ZipRecruiter

Log In

1

Multimodal Learning Jobs in Texas (NOW HIRING)

Abbott

Research Scientist II

Plano, TX · On-site

... multimodal datasets integrating biological, electrophysiological, imaging, and clinical data. * Partner with computational scientists, data scientists, and engineers to support machine learning and ...

Abbott

Research Scientist II

Plano, TX · On-site

... multimodal datasets integrating biological, electrophysiological, imaging, and clinical data. * Partner with computational scientists, data scientists, and engineers to support machine learning and ...

Minnstate

Nursing AD Instructor

Austin, TX

$44K - $101K/yr

The instructor may be assigned to teach in a traditional classroom, a virtual (online) classroom, or both (multimodal). Activities related to comprehensive community college teaching and learning ...

CCS INC

Lead Gen AI Engineer

Plano, TX · On-site

$85 - $110/hr

... multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt engineering, instruction tuning, and reinforcement learning ...

CCS INC

Gen AI Engineer

Plano, TX · On-site

$40 - $50/hr

... multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt engineering, instruction tuning, and reinforcement learning ...

Procom

Backend Engineer

Austin, TX · On-site +1

... multimodal). • Comfortable debugging distributed systems under load. • Bias toward shipping and learning from production behavior. Nice-to-Have Skills: • Experience with Python and NodeJs. • ...

Saransh Inc

Gen AI with Co Pilot - Remote

Westlake, TX · On-site

... multimodal models, and MLOps. * Drive experimentation with new models, prompt engineering, and ... Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ...

previous page

Showing results 41-60

All JobsMultimodal Learning JobsMultimodal Learning Jobs in Texas

Multimodal Learning information

What is multimodal learning?

Multimodal learning is an area of machine learning that involves integrating and processing information from multiple types of data, such as text, images, audio, and video. The goal is to create models that can understand and make predictions based on more than one data modality, similar to how humans use various senses. This approach is used in applications like speech recognition with visual cues, image captioning, and video analysis. By combining different data types, multimodal learning systems can achieve better accuracy and more robust understanding.

What are the key skills and qualifications needed to thrive in multimodal learning, and why are they important?

To excel as a Multimodal Learning Specialist, you need a solid background in machine learning, data science, and computer vision, often supported by an advanced degree in a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience integrating data from diverse sources (e.g., text, audio, images), and knowledge of relevant algorithms are crucial. Strong problem-solving abilities, creativity, and effective collaboration are standout soft skills for this role. These competencies are vital for developing innovative models that can process and interpret complex, multi-source data to drive impactful AI solutions.

What are some common challenges faced by professionals working in multimodal learning roles, and how can they be addressed?

Professionals in multimodal learning frequently encounter challenges related to integrating and aligning data from multiple sources, such as text, images, audio, or video. Ensuring data quality and consistency across modalities can be complex, and developing models that effectively combine heterogeneous information often requires advanced technical skills and innovative thinking. Collaboration with domain experts and other data scientists is key to overcoming these obstacles, as is staying up to date with the latest research and tools in machine learning. Regular team meetings and cross-disciplinary workshops can help foster a collaborative environment and promote knowledge sharing.

What is the difference between Multimodal Learning vs Data Scientist?

AspectMultimodal LearningData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or Computer ScienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness, tech companies, analytics teams
Industry UsageAI research, multimedia applications, roboticsData analysis, predictive modeling, business insights

Multimodal Learning focuses on developing AI models that process and integrate multiple data types like images, text, and audio. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve data and algorithms, Multimodal Learning is specialized in AI model development for complex data integration, whereas Data Scientists work broadly across data analysis and interpretation.

What are popular job titles related to Multimodal Learning jobs in Texas?

For Multimodal Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Multimodal Learning jobs in Texas look for?

The top searched job categories for Multimodal Learning jobs in Texas are:

What cities in Texas are hiring for Multimodal Learning jobs?

Cities in Texas with the most Multimodal Learning job openings:

Multimodal Learning jobs near you
Infographic showing various Multimodal Learning job openings in Texas as of September 2026, with employment types broken down into 53% Full Time, 17% Part Time, 15% Temporary, and 15% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Research Scientist II

Plano, TX • On-site

Abbott
See more jobs at Abbottexternal

Full-time

Medical, Retirement

Re-posted 14 days ago

Key responsibilities

  • Support preclinical and translational neuroscience research programs focused on neuromodulation mechanisms, therapeutic target discovery, and biomarker identification.

  • Design, execute, and optimize molecular and cellular biology experiments.

  • Contribute to discovery and validation of molecular, physiological, and digital biomarkers associated with therapeutic response.

Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Job Title

Research Scientist II, Neuroscience (Molecular Biology, AI & Adaptive Neurotechnology)

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of.
  • Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical plan in the next calendar year.
  • An excellent retirement savings plan with a high employer contribution.
  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.
  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Plano, TX location in the Neuromodulation division. Abbott Neuromodulation is advancing next-generation therapies for chronic pain, movement disorders, and other neurological conditions through innovative bioelectronic medicine, digital health technologies, and intelligent neuromodulation systems. We are seeking a Research Scientist II with strong molecular biology, cellular neuroscience, tissue engineering, or related life sciences expertise and an AI-first mindset to support translational research at the intersection of biology, neural systems, and implantable medical devices.

This role will contribute to the discovery and development of biological, digital, and multimodal biomarkers that may inform future adaptive (closed-loop) neuromodulation therapies. The successful candidate will help generate high-quality biological datasets, investigate mechanisms of neural modulation, and support the integration of molecular, electrophysiological, imaging, and clinical data to enable more personalized, data-driven treatment approaches.

The individual will collaborate with internal R&D teams and external academic, clinical, and industry partners globally to accelerate scientific innovation and translational research initiatives.

What You'll Work On

Translational Neuroscience & Biological Research

  • Support preclinical and translational neuroscience research programs focused on neuromodulation mechanisms, therapeutic target discovery, and biomarker identification.
  • Design, execute, and optimize molecular and cellular biology experiments.
  • Conduct cellular, tissue-level, and in-vitro studies to investigate biological responses to neural stimulation.
  • Analyze gene, protein, and cellular pathway changes associated with neural activity, disease states, and therapeutic outcomes.
  • Support development of novel in-vitro screening platforms and biologically relevant research models.
  • Assist in translating biological discoveries into clinically relevant neuromodulation applications.

Biomarker Discovery & Adaptive Neurotechnology

  • Contribute to discovery and validation of molecular, physiological, and digital biomarkers associated with therapeutic response.
  • Support development of biological inputs that may inform future adaptive (closed-loop) neuromodulation systems.
  • Assist in correlating molecular findings with electrophysiological, imaging, device-generated, and clinical datasets.
  • Participate in research efforts exploring mechanisms underlying personalized neuromodulation therapies.

AI, Data Science & Multimodal Research

  • Apply an AI-first approach to experimental design, data generation, annotation, structuring, and interpretation.
  • Contribute to development of AI-ready multimodal datasets integrating biological, electrophysiological, imaging, and clinical data.
  • Partner with computational scientists, data scientists, and engineers to support machine learning and advanced analytics initiatives.
  • Maintain high-quality, well-characterized datasets suitable for downstream AI and predictive modeling applications.
  • Support generation of data standards, metadata frameworks, and research workflows that enhance reproducibility and future analytics capabilities.

Collaboration & Scientific Communication

  • Collaborate with cross-functional teams across R&D, Clinical, Regulatory, Data Science, and Engineering organizations.
  • Engage with academic institutions, clinical investigators, and external research collaborators globally.
  • Prepare technical reports, scientific presentations, publications, and supporting documentation.
  • Present findings to internal stakeholders and external scientific audiences as appropriate.
  • Stay current on advances in neuroscience, AI-enabled biology, bioelectronic medicine, precision medicine, and adaptive neurotechnology.

Required Qualifications

  • Master's degree (MSc) in Neuroscience, Molecular Biology, Biomedical Engineering, Cellular Biology, Bioengineering, or related field.
  • 1-3 years of relevant laboratory or translational research experience following degree completion.
  • Hands-on experience in several of the following areas:
    • RNA/DNA extraction, processing, and analysis
    • Gene expression analysis
    • Protein characterization and biochemical assays
    • Mammalian cell culture
    • Cellular neuroscience techniques
    • In-vitro assay development
    • Electrophysiology or neural recording methods
  • Strong experimental design, problem-solving, and analytical skills.
  • Interest in AI-enabled, data-driven scientific research approaches.
  • Ability to work effectively in multidisciplinary and matrixed environments.
  • Strong written and verbal communication skills.

Preferred Qualifications

  • PhD in Neuroscience, Molecular Biology, Biomedical Engineering, Bioengineering, Cellular Biology, or related discipline.
  • Research experience in neuroscience, neurobiology, neuroengineering, or translational medicine.
  • Familiarity with one or more of the following:
    • Transcriptomics
    • Proteomics
    • Single-cell analysis
    • Immunohistochemistry (IHC)
    • Advanced microscopy and imaging techniques
    • Preclinical CNS models
    • Microfluidics
    • Biomaterials
    • Bio-MEMS technologies
    • Tissue engineering
  • Exposure to neuromodulation, neurostimulation, bioelectronic medicine, neural interfaces, or implantable medical devices.
  • Experience working with multimodal datasets that combine biological, neural, imaging, and/or clinical information.
  • Working knowledge of Python, R, MATLAB, or equivalent scientific computing environments.
  • Familiarity with machine learning workflows, data annotation methodologies, or AI-enabled research tools.
  • Record of scientific publications, conference presentations, or collaborative research activities.
  • Experience working with external academic, clinical, or industry research partners.
  • Demonstrated adaptability, scientific curiosity, and ability to thrive in a rapidly evolving research environment.

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.

The base pay for this position is

$61,300.00 - $122,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Research and DiscoveryDIVISION:NM NeuromodulationLOCATION:United States > Texas > Plano : 6901 Preston RoadADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Not specifiedMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous walking for prolonged periods (more than 2 hours at a time in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

What Abbott employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply