327 Emerging Technologies jobs in the United States

• Conduct in-depth research into emerging technologies, particularly in the domains of artificial intelligence, machine learning, quantum computing, and advanced analytics.
• Develop novel algorithms, methodologies, and prototypes to address complex technical challenges.
• Design and execute experiments to validate research hypotheses and measure performance.
• Analyze research findings and translate them into actionable insights and potential product applications.
• Collaborate with product development teams to integrate new technologies into existing or future offerings.
• Author technical papers, patent applications, and internal reports documenting research progress and discoveries.
• Stay current with the latest scientific literature, industry trends, and competitive landscape in emerging technologies.
• Present research findings at internal and external conferences and workshops.
• Mentor junior researchers and interns, fostering a collaborative and innovative research environment.
• Contribute to strategic planning for the company's technology roadmap.

• Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a closely related field with a focus on AI or a related emerging technology.
• Demonstrated track record of innovative research, evidenced by publications in top-tier journals or conferences.
• Expertise in one or more of the following areas: machine learning, deep learning, natural language processing, computer vision, reinforcement learning, quantum computing, or blockchain.
• Proficiency in programming languages commonly used in research (e.g., Python, C++, MATLAB).
• Experience with relevant software frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts.
• Ability to work independently and collaboratively within a dynamic research team.
• Experience in leading research projects or contributing to significant technological advancements.
• Adaptability and a passion for exploring uncharted technological territories.

• Currently pursuing a Master's or Doctoral degree in Computer Science, Engineering, Data Science, or a closely related field.
• Strong academic record with a focus on relevant coursework.
• Demonstrated interest and knowledge in one or more emerging technology areas (e.g., AI/ML, IoT, Blockchain, Quantum Computing).
• Proficiency in programming languages (e.g., Python, C++, Java).
• Experience with research methodologies and data analysis tools.
• Excellent written and verbal communication skills.
• Ability to work effectively in a hybrid environment.
• Strong analytical and problem-solving capabilities.
• Enthusiasm for learning and contributing to innovative projects.

Business Analyst - Innovation & Emerging Technologies Remote (with travel) Long-Term 2 Openings At iSphere, we thrive at the intersection of business and technology-and right now, we're looking for two Business Analysts who can help our clients harness the potential of IoT, Robotics, and Augmented Reality in practical, business-changing ways. This isn't a hands-on coding role. We're not asking you to build robots or wire up sensors. Instead, we're looking for curious, forward-thinking analysts who can see how these technologies create value-and then drive that value into real business outcomes. What You'll Do Partner with business units to identify where IoT, AR, and robotics can deliver operational efficiency and innovation. Lead implementations, integrations, and adoption efforts across multiple lines of business. Translate strategy into functional requirements and business-friendly roadmaps. Facilitate workshops, stakeholder interviews, and UAT sessions to ensure alignment and adoption. Travel to client sites to support deployments, training, and stakeholder engagement. Optimize logistics processes (yes, including pallet handling) through robotics and sensor-based solutions. Collaborate with cross-functional teams to pilot, prove out, and scale innovative tech solutions. What Makes You a Great Fit Strong understanding of IoT, AR, and robotics from a business application perspective. Experience in business analysis, innovation strategy, or tech-enabled transformation. Ability to translate business needs into technical requirements (and back again). Excellent communicator who can make complex concepts clear to both technical and non-technical audiences. Comfortable traveling and engaging stakeholders at all levels. Bonus if you've worked with innovation labs, pilot programs, or emerging tech initiatives. Extra Credit Background in business process modeling and workflow optimization. Experience working within cross-functional teams spanning IT and business stakeholders. Strategic thinker who balances big ideas with measurable results. Why iSphere? We're not a resume factory. We're a people-first consulting firm that's been delivering game-changing results for 25 years. Our culture is built on trust, collaboration, and the belief that work should be both challenging and rewarding. If you're excited about the future of business and technology-and you want to be part of a team that doesn't just adapt to change but drives it-then we'd love to hear from you.

• Assist senior data analysts and scientists in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and insights relevant to project goals.
• Support the development and testing of data models and algorithms.
• Create reports, dashboards, and visualizations to communicate findings effectively to team members.
• Assist in the documentation of data sources, methodologies, and analytical processes.
• Collaborate with team members on data-related projects and problem-solving.
• Learn and apply statistical techniques and data mining methods.
• Participate in team meetings and contribute to discussions on data strategy and project direction.
• Gain exposure to various data analysis tools and programming languages (e.g., SQL, Python, R, Tableau).
• Understand and adhere to data privacy and security protocols.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Foundational understanding of statistical concepts and data analysis principles.
• Familiarity with SQL for database querying is a plus.
• Exposure to programming languages like Python or R is advantageous.
• Excellent written and verbal communication skills.
• Ability to work effectively in a team environment and independently.
• Eagerness to learn and adapt to new technologies and methodologies.
• A genuine interest in data analysis and emerging technologies.
• Must be eligible to work in the US and able to commit to the internship duration.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong understanding of statistical principles and data analysis methodologies.
• Proficiency in Python or R for data analysis and manipulation.
• Familiarity with SQL for database querying.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and ability to manage multiple tasks.
• Effective written and verbal communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Must be legally authorized to work in the US and able to work on-site in Austin, Texas.

• Design and architect end-to-end AI/ML solutions, from data ingestion and processing to model deployment and monitoring.
• Evaluate and select appropriate AI/ML technologies, tools, and platforms to meet project requirements.
• Collaborate with data scientists, engineers, and business stakeholders to define AI strategy and roadmaps.
• Develop proof-of-concepts and prototypes to demonstrate the feasibility of AI solutions.
• Provide technical leadership and guidance on AI best practices, scalability, and performance optimization.
• Ensure AI solutions are secure, compliant, and integrate seamlessly with existing systems.
• Stay abreast of the latest advancements in AI, machine learning, deep learning, and emerging technologies.
• Translate complex technical concepts into clear, concise explanations for both technical and non-technical audiences.
• Mentor junior engineers and contribute to the knowledge sharing within the AI team.
• Design and implement data pipelines and MLOps strategies for robust model lifecycle management.
• Assess existing infrastructure and recommend improvements for AI workloads.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 8 years of experience in software engineering or solutions architecture, with a significant focus on AI/ML (5+ years).
• Hands-on experience with major cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in programming languages such as Python, Java, or Scala.
• Deep understanding of various machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and NLP techniques.
• Experience with MLOps principles and tools (e.g., Kubeflow, MLflow).
• Strong understanding of data engineering, data warehousing, and big data technologies.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and presentation abilities.
• Experience in leading technical teams and influencing stakeholders.
• Familiarity with emerging technologies such as generative AI, computer vision, or reinforcement learning is highly desirable.