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Research Semantic Analysis Jobs (NOW HIRING)

Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data ... semantic analysis with familiarity with additional computer vision models including object ...

Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data ... semantic analysis with familiarity with additional computer vision models including object ...

Build and optimize semantic models, relationships, and calculated measures to support self-service ... Research best practices in report performance optimization, data modeling, and platform scalability ...

Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data ... semantic analysis with familiarity with additional computer vision models including object ...

Software Engineer

Santa Clara, CA · On-site

$111K - $211K/yr

Research and collaborate with other engineers and architects in the design, development ... Understanding of lexical analysis, parsing, semantic analysis, and code generation * Optimization ...

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How much do research semantic analysis jobs pay per year?

As of Jun 11, 2026, the average yearly pay for research semantic analysis in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is semantic analysis in research?

Semantic analysis in research involves examining and interpreting the meaning of words, phrases, and texts to understand underlying concepts and relationships. It is commonly used in natural language processing and data analysis to extract insights from unstructured data, often utilizing tools like text mining and machine learning algorithms. Researchers and analysts use semantic analysis to improve information retrieval, sentiment analysis, and knowledge discovery.

Is a research analyst a good career?

A research analyst is a viable career that involves analyzing data, market trends, or consumer behavior to support decision-making. It often requires strong analytical skills, proficiency with tools like Excel or statistical software, and may offer opportunities for advancement in various industries. The role can provide stable employment and growth potential for those with relevant education and experience.

What are the key skills and qualifications needed to thrive as a Research Semantic Analyst, and why are they important?

To thrive as a Research Semantic Analyst, you need expertise in linguistics, data analysis, and a strong understanding of semantics, typically supported by a degree in linguistics, computer science, or a related field. Familiarity with natural language processing (NLP) tools, semantic annotation platforms, and data analysis software like Python or R is commonly required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills in this role. These competencies are crucial for accurately interpreting and modeling language data, ensuring high-quality research outcomes and actionable insights.

What is the difference between Research Semantic Analysis vs Data Analyst?

AspectResearch Semantic AnalysisData Analyst
Required CredentialsTypically requires a degree in linguistics, computer science, or related fields; knowledge of NLP and semantic modelsUsually requires a degree in statistics, mathematics, or related fields; proficiency in data visualization and statistical tools
Work EnvironmentResearch labs, tech companies, academic institutions focusing on language and AI projectsBusiness environments, consulting firms, or corporate data teams analyzing large datasets
Industry UsageUsed in natural language processing, AI development, and linguistic researchApplied in marketing, finance, healthcare, and other sectors for data-driven decision making

Research Semantic Analysis focuses on understanding and modeling language meaning using NLP techniques, often in research or AI development. Data Analysts interpret and visualize data to inform business decisions. While both roles involve data and analysis, their tools, goals, and industries differ significantly.

Is a research analyst a high paying job?

Research analysts can earn competitive salaries, especially with experience, specialized skills, and advanced degrees. Salaries vary by industry, location, and level of expertise, but many research analyst roles offer above-average compensation compared to entry-level positions.

What is the job of a semantic analyzer?

A semantic analyzer is a role in natural language processing that involves interpreting the meaning of text by analyzing its structure and context. It often uses linguistic rules and machine learning tools to identify relationships, concepts, and intent within data, supporting tasks like information extraction and understanding. Strong analytical skills and knowledge of programming languages such as Python are typically required for this position.

How does collaboration typically work for professionals in Research Semantic Analysis?

In Research Semantic Analysis, collaboration is essential and often involves working closely with interdisciplinary teams, including data scientists, linguists, software engineers, and subject matter experts. Professionals in this role frequently participate in brainstorming sessions, share findings, and integrate feedback to enhance semantic models or algorithms. Effective communication and the ability to translate complex concepts across different expertise areas are crucial for success. Regular meetings and collaborative platforms help ensure alignment on project goals and facilitate continuous learning.

What is research semantic analysis?

Research semantic analysis is the process of examining and interpreting the meanings of words, phrases, and concepts within research documents or datasets. It involves using computational and linguistic techniques to analyze the relationships, context, and patterns of language to extract insights or identify trends. This method is commonly used in fields like linguistics, data science, and information retrieval to improve understanding of large volumes of unstructured text.
Research Engineer / Scientist (Wireless + AI/ML)

Research Engineer / Scientist (Wireless + AI/ML)

INTERDIGITAL, Inc.

Conshohocken, PA • On-site

Full-time

Posted 18 days ago


Job description

About InterDigital
InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence ("AI"), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.
InterDigital is a registered trademark of InterDigital, Inc.
For more information, visit: www.interdigital.com.
Key Responsibilities
  • Conduct advanced research in wireless communication systems, including PHY/MAC layers, radio architectures, networking protocols, and end-to-end system design
  • Design and evaluate AI/ML-driven wireless algorithms (e.g., semantic communications, intent based and agentic AI communications, GenAI-assisted network optimization, resource allocation, edge intelligence)
  • Develop and implement link-level and system-level simulations using tools such as MATLAB, Python, Sionna, or equivalent frameworks
  • Build proof-of-concept prototypes (e.g., OAI, SDR, digital twins, edge AI testbeds) and validate concepts on practical platforms or testbeds
  • Prototype Agentic AI and GenAI workflows for autonomous network planning, troubleshooting, orchestration, and standards-oriented research acceleration
  • Explore Physical AI concepts that connect perception, sensing, wireless control, robotics/automation, and embodied AI systems over reliable low-latency networks
  • Evaluate networking protocol behavior across IP, transport, application, RAN/core, edge/cloud, and distributed AI deployment environments
  • Analyze and optimize system performance using theoretical and data-driven approaches
  • Contribute to technical reports, publications, and patent filings
  • Collaborate with cross-functional research teams across wireless, AI, standards, and prototyping groups

Required Qualifications
  • Ph.D. recently completed in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
  • Strong foundation in one or more of the following areas:
    • Wireless communications
    • Signal processing
    • Networking
    • AI/ML for communication systems
    • Distributed or edge intelligence
  • Solid knowledge of AI/ML techniques and their application to communication systems including GenAI, Agentic AI, foundation models, and edge learning
    • Understanding of networking protocols and architectures such as TCP/IP, UDP, QUIC, HTTP/2/3, gRPC, MQTT, routing, SDN/NFV, and edge/cloud networking
    • Programming proficiency in Python and MATLAB, with working knowledge of C/C++ and Linux-based development environments
  • Experience with simulation and programming tools, such as:
    • MATLAB, Python, C/C++, or similar scientific and systems programming languages
    • Machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Demonstrated ability to translate theory into working simulations or prototypes

Preferred Qualifications
  • Hands-on experience with:
    • System-level or link-level simulators (e.g., Sionna or equivalent)
    • Wireless prototyping platforms (e.g., SDRs, OAI testbeds, or real-time systems)
    • Generative AI and agent toolchains, including LLM APIs, RAG pipelines, vector databases, prompt/evaluation frameworks, and autonomous agent orchestration
    • Physical AI, robotics, sensing, perception, control, embodied AI, or cyber-physical systems integrated with wireless connectivity
    • MLOps and reproducible AI workflows using Docker, Kubernetes, MLflow, CI/CD, and GPU acceleration (CUDA where applicable)
  • Research track record including publications, patents, or technical contributions
  • Familiarity with cellular standards (4G/5G/6G evolution)
  • Experience in AI-native wireless systems, edge intelligence, or semantic communications
  • Strong software engineering practices (e.g., Git, reproducible research workflows)
  • Additional AI technologies: RAG, multimodal/foundation models, edge AI, federated/split learning, digital twins, Physical AI, robotics/automation, sensing, perception, and control

Locations: Conshohocken, PA; Melville, NY;
What You Bring
  • Curiosity and passion for pushing the boundaries of wireless and AI convergence
  • Ability to balance theoretical rigor with practical implementation
  • Strong analytical, problem-solving, and communication skills
  • A collaborative mindset aligned with a global research environment

Why Join InterDigital
  • Work at the forefront of 6G, AI-driven networks, and future connectivity paradigms
  • Contribute to technologies that influence global standards and billions of devices
  • Engage in an environment that values innovation, intellectual property, and research excellence
  • Collaborate with world-class experts across wireless, video, and AI domains

InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person's sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.
A reasonable estimate of the current salary range specific to NY/CA/DE/DC is $80,000 - $120,000 /annually + discretionary incentive bonus, benefits and may include other forms of compensation components such as long-term incentives. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies and experience and may fall outside of the range shown.
À propos d'InterDigital
InterDigital est une société mondiale de recherche et développement axée principalement sur les technologies sans fil, vidéo, intelligence artificielle (« IA ») et technologies connexes. Nous concevons et développons des technologies fondamentales qui permettent des expériences connectées et immersives dans un large éventail de produits et services de communication et de divertissement. Nous accordons des licences sur nos innovations dans le monde entier à des entreprises fournissant ces produits et services, notamment les fabricants d'appareils de communication sans fil, d'électronique grand public, d'appareils IoT, de voitures et autres véhicules motorisés, ainsi que les fournisseurs de services en nuage tels que la diffusion vidéo en continu. En tant que leader dans le domaine des technologies sans fil, nos ingénieurs ont conçu et développé un large éventail d'innovations utilisées dans les produits et réseaux sans fil, des premiers systèmes cellulaires numériques à la 5G et aux technologies Wi-Fi les plus avancées d'aujourd'hui. Nous sommes également un leader dans le traitement vidéo et la technologie de codage/décodage vidéo, avec un effort de recherche significatif en IA qui recoupe les technologies sans fil et vidéo. Fondée en 1972, InterDigital est cotée au Nasdaq. InterDigital est une marque déposée d'InterDigital, Inc.
Pour plus d'informations, visitez : www.interdigital.com
Responsabilités principales
  • Mener des recherches avancées sur les systèmes de communication sans fil, notamment les couches PHY/MAC, les architectures radio, les protocoles réseau et la conception de systèmes de bout en bout
  • Concevoir et évaluer des algorithmes sans fil basés sur l'IA/ML (par ex., communications sémantiques, communications IA agentiques et basées sur les intentions, optimisation de réseau assistée par GenAI, allocation de ressources, intelligence en périphérie)
  • Développer et mettre en œuvre des simulations au niveau du lien et au niveau du système en utilisant des outils tels que MATLAB, Python, Sionna ou des environnements équivalents
  • Construire des prototypes de preuve de concept (par ex., OAI, SDR, jumeaux numériques, bancs d'essai IA en périphérie) et valider les concepts sur des plateformes ou bancs d'essai pratiques
  • Développer des workflows IA agentique et GenAI pour la planification autonome de réseaux, le dépannage, l'orchestration agentique et l'accélération de la recherche orientée vers les normes
  • Explorer des concepts d'IA physique reliant la perception, la détection, le contrôle sans fil, la robotique/l'automatisation et les systèmes d'IA incarnés sur des réseaux fiables à faible latence
  • Évaluer le comportement des protocoles réseau dans les environnements IP, transport, application, RAN/cœur, périphérie/nuage et déploiement d'IA distribuée
  • Analyser et optimiser les performances des systèmes en utilisant des approches théoriques et basées sur les données
  • Contribuer aux rapports techniques, publications et dépôts de brevets
  • Collaborer avec des équipes de recherche transversales dans les domaines du sans fil, de l'IA, des normes et des groupes de prototypage

Qualifications requises
  • Doctorat récemment obtenu en génie électrique, génie informatique, informatique, ou dans un domaine étroitement connexe.
  • Solides bases dans un ou plusieurs des domaines suivants :
    • Communications sans fil
    • Traitement du signal
    • Réseaux
    • IA/ML pour les systèmes de communication
    • Intelligence distribuée ou en périphérie
  • Solide connaissance des techniques d'IA/ML et de leur application aux systèmes de communication, notamment GenAI, IA agentique, modèles de fondation et apprentissage en périphérie
    • Compréhension des protocoles et architectures réseau tels que TCP/IP, UDP, QUIC, HTTP/2/3, gRPC, MQTT, routage, SDN/NFV et réseaux périphériques/en nuage
    • Maîtrise de la programmation en Python et MATLAB, avec une connaissance pratique de C/C++ et des environnements de développement Linux
  • Expérience avec les outils de simulation et de programmation, tels que :
    • MATLAB, Python, C/C++ ou langages de programmation scientifiques et systèmes similaires
    • Environnements d'apprentissage automatique (par ex., TensorFlow, PyTorch)
  • Capacité avérée à traduire la théorie en simulations ou prototypes fonctionnels

Qualifications souhaitées
  • Expérience pratique avec :
    • Simulateurs au niveau du système ou du lien (par ex., Sionna ou équivalent)
    • Plateformes de prototypage sans fil (par ex., SDR, bancs d'essai OAI ou systèmes en temps réel)
    • IA générative et chaînes d'outils d'agents, notamment APIs LLM, pipelines RAG, bases de données vectorielles, environnements de prompt/évaluation et orchestration d'agents autonomes
    • IA physique, robotique, détection, perception, contrôle, IA incarnée ou systèmes cyber-physiques intégrés à la connectivité sans fil
    • MLOps et workflows IA reproductibles utilisant Docker, Kubernetes, MLflow, CI/CD et accélération GPU (CUDA le cas échéant)
  • Bilan de recherche incluant des publications, brevets ou contributions techniques
  • Familiarité avec les normes cellulaires (évolution 4G/5G/6G)
  • Expérience dans les systèmes sans fil natifs IA, l'intelligence en périphérie ou les communications sémantiques
  • Bonnes pratiques d'ingénierie logicielle (par ex., Git, workflows de recherche reproductibles)
  • Technologies IA supplémentaires : RAG, modèles multimodaux/de fondation, IA en périphérie, apprentissage fédéré/partagé, jumeaux numériques, IA physique, robotique/automatisation, détection, perception et contrôle

Lieux: Conshohocken, Pennsylvania ; Melville, New York ;
Ce que vous apportez
  • Curiosité et passion pour repousser les limites de la convergence sans fil et IA
  • Capacité à équilibrer la rigueur théorique avec la mise en œuvre pratique
  • Solides compétences analytiques, de résolution de problèmes et de communication
  • Un état d'esprit collaboratif aligné sur un environnement de recherche mondial

Pourquoi rejoindre InterDigital
  • Travailler à l'avant-garde de la 6G, des réseaux pilotés par l'IA et des futurs paradigmes de connectivité
  • Contribuer à des technologies qui influencent les normes mondiales et des milliards d'appareils
  • Évoluer dans un environnement qui valorise l'innovation, la propriété intellectuelle et l'excellence en recherche
  • Collaborer avec des experts de renommée mondiale dans les domaines du sans fil, de la vidéo et de l'IA

InterDigital est un employeur garantissant l'égalité des chances. InterDigital ne se livrera pas à une discrimination illégale ni ne la tolérera en ce qui concerne toute décision, politique ou pratique d'emploi fondée sur le sexe, le genre, la grossesse (y compris l'accouchement, l'allaitement et les conditions médicales connexes), l'âge, la race, la couleur, la religion, la confession, l'origine nationale, l'ascendance, la citoyenneté, le statut militaire, le statut d'ancien combattant, un handicap mental ou physique, un état de santé, des informations génétique...