Search jobs > Washington, DC > Machine learning engineer

Machine Learning Engineer

Nelnet
Washington, DC, United States
$90K-$115K a year
Full-time

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

Feature Engineering : Collaborate with Data Scientists to engineer features for machine learning models.Model Optimization : Continuously refine and optimize models for improved performance and efficiency.

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

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

Collaboration : Work closely with Data Engineers to ensure seamless data integration for machine learning models.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.Documentation : Maintain thorough documentation for model architectures, data flows, and performance metrics.

Innovation : Stay updated on industry trends and emerging technologies to incorporate into existing systems.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 clearanceMust be a United States CitizenMust reside in the United States and be a United States citizenThis process involves collecting and providing 7 years of previous work experience, previous addresses, and contact information of people that can verify this informationMust not be delinquent or in default with any federal debtFinal suitability determination is the sole discretion of the Department of EducationAt 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- HawaiiStarting salary range for this role is $90k - $115k annuallyEDUCATION : Bachelor's or Master's in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

EXPERIENCE : Minimum of 3 years of experience in machine learning engineering orrelated roles.Hands-on experience with machine learning frameworks such asTensorFlow, PyTorch, or scikit-learn.

Experience in deploying machine learning models in productionenvironments.Proven experience working with and implementing large language models.

COMPETENCIES SKILLS / KNOWLEDGE / ABILITIES : Strong programming skills in Python.Familiarity with cloud platforms like AWS for machine learning solutions.

Experience with infrastructure as code (IaC) tools like Terraform.Proficiency in using CI / CD pipelines for automating machine learning workflows.

Experience with containerization technologies like Docker and orchestrationtools like Kubernetes.Strong understanding of machine learning algorithms and statisticalmodeling techniques.

Excellent problem-solving skills and the ability to work in a collaborativeenvironment.Strong critical thinking, analytical and quantitative problem-solving ability.

Strong organization, time management and coordination skills to driveprojects to completion.Excellent skills in data manipulation, preprocessing, and featureengineering.

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 an Equal Opportunity Employer, complies with Executive Order 11246, and takes affirmative action to ensure that qualified applicants are employed, and that employees are treated during employment, without regard to race, color, religion / creed, national origin, gender, or 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 or State law or local ordinance.

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 or corporaterecruiting@nelnet.

net .Nelnet is a Drug Free and Tobacco Free Workplace.You may know Nelnet as the nation’s largest student loan servicer but we do more than that.

A lot more. We’re also a professional services company, consumer loan originator and servicer, payment processor, renewable energy innovator, and K-12 and higher education expert (and that’s just a shortlist).

For over 40 years, we’ve been serving our customers, associates, and communities to make dreams possible.EEO Info () EEO Letter () EPPA Info () FMLA Info ()

3 days ago
Related jobs
Promoted
iO Associates - US
Washington, District of Columbia

An innovative tech company is looking for a talented Machine Learning Engineer to join their team on a Perm basis. The firm are looking for a Machine Learning Engineer with advanced experience working with ML Models, NLP, LLMs, and automated Data Pipelines. Developing multi-layered deployment archit...

Promoted
Booz Allen Hamilton
Washington, District of Columbia

Artificial Intelligence and Machine Learning Engineer. As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. As an Artificial Intelligence and Machine Learning (AI/ML) engineer, you understand the need for robust, scalable tools that...

Promoted
M9 Solutions
Washington, District of Columbia

Cloud Engineer (Machine Learning). Responsible for developing and deploying machine learning models to solve complex problems across a Cloud infrastructure that houses sensitive data and models that support mission critical operations. Work closely and collaborate with a dynamic cross-functional tea...

Promoted
Capital One
Washington, District of Columbia

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe...

RAND
Washington, District of Columbia

The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models. The successful candidate will have a strong background in machine learning...

CoStar Group
Washington, District of Columbia

Machine Learning Engineer, Data Scientist or in a related role for candidates with a PhD, or 5+ years of experience for candidates with a Master’s degree. Design, build, test, and deploy scalable machine learning and statistical models to analyze large volumes of data. Extensive programming experien...

Booz Allen Hamilton
Washington, District of Columbia

Cyber Machine Learning Engineer. Experience with data-oriented tasks for cybersecurity or anti-fraud solutioning, including developing engineering analysis, machine learning algorithms, data models, or architecture strategy for cyber or fraud defense purposes. Are you excited at the prospect of unlo...

Kaztronix
Washington, District of Columbia

Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and large language models. Machine Learning Engineer (Mid-Level). Do you thrive on applying machine learning (Client) to solve real-world problems and build intelligent systems? Are you ...

Capital One
Washington, District of Columbia

Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning archite...

Booz Allen Hamilton
Washington, District of Columbia

Cyber Machine Learning Engineer. Experience with data-oriented tasks for cybersecurity or anti-fraud solutioning, including developing engineering analysis, machine learning algorithms, data models, or architecture strategy for cyber or fraud defense purposes. Are you excited at the prospect of unlo...