ZipRecruiter

Log In

1

Machine Learning Engineer Opt Jobs in Boise, ID (NOW HIRING)

Micron

Sr EDA/CAD Engineer

Boise, ID · On-site

$98K - $267K/yr

Explore and apply generative AI and machine learning techniques to practical custom IC design and ... Strong programming skills in Python, experience developing maintainable technical software or ...

Micron Technology

Sr EDA/CAD Engineer

Boise, ID · On-site

$98K - $267K/yr

Explore and apply generative AI and machine learning techniques to practical custom IC design and ... Strong programming skills in Python, experience developing maintainable technical software or ...

Micron

Sr Engineer, Photo DRAM

Boise, ID · On-site

$99K - $136K/yr

As a Senior Engineer in Photolithography Process Development, you will play a key role in ... Apply data analytics and machine learning techniques to identify root causes, optimize process ...

Micron Technology

Sr Engineer, Photo DRAM

Boise, ID · On-site

$99K - $136K/yr

As a Senior Engineer in Photolithography Process Development, you will play a key role in ... Apply data analytics and machine learning techniques to identify root causes, optimize process ...

Micron

ID1 YIELD ANALYSIS ENGINEER

Boise, ID

Develop new tools for yield analysis and implement machine learning technique to improve analysis ... Employer will accept a Bachelor's degree in Electrical, Chemical and Material Science Engineering ...

Micron Technology

ID1 YIELD ANALYSIS ENGINEER

Boise, ID · On-site

Develop new tools for yield analysis and implement machine learning technique to improve analysis ... Employer will accept a Bachelor's degree in Electrical, Chemical and Material Science Engineering ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and ...

Micron

Sr Data Scientist

Boise, ID

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and ...

Micron

AI Workforce Development Engineer

Boise, ID · On-site

Bachelor's degree in Computer Science, Data Science, Engineering, or a related STEM field, or equivalent experience in practice. * 5+ years in a software engineering, machine-learning, data science ...

Micron

Senior Engineer, Technology - AMAIS

Boise, ID

$99K - $136K/yr

Work in a multi-functional team of modeling engineers and AI experts highly skilled in modeling of ... Position requires: 1. Thermal modeling 2. Computer vision 3. Machine learning and deep learning ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Boise, ID

Machine Learning Engineer Opt information

See Boise, ID salary details

$30K

$122.6K

$184.2K

How much do machine learning engineer opt jobs pay per year?

As of Jul 24, 2026, the average yearly pay for machine learning engineer opt in Boise, ID is $122,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $147,500.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Boise, ID? For Machine Learning Engineer Opt jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Boise, ID look for? The top searched job categories for Machine Learning Engineer Opt jobs in Boise, ID are:
What cities near Boise, ID are hiring for Machine Learning Engineer Opt jobs? Cities near Boise, ID with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Boise, ID as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,557 per year, or $58.9 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Boise, ID • On-site

Other

Posted 2 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply