Gen AI R&D Software Engineer - Hybrid with Research Impact

Archer Daniels Midland; Honolulu (HI); Hybrid; USD 85,000 - 150,000; Full time

Benefits offered by this job

Bonus incentives

Medical benefits

Retirement match

Wellness programs

Flexible working model

Job summary

American Express is seeking a highly motivated R&D Software Engineer to join our Generative AI research team. You will research Generative AI, develop innovative algorithms, and collaborate with cross-functional teams to translate findings into practical applications.

The role offers a salary range of $85,000 to $150,000 per year, plus bonus and benefits, with a flexible hybrid/onsite/remote arrangement depending on role and location.

Qualifications

• BSc in Computer Science or related field.
• Proficiency in Python programming.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with version control systems like Git.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Passion for research and innovation in Generative AI.

Responsibilities

• Conduct research in Generative AI and related domains.
• Develop and implement innovative algorithms and frameworks.
• Collaborate with cross-functional teams to integrate research findings into practical applications.
• Contribute to writing and publishing scientific papers.
• Stay up-to-date with the latest advancements in the field.

Skills

Python programming

Analytical skills

Communication skills

Collaboration

Generative AI knowledge

Education

BSc in Computer Science or related field

Tools

TensorFlow

PyTorch

Git

Job description

American Express is seeking a highly motivated R&D Software Engineer to join our Generative AI research team. You will research Generative AI, develop innovative algorithms, and collaborate with cross-functional teams to translate findings into practical applications.

The role offers a salary range of $85,000 to $150,000 per year, plus bonus and benefits, with a flexible hybrid/onsite/remote arrangement depending on role and location.