R&D Software Engineer - Generative AI

Archer Daniels Midland

Honolulu (HI)

Hybrid

USD 85,000 - 150,000

Full time

14 days+
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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

We are seeking a highly motivated R&D Software Engineer with a passion for innovation to join our Generative AI research team at American Express.

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.
Required 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.
Preferred Skills
  • Knowledge of additional ML frameworks like Keras, Scikit‑learn, or Hugging Face.
  • Familiarity with cloud platforms such as AWS or GCP.
  • Experience with data visualization libraries like Matplotlib or Seaborn.
Salary

$85,000.00 to $150,000.00 annually + bonus + benefits. The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job‑related factors.

Benefits

We back our colleagues and their loved ones with benefits and programs that support their holistic well‑being.

  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well‑being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on‑site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

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