1

Python Ml Developer Jobs in Mount Laurel, NJ (NOW HIRING)

* Proficiency in programming languages such as Python, Java, or R * Experience with AI frameworks including TensorFlow, PyTorch, or Keras * Strong understanding of machine learning, deep learning, NLP ...

... data engineers, and IT to evaluate deployment options, and establish best practices around ML ... in Python or R with strong expertise in machine learning frameworks (scikit-learn, TensorFlow ...

Azure Data Engineer

Hamilton, NJ · On-site

$113.60K - $136.50K/yr

Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric ... Support analytics and AI/ML use cases with clean, reliable, and scalable data models. * Collaborate ...

Azure Data Engineer

Hamilton, NJ · On-site

$113.60K - $136.50K/yr

Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric ... Support analytics and AI/ML use cases with clean, reliable, and scalable data models. * Collaborate ...

next page

Showing results 1-20

Python Ml Developer information

See Mount Laurel, NJ salary details

$13

$58

$85

How much do python ml developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python ml developer in Mount Laurel, NJ is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Mount Laurel, NJ? For Python Ml Developer jobs in Mount Laurel, NJ, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Mount Laurel, NJ look for? The top searched job categories for Python Ml Developer jobs in Mount Laurel, NJ are:
What cities near Mount Laurel, NJ are hiring for Python Ml Developer jobs? Cities near Mount Laurel, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Mount Laurel, NJ as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $120,752 per year, or $58.1 per hour.
Research Engineer / Scientist (Wireless + AI/ML)

Research Engineer / Scientist (Wireless + AI/ML)

INTERDIGITAL, Inc.

Conshohocken, PA • On-site

Full-time

Posted 7 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...