Job Details

Member of Technical Staff - Multimodal

  2025-09-23     Cerebro     San Francisco,CA  
Description:

This range is provided by Cerebro. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$250,000.00/yr - $350,000.00/yr

Direct message the job poster from Cerebro

Supporting the USA's leading startups with world class AI & Robotics Talent | Co-Founder of Mentors in Machine Learning | Recruitment like a 5* hotel

Are you passionate about advancing the state of AI and eager to work at the intersection of vision and language? Cerebro are hiring on behalf of an innovative, well-funded AI company, backed by leading investors and guided by experts from top industry backgrounds who are seeking a Member of Technical Staff (Vision-Language Modeling) to join their dynamic research and engineering team.

Join a forward-thinking team thats shaping the future of generative AI infrastructure. This company is recognized for its high-performing generative AI platform and rapid advancements in multimodal and function-calling models. Youll play a vital role in driving research and building production-grade systems that bring cutting-edge vision-language intelligence to real-world applications.

Key Responsibilities:

  • Lead R&D efforts in vision-language modeling, including preparing datasets, training models, evaluating results, and deploying solutions.
  • Collaborate cross-functionally with engineering, product, design, and client teams to translate multimodal capabilities into impactful products.
  • Design and implement scalable ML systems for tasks such as image captioning, visual question answering, retrieval, grounding, and multimodal reasoning.
  • Develop and train large-scale vision-language models using advanced techniques (e.g., parameter-efficient fine-tuning, distributed training, RL, hyperparameter optimization).
  • Build robust, maintainable code in Python for both experimentation and production.
  • Analyze and evaluate model performance, driving improvements through empirical experimentation.
  • Contribute technical insights to the product roadmap, integrating the latest research and identifying features with strong commercial potential.

What we're looking for:

  • Bachelors degree in Computer Science, Electrical Engineering, or related field.
  • 3+ years of experience in machine learning, with a focus on computer vision, NLP, or multimodal systems.
  • Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Experience with training and deploying large-scale models in distributed computing environments.
  • Demonstrated ability to write production-quality code and work collaboratively across teams.
  • Experience engaging directly with clients, partners, or external stakeholders to define requirements.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Data Infrastructure and Analytics and Information Services

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