Video Foundation ML Engineer: Agentic AI & Multimodal

Maxinsights; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Vision care

Dental coverage

401(k)

Paid holidays

PTO (Paid Time Off)

Sick leave

Job summary

Maxinsights is seeking a talented ML engineer to design and optimize video-language foundation models for real-world applications. You will build end-to-end ML pipelines covering data processing, training, evaluation, and inference and tackle failures to push performance.

We value hands-on experience with PyTorch, multimodal models, and large-scale training, plus the ability to own projects from concept to production while collaborating with product and engineering teams.

Qualifications

• Bachelor's/Master's/PhD in Computer Science, AI, ML or related field, or equivalent practical experience.
• Strong understanding of deep learning and hands-on experience with model training, fine-tuning, or inference.
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Familiarity with modern LLMs, multimodal models, or computer vision models.
• Strong problem-solving skills and the ability to independently implement, debug, and optimize ML systems.
• Ability to work in a fast-paced environment, take ownership, and deliver practical solutions.

Responsibilities

• Design, train, fine-tune, and optimize video-language foundation models for real-world applications.
• Build and improve large-scale ML pipelines covering data processing, training, evaluation, and inference.
• Analyze model failures, identify performance bottlenecks, and drive continuous improvements through data and algorithmic iteration.
• Develop efficient model inference and deployment solutions balancing quality, latency, and cost.
• Collaborate with product and engineering teams to translate business requirements into technical solutions for production-ready ML capabilities.
• Explore and evaluate emerging techniques in multimodal learning, reinforcement learning, and agentic AI for practical problems.
• Take ownership of ML projects from problem definition and experimentation through deployment and ongoing improvement.

Skills

Python

Deep learning

Model training

Fine-tuning

Inference

PyTorch

LLMs

Multimodal models

Education

Bachelor's/Master's/PhD in Computer Science / AI / ML or equivalent

Tools

PyTorch

Job description

Maxinsights is seeking a talented ML engineer to design and optimize video-language foundation models for real-world applications. You will build end-to-end ML pipelines covering data processing, training, evaluation, and inference and tackle failures to push performance.

We value hands-on experience with PyTorch, multimodal models, and large-scale training, plus the ability to own projects from concept to production while collaborating with product and engineering teams.