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Machine Learning Quantum Computing Jobs in New York

NVIDIA

Senior Quantum Computing Libraries Engineer

Manhattan, NY · On-site

$134K - $177K/yr

... machine learning • Interacting with external partners and researchers to understand their use ... in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing) • PhD or MSc ...

Nvidia

Senior Quantum Computing Libraries Engineer

New York, NY · Hybrid

$134K - $176K/yr

Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning * Interacting with external partners ...

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... Design and implement novel algorithms that map optimization and machine-learning problems onto ...

QCi

Postdoctoral Researcher in Quantum Optics

Hoboken, NJ · On-site

$126K/yr

Technology, R&D Reports to: CTO About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the ...

Quantum Computing Inc.

FPGA Design Engineer

Hoboken, NJ · On-site

$134K - $185K/yr

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to ...

Quantum Computing Inc.

Mechanical Engineer

Hoboken, NJ · On-site

Manager, Product Design and Manufacturing About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines ...

GlobalFoundries

Quantum Ion Trap Integration

New York, NY · On-site

$98K - $176K/yr

Lead semiconductor integration efforts for ion-trap quantum computing platforms, with focus on BEOL CMOS integration, photonics integration, and advanced packaging. * Drive yield-learning and ...

GlobalFoundries

Quantum Ion Trap Integrator

New York, NY · On-site

$98K - $176K/yr

Lead semiconductor integration efforts for ion-trap quantum computing platforms, with focus on BEOL CMOS integration, photonics integration, and advanced packaging. * Drive yield-learning and ...

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Machine Learning Quantum Computing information

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What are popular job titles related to Machine Learning Quantum Computing jobs in New York? For Machine Learning Quantum Computing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in New York look for? The top searched job categories for Machine Learning Quantum Computing jobs in New York are:
What cities in New York are hiring for Machine Learning Quantum Computing jobs? Cities in New York with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you

Machine Learning Quantitative Researcher - eFinancialCareers

eFinancialCareers

Manhattan, NY

Full-time

Posted 6 days ago

Job description

A high-performing research team comprised of some of the industry's brightest researchers, scientists, and engineers is hiring! We are a team comprised of individuals from the top research laboratories, and Big Tech companies in applying cutting-edge machine learning techniques to quantitative finance. And, no prior quant finance experience is required!

We believe that quantitative finance principles can be taught, and are focused on identifying top research talent within the following verticals, who are open to working within quant finance:

  1. Machine Learning
  2. Quantum Computing
  3. Algorithm Development
  4. Optimization
  5. Natural Language Processing
  6. LLMs
  7. Artificial Intelligence
  8. Mathematics, Statistics, or Physics

If interested in learning more about this opportunity, apply in now!

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