Expert Application Engineer (Machine Learning)

Discover. A brighter future.

With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors:
We Play to Win, We Get Better Every Day &
We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.

Come build your future, while being the reason millions of people find a brighter financial future with Discover.

Job Description:

As an Expert Application Engineer focusing on Machine Learning, you’ll build and release reliable software systems at scale. By partnering with enterprise-wide) teams, you’ll develop and maintain full stack solutions that fit our business needs. You’ll use your holistic view of all products (and their interactions) to design elegant solutions and strategize the future state of our larger technical ecosystem. By independently innovating and advocating for best practices, you’ll solve complex problems and guide the team on implementing solutions from inception to production. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.

Responsibilities

• Research new technology opportunities and how they can be used to add technical capabilities at Discover
• Drives strategic technology decisions based on collaboration with a board field of experts outside of Discover
• Contributes to the external image of Discover Technology as a desired workplace to learn technology best practices
• Recognized outside of Discover as a thought leader and participates in internal and external communities
• Shapes learning paths for Discover engineers by bringing what they learn back to Discover so everyone can benefit from their experiences

Minimum Qualifications

At a minimum, here’s what we need from you:

• Bachelors – Computer Science or related
• 8+ Years – Information Technology, (Software) Engineering, or related
• Internal applicants only:
  technical proficiency rating of expert on the Dreyfus engineering scale

Preferred Qualifications

If we had our say, we’d also look for:

• Experience in Gen AI concepts like RAG, Guardrails, Vector databases
• Experience in building API for using LLMs and deploying them as Endpoints
• Experience in Kubernetes
• Experience in Docker
• Experience in building pluggable UI components (ReactJS).

#LI-KE

Application Deadline:

The application window for this position is anticipated to close on Jun-17-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

Compensation:

The base pay for this position generally ranges between $125,500.00 to $211,500.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

• Paid Parental Leave

• Paid Time Off

• 401(k) Plan

• Medical, Dental, Vision, &
  Health Savings Account

• STD, Life, LTD and AD&
  D

• Recognition Program

• Education Assistance

• Commuter Benefits

• Family Support Programs

• Employee Stock Purchase Plan

Learn more at mydiscoverbenefits.Com.

What are you waiting for? Apply today!

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.

Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights &
Pay Transparency Nondiscrimination Provision)

Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email [email protected]. Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.