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Summary

Design and deploy innovative machine learning models that enhance business operations and decision-making processes at Nelnet. This role sits at the intersection of data science and software engineering, bringing ML solutions from conceptualization to production.

Key Responsibilities: Develop, validate, and deploy machine learning models using frameworks like TensorFlow and PyTorch while collaborating with Data Scientists and Data Engineers. Optimize model performance, design scalable cloud-based pipelines on AWS, implement large language models, monitor deployed models, and maintain comprehensive documentation.
Skills & Tools: Proficiency in Python, experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), and familiarity with cloud platforms (AWS) and CI/CD pipelines. Strong collaboration and communication skills with ability to work across technical and business teams.
Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, or related field with at least 3 years of experience in machine learning engineering. U.S. citizenship and residency required.
Location: Hybrid in Lincoln, Nebraska, United States
Compensation: $85,000 – $110,000/year

Job Description

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Fast Facts

Join Nelnet as a Machine Learning Engineer, where you'll design and deploy innovative machine learning models that enhance business operations and decision-making processes. This role offers the opportunity to work at the forefront of data science and technology within a supportive team environment.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Responsibilities: Key responsibilities include developing and deploying machine learning models, collaborating with Data Scientists, optimizing model performance, designing scalable pipelines, and mentoring junior team members.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Skills: Required skills include proficiency in Python, familiarity with machine learning frameworks (like TensorFlow, PyTorch), experience with cloud platforms (AWS), and proficiency in CI/CD pipelines.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Qualifications: Preferred qualifications include a Bachelor’s or Master’s in Computer Science, Machine Learning, or related field, along with at least 3 years of experience in machine learning engineering.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Location: This position is based in Lincoln, United States; candidates must reside in the U.S. and be U.S. citizens.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Compensation: $85000 - $110000 / Annually



Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.

The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.

ABOUT US:

At Nelnet, we believe in the transformative power of data and technology to drive business innovation. Our Machine Learning Engineer role is at the core of this transformation, creating intelligent systems that automate processes, derive insights, and enable us to make better decisions. If you're passionate about applying machine learning techniques to real-world challenges, we invite you to join our team and contribute to shaping the future of our business.

ROLE OVERVIEW:

As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Your primary focus will be on designing, building, and deploying machine learning models to solve various business problems. You'll collaborate closely with Data Scientists, Data Engineers, and business stakeholders to bring machine learning solutions from conceptualization to production. You will also work extensively with large language models, implementing them in various applications to enhance our AI capabilities.

JOB RESPONSIBILITIES:

1.   Model Development: Create, validate, and deploy machine learning models using advanced algorithms and frameworks like TensorFlow, PyTorch, or scikit-learn.

2.   Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.  

3.   Model Optimization: Continuously refine and optimize models for improved performance and efficiency.

4.   Scalability: Design and implement scalable machine learning pipelines using cloud-based solutions on platforms like AWS, leveraging tools such as Terraform for infrastructure management.

5.   Large Language Models: Work with large language models, implementing them in various applications to provide advanced AI solutions. 

6.   Collaboration: Work closely with Data Engineers to ensure seamless data integration for machine learning models. 

7.   Monitoring: Implement monitoring tools to track the performance and outcomes of deployed models. Utilize CI/CD pipelines to automate the deployment and maintenance of machine learning solutions. 

8.   Documentation: Maintain thorough documentation for model architectures, data flows, and performance metrics. 

9.   Innovation: Stay updated on industry trends and emerging technologies to incorporate into existing systems. 

10.   Mentorship: Provide guidance and mentorship to junior team members in machine learning best practices.

Employment and continued employment are contingent upon obtaining and maintaining a favorable security clearance

Must be a United States Citizen


Must reside in the United States and be a United States citizen


This process involves collecting and providing 7 years of previous work experience, previous addresses, and contact information of people that can verify this information


Must not be delinquent or in default with any federal debt


Final suitability determination is the sole discretion of the Department of Education

At this time, Nelnet is unable to hire for this position in the following states:

- Washington

- Oregon

- California

- Illinois

- Michigan

- Alabama

- New York

- Vermont

- Maine

- Massachusetts

- Rhode Island

- Connecticut

- New Jersey

- Hawaii

Starting salary range for this role is $85k - $110k annually

EDUCATION: 

Bachelor's or Master's in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

EXPERIENCE: 

1.   Minimum of 3 years of experience in machine learning engineering or

related roles.

2.   Hands-on experience with machine learning frameworks such as

TensorFlow, PyTorch, or scikit-learn.

3.   Experience in deploying machine learning models in production

environments.

4.   Proven experience working with and implementing large language models.

COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:

1.   Strong programming skills in Python.

2.   Familiarity with cloud platforms like AWS for machine learning solutions.

3.   Experience with infrastructure as code (IaC) tools like Terraform.

4.   Proficiency in using CI/CD pipelines for automating machine learning work

flows.

5.   Experience with containerization technologies like Docker and orchestration

tools like Kubernetes.

6.   Strong understanding of machine learning algorithms and statistical

modeling techniques.

7.   Excellent problem-solving skills and the ability to work in a collaborative

environment.

8.   Strong critical thinking, analytical and quantitative problem-solving ability.

9.   Strong organization, time management and coordination skills to drive

projects to completion.

10.   Excellent skills in data manipulation, preprocessing, and feature

engineering.

11.   Ability to lead end-to-end development of new products.

Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: LINK.

Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone. 

Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 orcorporaterecruiting@nelnet.net.

Nelnet is a Drug Free and Tobacco Free Workplace.

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