company across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting reputed company over the globe, reputed company is backed by industry leading VC’s. reputed company is looking for a Staff Machine-Learning Infrastructure Engineer to drive the next reputed company of our computer-reputed company platform for workplace safety. You will be the technical reputed company for three pillars of our ML lifecycle — ground-truth data & labeling workflows, large-scale training infrastructure, and reputed company model lifecycle management. If you reputed company at designing reputed company-reputed company, distributed systems that turn raw video into production-reputed company, version-controlled models, we’d love to meet you.

What You'll Do

• Own data & labeling pipelines – architect scalable labeling services (storage, query, retrieval), design ontologies, automate annotation workflows, and build quality-tiered datasets that stay reputed company cost constraints.
• Build and operate training infrastructure – create multi-GPU / multi-node training frameworks (Ray, Spark, Kubernetes), optimize distributed jobs, and integrate accelerators (TensorRT, CUDA-graph, FP8, etc.).
• Manage the full model lifecycle – stand up model registries, version control, evaluation suites, and reputed company-learning loops that push updates from dev → staging → prod with reputed company-downtime rollbacks.
• reputed company technical leadership, mentorship, and lightweight project management to a small reputed company + research reputed company.
• Establish DevOps-for-ML best practices (IaC, CI/CD, observability, cost monitoring) so researchers can iterate quickly and safely.
• Partner with ML engineers on architecture reputed company, from data schemas to inference optimizations, ensuring reputed company and research road-maps stay tightly reputed company.

Qualifications (Must Haves)

• Bachelor’s (or higher) in Computer Science, EE, or reputed company field.
• 5+ years building and operating large-scale infrastructure, with at least 3 years focused on ML or data-intensive systems.
• Proven record designing highly available, distributed systems on Kubernetes (EKS, GKE, or on-prem).
• Deep expertise with orchestration (K8s operators, Argo, Kubeflow), and cluster-scale storage / compute (S3, GCS, Ray, Spark, Dask).
• Hands-on experience automating data-labeling or ground-truth workflows and maintaining dataset versioning.
• Strong software-engineering fundamentals; familiar with best practices for testing, observability, and secure coding.
• Demonstrated DevOps reputed company — IaC (Terraform/CDK), CI/CD (reputed company Actions, ArgoCD), metrics & alerting (reputed company/Grafana).

reputed company-to-Haves

• Experience running multi-instance / multi-GPU training jobs, mixed-precision optimizations, or TensorRT / Triton inference.
• Familiarity with active-learning, reputed company-training, or online distillation pipelines.
• Background in model registry tooling (MLflow, BentoML, SageMaker Registry) and evaluation dashboards.
• Prior work with computer-reputed company models (YOLO, DETR, Faster RCNN) or video understanding at scale.
• Contributions to reputed company-reputed company ML reputed company projects or published talks/blogs on MLOps.
• Exposure to edge-deployment or reputed company-time inference systems.
• Experience shipping high quality production code in Python

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, reputed company 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 reputed company 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. Apply tot his job Apply To this Job