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Senior Full Stack Machine Learning Engineer Jobs in Idaho

Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Build custom software components and analytics applications. Create ...

... DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined with strong analytical, communication, and collaboration skills. Preferred Qualifications: * Strong foundation in machine learning and ...

We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first-class capability-both in the development workflow and in production systems. This role focuses on ...

We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first-class capability-both in the development workflow and in production systems. This role focuses on ...

We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first-class capability-both in the development workflow and in production systems. This role focuses on ...

We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first-class capability-both in the development workflow and in production systems. This role focuses on ...

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Senior Full Stack Machine Learning Engineer information

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What cities in Idaho are hiring for Senior Full Stack Machine Learning Engineer jobs? Cities in Idaho with the most Senior Full Stack Machine Learning Engineer job openings:
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Micron

Boise, ID

Full-time

Medical, Dental, Vision, PTO

Re-posted 23 days ago


Micron Technology rating

8.7

Company rating: 8.7 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Analyze existing data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Build knowledge by keeping up with the latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process. Build and maintain Data/Solution Pipeline to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Build custom software components and analytics applications. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Implement strategies for deploying machine learning models into production environments. Responsible for selecting the best model to meet both model performance and minimize compute costs. Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement. Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following organizational best practices. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Build enterprise-grade applications leveraging Generative AI technologies, including large language models (LLMs), multimodal architectures, and advanced prompt engineering. Fine-tune pre-trained models on domain-specific datasets, Implement retrieval-augmented generation (RAG) for knowledge grounding, and build agentic systems that orchestrate autonomous workflows and integrate with domain-specific APIs. May telecommute part-time.

Employer will accept a Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or related field and 3 years of experience in the job offered or in a related occupation.

Position requires:

1. Building and executing end to end ML systems

2. TensorFlow, PyTorch, and scikit learn.

3. Prediction (regression) and classification algorithms; deep learning, reinforcement learning, and generative AI

4. Python or Java

5. Pub/Sub, Solace, or Kafka

6. Developing ML/AI solutions in GCP, Azure, or AWS

7. Docker and Kubernetes

8. Developing ETL/ELT pipelines using Kubeflow, Dataflow, or Airflow

9. SQL

10. Data structures and schemas

11. APIs to expose trained machine learning models for consumption

12. Building enterprise-grade applications using Generative AI technologies

13. Retrieval-Augmented Generation (RAG) for knowledge grounding and fine-tuning pre-trained models on domain-specific datasets

14. Designing and implementing agentic systems that orchestrate autonomous workflows and integrate with APIs

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.


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