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Machine Learning Quantum Computing Jobs in California

Quantum Architect, Fault-Tolerance

Palo Alto, CA ยท On-site

$76 - $100/hr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

... machine learning, distributed quantum computing and/or quantum security and privacy with the aim of applying their research outcomes to financial services and payments. Their work may include ...

Quantum Architect, Fault-Tolerance

Palo Alto, CA ยท On-site

$76 - $100/hr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-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 California? For Machine Learning Quantum Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in California look for? The top searched job categories for Machine Learning Quantum Computing jobs in California are:
What cities in California are hiring for Machine Learning Quantum Computing jobs? Cities in California with the most Machine Learning Quantum Computing job openings:

Sales Manager - Quantum Solutions

Quantum Machines

Los Angeles, CA โ€ข On-site, Remote

Full-time

Posted 5 days ago


Job description

Description
Quantum Machines is the global leader in control systems for quantum computing, a field on the verge of exponential growth, bringing about opportunities like those made possible with the invention of classical computing 50 years ago.
We are assembling the strongest team of professionals in the world with the goal of revolutionizing how quantum computers are built and accelerating their arrival. Quantum Machines is backed by top tier investors such as PSG Equity, Battery Ventures, TLV Partners, Red Dot Capital, and other leading funds.
We are looking for a high-energy, technology-oriented business development manager for the North America territory focused on the West and Midwest, who can recognize opportunities, and turn leads into long-lasting relationships. The ideal candidate has a history of bringing on new business and exceeding sales quotas and loves the challenges that come with outbound prospecting in a competitive, fast-growing market.
As a Sales Manager - Quantum Solutions you will have direct and immediate impact on the company's success by driving sales from end-to-end, owning and managing a significant cohort of customers and opportunities, and delivering the Quantum Machines vision and value proposition with the goal of capturing the market.
Requirements
Responsibilities:
  • Meet and exceed annual bookings targets based on a geographically assigned territory, including the development of large, existing, strategic accounts and discovery of new prospect accounts
  • Manage the entire sales cycle from initial lead to deal closing to repeat purchasing
  • Create detailed business plans to facilitate the attainment of goals and quotas
  • Be the spearhead of communicating our value proposition to potential customers in the academic and commercial sectors of the industry
  • Uncover customer needs and ensure we provide the necessary products, tools and technical resources to help them achieve their ambitious goals and ensure our ongoing competitiveness
  • Coordinate with various internal teams on complex customer tenders, bids, and other agreements
  • Leverage go-to-market resources (i.e. solution engineers, marketing, professional material, evaluation program, etc.) effectively and efficiently to maximize customer satisfaction and repeat business
  • Maintain an accurate and up to date view of all leads and opportunities under your ownership; provide reports as needed

Requirements:
  • 10+ years proven experience as a successful, growth-oriented salesperson with emphasis in new business expansion. Experience in hardware sales and in selling to academia and research labs is a strong advantage
  • Excellent oral and written communication in English; excellent presentation skills
  • Knowledge and experience in market research, sales cycle management and negotiations
  • Ability to build relationships of trust
  • Organizational and time-management skills; High level of independence
  • Strong knowledge of MS Office; knowledge of CRM software (e.g. Salesforce)
  • Background in physics and or electrical engineering, understanding of quantum computing
  • Willingness to travel to customers and prospects on a regular basis