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Machine Learning Software Engineer Manager

📁
Information Systems & Technology
💼
Enterprise Technology Operations
📅
066338 Requisition #

Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.

 

As a Zions Bancorporation Machine Learning Software Engineer Manager, you will lead an Agile team dedicated to productionizing machine learning applications and systems at scale. You will be involved in the detailed technical design, development, and implementation of machine learning applications using both existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 

 

The Machine Learning Software Engineer Manager overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:

  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Qualifications:

  • Bachelor's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.  Master’s degree preferred.
  • 10+ years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 5 years of experience programming with Python, Scala, or Java
  • At least 5 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of experience leading teams developing ML solutions
  • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow is a plus.
  • 3+ years of experience developing performant, resilient, and maintainable code is a plus.
  • 3+ years of experience with data gathering and preparation for ML models is a plus
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform is plus
  • 3+ years of experience building production-ready data pipelines that feed ML models is a plus.
  • Ability to communicate complex technical concepts clearly to a variety of audiences is a plus.

 

Location:

 

This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.

 

The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus will be the company’s primary technology and operations center.  This modern and environmentally friendly technology center will enable Zions to continue to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:

  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

 

Benefits: 

  • Medical, Dental and Vision Insurance - START DAY ONE! 
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

 

Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

This position will be open until filled.

 

To review our Benefits Summary click here.

 

All candidates, including those with criminal histories will be considered for employment. However, a background check adjudicated consistently with the FDIC Section 19 regulation will be completed on any candidate who accepts a conditional job offer from the Company. Because the Company is a financial institution, the FDIC guidelines apply to all positions within the company and as such any and all job duties have a direct relationship to a candidate’s criminal history and that criminal history would need to align with the FDIC Section 19 regulations.

 

Zions Bancorporation, National Association prohibits illegal discrimination and reaffirms its policy of providing Equal Employment Opportunity (EEO), by extending equal employment and advancement opportunities to all employees and applicants for employment, without regard to race, color, religion, age (40 and over), sex, pregnancy, gender, disability, national origin, ethnic background, citizenship, protected veteran status, military service, sexual orientation, gender identity, genetic information or any other characteristic protected by applicable federal, state or local law.

 

It is the Company’s policy not to discriminate because of a person’s relationship or association with a protected veteran. This includes spouses and other family members. Also, Zions will safeguard the fair and equitable treatment of protected veteran spouses and family members with regard to all employment actions and prohibit harassment of applicants and employees because of their relationship or association with a protected veteran.

 

Applicants Requesting Accommodations: If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access our career site.  You can request reasonable accommodations by contacting us at careers@zionsbancorp.com or 801/844-7618.  Please email your resume/cover letter, indicate what position you are interested in and include "Accommodation needed" in the subject line to ensure your information is routed to the appropriate contact.

 

Click here to view our EEO Statement.

 

Click here to view applicable Federal, State and/or local employment law posters.

 

Click here to view our Pay Transparency Notice.

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