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Senior Full Stack Machine Learning Engineer Jobs in Idaho

About the Role We are seeking an experienced, highly motivated Senior Full-Stack Engineer to join our growing team. The ideal candidate will be a strong collaborator with deep expertise in modern ...

As a Machine Learning Engineer in the Identity and Fraud business at Equifax, you will solve ... stacks * Adhere to and influence best practices (i.e. security, architecture, platform, etc.

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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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:
Senior Full Stack Engineer (Typescript)

Senior Full Stack Engineer (Typescript)

VYNYL

Boise, ID • On-site, Remote

$135K - $175K/yr

Other

Re-posted 8 days ago


Job description

About the Role

We are seeking an experienced, highly motivated Senior Full-Stack Engineer to join our growing team. The ideal candidate will be a strong collaborator with deep expertise in modern application development technologies and practices. The focus of this role is on building and maintaining robust, scalable, and high-performance applications across the full stack using TypeScript and some Python. Some experience with React and/or Angular would be helpful.

This role requires not only technical proficiency but also a forward-thinking perspective on the role of Artificial Intelligence (AI) in modern software development. Candidates must demonstrate an active engagement with AI tools, understanding their practical use, current limitations, and the strategic opportunities they present for the engineering discipline.

Mainly remote work: seeking candidates in the greater Los Angeles area to mainly work remotely with some on-site work required at times.

Key Responsibilities
  • Lead the design, development, and deployment of complex features across both the frontend and backend of our clients' products.
  • Write clean, maintainable, and well-tested code using TypeScript for type safety and scalability on both the client and server.
  • Collaborate with product managers, designers, and other engineers to translate business requirements into technical solutions.
  • Collaborate with other team members to set technical standards, establish best practices, and make architecture decisions.
  • Actively research and evaluate new technologies, tools, and methodologies to improve the engineering process.
  • Demonstrate and articulate a practical understanding of AI tools (e.g., planning, code generation, intelligent testing frameworks) in daily engineering tasks, including their effective application and inherent limitations.
Qualifications
  • 5+ years of experience in full-stack software development.
  • Expert-level proficiency with TypeScript, including complex type definitions and advanced language features.
  • Strong experience with server-side development, including building and consuming RESTful APIs or GraphQL services (proficiency with Hono Framework is a plus).
  • Proficiency with relational and non-relational databases
  • Familiarity with modern CI/CD pipelines, containerization (Docker), and cloud platforms (primarily AWS, with experience in GCP and/or Azure a plus).
  • Preferred, but not required: Proficiency with React and its ecosystem (e.g., Hooks, Context API, Next.js, or similar frameworks). Experience with Angular (any version) in a professional capacity is a plus.
AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

  • Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
  • Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
  • Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
  • Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.
Salary Range $135,000 - $175,000Application Process

A cover letter is required. Your cover letter should be informed by the "AI and Forward-Looking Requirements" section above.

The hiring process includes:

  • Initial Screening Call
  • A Technical Assessment sent by email and returned by email
  • A Panel Interview