Senior AI Engineer

Nexxa.AI • Sunnyvale, CA

23h

About The Position

We are seeking a highly skilled Senior Generative AI Engineer with deep expertise in computer vision , foundation models , and applied machine learning . In this role, you will architect, build, and deploy advanced GenAI and CV solutions for real-world customer problems—spanning multimodal perception, image/video generation, fine-tuning vision-language models, and building scalable inference pipelines. You will work cross-functionally with product, engineering, and customer-facing teams to deliver technically sound, production-grade AI systems. This role is ideal for someone who thrives in fast-moving environments, loves solving ambiguous problems end-to-end, and is passionate about pushing the boundaries of modern AI.

Requirements

• 5–8+ years of industry experience in machine learning , with specialization in computer vision .
• Strong expertise with Generative AI techniques , such as: Diffusion models GANs Vision Transformers Multimodal (vision-language) architectures
• Hands-on experience with fine-tuning and training large vision or multimodal models using PyTorch, JAX, or TensorFlow.
• Advanced skills in Python , ML frameworks (PyTorch preferred), and modern model training toolchains (e.g., Ray, Lightning, DeepSpeed, HuggingFace).
• Proven experience building and shipping production ML/CV systems at scale.
• Strong understanding of: Computer vision algorithms Representation learning Training optimization Retrieval/embedding systems Data curation and labeling strategies
• Experience working in customer-facing or solution-oriented environments (e.g., consulting, forward-deployed engineering, technical pre-sales, applied research).
• Excellent communication and cross-functional collaboration skills.

Nice To Haves

• Experience deploying CV/GenAI workloads on cloud platforms (AWS/Azure/GCP) or edge devices.
• Familiarity with MLOps practices , including monitoring, evaluation, CI/CD for ML, and model governance.
• Background in applied research , publications, or contributions to open-source projects in AI/ML.
• Experience optimizing models for latency, throughput, or resource-constrained environments (quantization, distillation, pruning).

Responsibilities

• Design, develop, and deploy Generative AI models and pipelines for computer vision tasks (e.g., image/video generation, diffusion models, VLMs, image retrieval, scene understanding).
• Build and optimize large-scale ML training workflows including data pipelines, augmentation strategies, evaluation tooling, and model optimization.
• Fine-tune and adapt vision, multimodal, or foundation models
• Develop scalable inference systems for real-time or high-throughput computer vision applications.
• Collaborate with product, solutions, and engineering teams to translate ambiguous customer requirements into robust technical solutions.
• Conduct rapid prototyping for proof-of-concept and customer demos; iterate quickly with an eye for production implementations.
• Own the end-to-end lifecycle of GenAI/CV features: ideation, architecture, implementation, evaluation, deployment, and monitoring.
• Stay current with cutting-edge research in generative modeling, representation learning, and multimodal systems; evaluate adoption into the roadmap.
• Provide mentorship and technical leadership to junior ML engineers and cross-functional contributors.

Benefits

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies.
• Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement.
• Professional Growth: Benefit from significant opportunities for career development and advancement.
• Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed