Applied ML Engineer

San Jose, California

  Machine Learning

Permanent

Our client is revolutionizing the trillion-dollar hyper-automation market and they are hiring an Applied Machine Learning Engineer to join the team in San Jose, CA. The successful candidate will have the opportunity to tackle some of the most complex challenges in AI and drive groundbreaking advancements in enterprise automation, shaping the future of software.

Responsibilities

  • As the Applied ML Engineer, you will develop creative strategies to optimize resource utilization for model training and fine-tuning, ensuring high performance with maximum efficiency.

  • Enhance workflows that enable AI to reason, plan and execute tasks reliably and deterministically, reducing errors and unexpected outcomes.

  • Build adaptive enterprise automation tools for multimodal use cases by integrating text, images and other data formats.

  • Design AI solutions that address enterprise needs, significantly reducing operational costs through large-scale adoption.

  • Architect, implement and deploy machine learning models tailored to agentic workflows and deterministic task execution.

  • Optimize AI systems for real-world multimodal applications, tackling complex enterprise challenges.

  • Innovate fine-tuning techniques to improve model performance and maximize resource efficiency.

  • Ensure AI systems adhere to regulatory standards while consistently delivering business value.

  • Collaborate with product, engineering and business teams to develop and deploy impactful solutions.

Skillset

  • Bachelor’s, Master’s or Ph.D. in Computer Science, Machine Learning or similar.

  • Demonstrated experience in developing and deploying machine learning models in production settings.

  • Expertise in fine-tuning large-scale models and optimizing resource utilization.

  • Strong familiarity with and intuition for working with LLMs.

  • Experience with multimodal language models and their applications in enterprise contexts.

  • Proficiency in Python and frameworks such as TensorFlow, PyTorch or similar tools.

  • Background in agentic workflows and multi-agent systems is a bonus.

  • Understanding of enterprise automation challenges and potential solutions.

Salary: $200K – $240K

Interested? Apply Now!!

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