Senior AI Engineer

Job Description

Job Description

Overview

Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans? It’s all happening on UWM’s campus, where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement.

It’s no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It’s at the very heart of how we treat each other, our clients and our community. Whether it’s providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life.

From the team member that holds a door open to the one that helps guide your career, you’ll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you’ll be welcomed here. Accepted here. And empowered to Be You Here.

More reasons you’ll love working here include:

• Paid Time Off (PTO) after just 30 days
• Additional parental and maternity leave benefits after 12 months
• Adoption reimbursement program
• Paid volunteer hours
• Paid training and career development
• Medical, dental, vision and life insurance
• 401k with employer match
• Mortgage discount and area business discounts
• Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court
• Wellness area, including an in-house primary-care physician’s office, full-time massage therapist and hair salon 
• Gourmet cafeteria featuring homemade breakfast and lunch
• Convenience store featuring healthy grab-and-go snacks
• In-house Starbucks and Dunkin
• Indoor/outdoor café with Wi-Fi

Responsibilities

• Conduct research on cutting-edge techniques in the field of generative AI: Stay updated with the
  latest research and advancements in the field of generative AI. This includes reading academic
  papers, attending conferences, and experimenting with new techniques and algorithms.
• Collaborate with cross-functional teams to integrate these models into larger systems: Work
  closely with other teams within the organization such as software engineers, data scientists,
  product managers etc., to ensure that your models can be effectively integrated into our
  products and services.
• Evaluate the performance of generative models and make necessary adjustments for optimal
  results: Regularly test your models against benchmarks and real-world scenarios to evaluate
  their performance. Make necessary tweaks and adjustments to improve their accuracy and
  efficiency.
• Stay up-to-date with the latest advancements in AI and machine learning, specifically in the area
  of generative models: Continuously learn about new developments in your field so you can apply
  the latest techniques to your work.
• Document and present your findings to both technical and non-technical stakeholders: Clearly
  communicate your methodologies, findings, and insights to different stakeholders within the
  organization. This could include writing technical reports for other engineers or presenting high level summaries to executives.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 6+ years of relevant AI/ML experience
• Proven experience working with generative models.
• Strong programming skills in Python or similar languages used in AI/ML development.
• Familiarity with machine learning frameworks like TensorFlow or PyTorch.
• Excellent problem-solving abilities and strong analytical skills.
• Ability to work independently as well as part of a team.
• Strong software design abilities and a solutions-first mindset leveraging AI capabilities
• Excellent communication, leadership, and collaboration skills working cross-functionally