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Work From Home Full Stack Machine Learning Engineer Jobs in Texas

Matic

Full-Stack Engineer

Dallas, TX · On-site +1

About the role We're looking for a versatile Full-Stack Engineer who is comfortable owning work end-to-end - from polished SvelteKit UIs to Python/Node backend APIs to cloud infrastructure. A key ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX · On-site +1

... from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our ... Ability to work across the full stack and move fluidly between programming languages and MLOps ...

Huntington

Actimize Lead Full-stack Engineer

Dallas, TX · On-site +1

$70K - $140K/yr

As a Lead Full-stack Engineer you will work on Anti-Money Laundering/Bank Secrecy Act (AML/BSA ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Huntington

Actimize Lead Full-stack Engineer

Dallas, TX · On-site +1

$70K - $140K/yr

As a Lead Full-stack Engineer you will work on Anti-Money Laundering/Bank Secrecy Act (AML/BSA ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

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All JobsFull Stack Machine Learning Engineer JobsWork From Home Full Stack Machine Learning Engineer JobsWork From Home Full Stack Machine Learning Engineer Jobs in Texas

Work From Home Full Stack Machine Learning Engineer information

What is the difference between Work From Home Full Stack Machine Learning Engineer vs Work From Home Data Scientist?

AspectWork From Home Full Stack Machine Learning EngineerWork From Home Data Scientist
Required CredentialsBachelor's/Master's in CS, ML certifications, programming skillsBachelor's/Master's in CS, statistics, data analysis certifications
Work EnvironmentRemote, collaborative teams, software development focusRemote, research-oriented, data analysis and visualization
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research firms

While both roles often work remotely and require strong technical skills, Full Stack Machine Learning Engineers focus on developing and deploying ML models within software systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles overlap but differ mainly in their core responsibilities and technical focus.

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Work From Home Full Stack Machine Learning Engineer jobs near you

Full-Stack Engineer

Matic

Dallas, TX • On-site, Remote

Full-time

Re-posted 15 days ago

Job description

Matic is an AI-native clinical intelligence platform designed to orchestrate care-to-collection workflows the way clinicians actually practice. Through a growing suite of modular AI agentic solutions, Matic connects clinical documentation, summaries, coding, workflow, and follow-up into a unified and connected intelligence layer that preserves clinical intent, reduces fragmentation, and integrates seamlessly within existing physician systems.
To learn more about how Matic orchestrates intelligence across the care-to-collection lifecycle, visit maticinside.ai.
About the role
We're looking for a versatile Full-Stack Engineer who is comfortable owning work end-to-end - from polished SvelteKit UIs to Python/Node backend APIs to cloud infrastructure. A key part of this role will be leading application development for a new healthcare group partnership, where you'll take projects from zero to one: implementing UIs from Figma, defining database schemas, architecting cloud function infrastructure, and building integrations with the tools and systems our health group partners already use.
Beyond that greenfield work, you'll wear multiple hats across the broader Matic platform. Some days you will be building new product features, other days debugging an AI output quality issue with a physician or wiring up an EHR integration. If you thrive in dynamic environments and want your work to have a direct, meaningful impact on healthcare, this role is for you.
What you'll do
  • Lead new application development for healthcare group partnerships, generating AI mockups to communicate functionality and design direction, proposing database schemas, setting up cloud infrastructure, and building API integrations with existing partner tools and workflows - all in close collaboration with the Matic team.
  • Build and maintain full-stack features in our SvelteKit application, owning both front-end implementation and back-end APIs.
  • Deploy and maintain Google Cloud infrastructure across Cloud Run, Cloud Functions, and other GCP primitives in both Node.js and Python runtimes.
  • Develop and maintain LLM integrations, including prompt engineering, model routing, evaluation, and output quality testing across hosted and self-managed AI platforms.
  • Build agentic AI workflows that automate clinical documentation tasks and integrate our platform with EHR systems (e.g., Epic, eClinicalWorks, Athena) via FHIR and proprietary APIs.
  • Triage and resolve AI quality issues flagged by physicians, diagnosing failure modes in note generation and applying targeted fixes.
  • Write comprehensive tests and actively participate in QA to ensure our AI deployments work reliably in clinical settings.
  • Collaborate directly with physicians to understand clinical workflows firsthand and translate their feedback into product improvements.

Qualifications
Required
  • Strong Python and/or Node.js skills, including REST APIs, async patterns, and serverless functions
  • Production experience with SvelteKit and TypeScript
  • Proficiency with Tailwind CSS and the ability to translate Figma designs into polished UI
  • Hands-on experience with Google Cloud Platform, including Cloud Run, Cloud Functions, GCS, IAM, and related services
  • Firebase / Firestore experience
  • Practical experience working with LLM APIs (OpenAI, Anthropic, Gemini, or similar), including prompt engineering, function calling, and output evaluation
  • Rigorous attention to detail and a strong testing mindset; our systems operate in clinical environments where errors have real consequences, and we hold a strict "don't ship broken" standard regardless of how the code was written
  • Fluent English with clear written and verbal communication skills - essential when working directly with clinical users
Preferred
  • Experience with EHR integrations or FHIR standards
  • Background in or exposure to healthcare / clinical workflows
  • Familiarity with agentic frameworks
  • Experience with vector databases or RAG pipelines
  • Experience building instrumentation dashboards
  • Experience building test suites
  • Experience with AI-led workflows
  • Experience with deep product analytics
Why This Role?
  • The new healthcare partner application is greenfield, meaning you'll make the foundational decisions that shape what it becomes rather than inheriting someone else's architecture.
  • The features you build are used by physicians during patient encounters, the quality issues you fix affect real documentation, and the integrations you wire up reduce real administrative burden. The impact is direct and tangible.
  • From SvelteKit to GCP to LLM integrations to EHR APIs, this isn't a role where you specialize yourself into a corner. You'll develop depth across the full delivery surface of a modern AI platform.
  • Matic is a small, senior, focused team. There's no layer of abstraction between your work and the people who depend on it - internally or in the field.

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