Machine Learning Engineer

Hire Today; San Jose (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading digital solutions company in California is seeking a talented machine learning specialist to develop models that evaluate the quality and safety of generative AI content. The ideal candidate will have an MS or PhD in Computer Science or a related field, strong knowledge of machine learning and deep learning, and experience with programming in Python and PyTorch. This role involves collaborating with multidisciplinary teams to deploy models as real-time services.

Qualifications

• MS or PhD in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent.
• Strong ML/DL knowledge; prior exposure to vision-language models is a plus.

Responsibilities

• Build and fine-tune models to evaluate generative content.
• Leverage human feedback data to train robust evaluation and reward models.
• Deploy models as real-time services and collaborate with product/research teams.

Skills

Wireframing

Figma

Teamwork

Education

MS/PhD in Computer Science

MS/PhD in Electrical Engineering

MS/PhD in Applied Math

Tools

Python

PyTorch

Job description

• Changing the world through digital experiences, empowering people to create powerful content.
• Committed to exceptional employee experience, inclusivity, and innovation.
• Global leader in creative and digital software solutions.

Job Role

Build ML models to evaluate quality, aesthetics, and safety of generative AI content.

Responsibilities

• Build and fine-tune models (ViTs, VLMs, multimodal encoders) to evaluate generative content.
• Leverage human feedback data to train robust evaluation and reward models.
• Deploy models as real-time services and collaborate with product/research teams.

Required Skills

• Wireframing
• Figma
• Teamwork

Preferred Qualifications:

MS/PhD in CS, EE, Applied Math, or equivalent; strong ML/DL knowledge; Python & PyTorch; prior exposure to vision-language models is a plus.

Required Qualifications:

MS or PhD in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent