Senior Machine Learning Engineer
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Job Location:
Raleigh, WV - USA
Monthly Salary:
$ 157000 - 243400
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
If youre passionate about building a better future for individuals communities and our countryand youre committed to working hard to play your part in building that futureconsider WGU as the next step in your career.
Driven by a mission to expand access to higher education through online competency-based degree programs WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century one that has received praise from academic industry government and media leaders. Whatever your role working for WGU gives you a part to play in helping students graduate creating a better tomorrow for themselves and their families.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU it is not typical for an individual to be hired at or near the top of the range for their position and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Job Description
The Senior ML Engineer builds and deploys state-of-the-art NLP/LLM models at scale in a cloud environment with a focus on improving student learning experiences. You lead by example mentor junior engineers and collaborate across cross-functional teams. You actively research the latest NLP/LLM techniques and translate them into practical scalable solutions for the education domain. You communicate clearly with leadership and peers influence product directions and drive innovation that challenges the status quo.Key Responsibilities
Strategic leadership
Define NLP initiatives roadmaps and success metrics in collaboration with the MLE manager.
Champion best practices in ML data governance and security within the team and across the organization.
Mentor junior engineers and serve as a technicalleadon complex ML projects.
Model research development and deployment
Research and prototypestate-of-the-artNLP/LLMtechniques;evaluate and select approaches suitable for production.
Develop train fine-tune andoptimizeproduction-grade NLP/LLM models.
Deploy models to production with emphasis on performance scalability reliability and observability.
Data pipelines and collaboration
Partner with Data Engineering to build robust data processing pipelines and high-quality training/inference data.
Work withMLOpsto ensure scalable reproducible deployment monitoring and model governance.
Collaborate with Software Infrastructure and Security teams to integrate ML solutions into the university ecosystem.
Product impact and stakeholder engagement
Translate business requirements into NLP capabilities; collaborate with product stakeholders tovalidateoutcomes.
Apply NLP insights to unstructured data sources (e.g. transcripts emails mentor notes) to inform learning experiences.
Continuous improvement and learning
Stay current with NLP/LLM DL and AI trends; proactively apply innovations to use cases.
Contribute to standards guidelines and documentation for ML practices.
Communicate status risks and progress to leadership and cross-functional teams.
Minimum Qualifications:
Masters degree in Computer Science Software Engineering Data Science Machine Learning Mathematics Physics or a related field; or equivalent relevant experience.
5 years of software development in a cloud environment.
3 years building large-scale ML/DL models from POC to production.
Hands-on experience with one or more DL frameworks (e.g.PyTorch TensorFlow).
Experience with cloud data platforms (AWS Azure GCP) and data/ML tooling (e.g. DatabricksMLFlowStreamlit).
Proficiencyin ETL feature engineering datavisualization.
Experience operating high-availability fault-tolerant scalable distributed systems withGitOpspractices (Terraform preferred).
Familiarity with stream processing (ksqlDB Spark Streaming Beam/Flink) and modern ML deployment patterns.
Strong programming skills in Python Java/Scala and/orGo;fluency in clean maintainable code.
Excellent analytical critical thinking and problem-solving abilities.
Effective written and verbal communication; comfortable explaining technical concepts to non-experts and senior leadership.
Ability to thrive in a fast-paced collaborative environment.
Experience guiding junior engineers and providing technical leadership.
Preferred Qualifications
PhD in a related field.
Experience with Databricks and a broad range of ML tooling.
Equivalents and Substitutions
Equivalent relevant experience may substitute for degree requirements (1 year of experience per year of education at the discretion of the Hiring Manager).
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical dental vision telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual flexible paid sick time with no need for accrual 11 paid holidays and other paid leaves including up to 12 weeks of parental leave.How to Apply: If interested an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. Its not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
Required Experience:
Senior IC
