UX Designer medical devices

MACHINE LEARNING TECHNOLOGIES LLC; Raleigh (NC); On-site; USD 40,000 - 70,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Raleigh, NC is looking for a Senior UX Engineer to enhance software products using UX best practices. The candidate should have extensive Figma experience and collaborate across teams to design user-friendly interfaces.

Responsibilities include creating high-fidelity prototypes and participating in usability testing. A bachelor's degree in a related field along with 5+ years of experience is required.

Remote work options are available, and the company values diversity and equal opportunity.

Qualifications

• 5+ years of relevant UX design experience.
• Strong understanding of UX design principles and methodologies.
• Ability to travel to Baxter or customer sites.

Responsibilities

• Design user-friendly interfaces aligned with established standards.
• Participate in user research activities.
• Create high-fidelity UI prototypes.
• Plan and support usability testing.
• Provide UX recommendations to improve product usability.

Skills

UX design principles

Figma

Communication skills

Collaboration

Education

Bachelor’s degree in Human Factors, UX Design, HCI, or related field

Tools

Figma

Job description

Job Overview

Job ID: J53052
Title: UX Designer medical devices
Location: Raleigh, NC
Duration: 8 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C

Job Description

We are seeking a Senior UX Engineer with a strong foundation in user experience design principles and visual design systems. This role will contribute to the development of new and enhanced software products by applying UX best practices, leading key design initiatives, and collaborating across cross‑functional teams. The ideal candidate has deep Figma expertise, including design systems, components, tokens, and scalable design language systems.

Key Responsibilities

• Design intuitive, user-friendly interfaces aligned with established standards and guidelines including Baxter design patterns, W3C, Google Material Design, Apple Human Interface Guidelines, and Android Design Guidelines.
• Participate in user research activities such as customer interviews and usability studies to understand user needs.
• Create high‑fidelity UI prototypes for usability testing and stakeholder demonstrations.
• Plan and support usability testing, including writing test plans, moderating sessions, and documenting findings.
• Develop and maintain UX documentation and design specifications.
• Provide UX recommendations to cross‑functional teams to improve product usability and workflow.
• Work independently while collaborating closely with product, engineering, and other stakeholders.
• Use engineering project tools and methodologies to track and communicate work progress.

Required Qualifications

• Strong understanding of UX design principles and methodologies.
• Advanced experience with Figma (components, variables, auto‑layout, themes, and design systems).
• Experience contributing to or maintaining a Design Language System (DLS).
• Strong communication skills with the ability to explain and document design decisions.
• Proven ability to collaborate within cross‑functional product teams.
• Ability to balance independent work with strong team communication.
• Willingness and ability to travel to Baxter or customer sites and meet hospital credentialing requirements.

Preferred Qualifications

• Experience working on medical devices or within other regulated industries.

Education & Experience

• Bachelor’s degree in Human Factors, UX Design, HCI, or a related field (or equivalent experience).
• 5+ years of relevant UX design experience.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.