VOLT AI · 23 hours ago
Senior Applied AI Engineer (Multimodal Perception & Reasoning)
San Francisco Bay Area
Full-time
Onsite
Senior Level, Lead/Staff
$175K/yr - $220K/yr
8+ years expVOLT is building the next generation of AI perception systems for the physical world, focused on safety, security, and real-time risk detection. They are seeking a Senior Applied AI & Machine Learning Engineer to design, optimize, and ship multimodal AI models that operate reliably in real-world environments.
RoboticsSecurity
Responsibilities
Build, fine-tune, and deploy production-grade multimodal models for safety and security applications, with a focus on visual and video perception, language-assisted and multimodal reasoning, and temporal understanding of real-world environments
Own the full applied ML lifecycle, including data collection, labeling strategies, and dataset curation, model fine-tuning, evaluation, and iteration, and deployment, monitoring, and continuous improvement in production
Drive model performance in real-world conditions, optimizing for high precision and recall, low false positives and false negatives, and robustness to noise, lighting changes, occlusion, and domain shift
Optimize models for edge and cloud deployment, including quantization, pruning, and model compression, latency, throughput, and memory optimization, and hardware-aware tuning for GPUs and edge accelerators
Build and maintain training and inference pipelines that support scalable experimentation and evaluation, reproducibility and model versioning, and reliable production deployment
Collaborate closely with infrastructure and systems engineers to integrate models into real-time perception pipelines, balance accuracy, performance, and cost constraints, and diagnose and resolve production inference issues
Use real-world deployment feedback and metrics to drive data and model improvements
Qualification
Required
8+ years of experience in applied machine learning or AI systems
Strong hands-on experience with vision, video, or multimodal models
Proven experience taking models into production, not just research prototypes
Deep understanding of model optimization (quantization, pruning, performance tuning)
Proficiency in Python and modern ML frameworks (e.g., PyTorch)
Experience evaluating models using real-world metrics and constraints
Ability to operate independently and own complex technical systems end to end
Preferred
Experience with multimodal or vision-language models (CLIP-like, BLIP-like, or custom)
Experience deploying models to edge or resource-constrained environments
Familiarity with inference optimization stacks (ONNX, TensorRT, CUDA)
Experience working on physical-world perception systems (video, sensors, environments)
Background in safety, security, robotics, or autonomous systems
Experience mentoring senior engineers or providing technical leadership
Company
VOLT AI
Volt is a cloud based enterprise security platform.
11-50 employees
H1B Sponsorship
VOLT AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (7)
2022 (1)
2021 (1)
Funding
Current Stage
Early StageTotal Funding
$12MKey Investors
Abstract
2023-07-01Series A· $12M
2021-01-01Seed
Leadership Team
E
Egor Olteanu
Founder and COO
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