R&D Software Engineer - Generative AI

Palo Alto, CA, United States

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Join Team Amex and let's lead the way together.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives.  Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems.  American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source.  And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development.  Find your place in technology on #TeamAmex.

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

The ideal candidate will have 4+ years of experience and a strong desire to conduct cutting-edge research, develop novel frameworks, and contribute to scientific publications.

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

·       A BsC in Computer Science or related.

·       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 (Optional):

·       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

·       If you are an enthusiastic Software Engineer eager to make a significant impact in the field of Generative AI, we encourage you to apply for this exciting opportunity.

Salary Range: $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.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

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

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

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.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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