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Machine Learning Quantum Computing Jobs in Connecticut

D-Wave Quantum

Software Engineer I

New Haven, CT · On-site

... quantum computing hardware. We are looking for a curious and thoughtful problem solver who enjoys learning, collaborating, and developing reliable, maintainable software. You will have the ...

New

Varsity Tutors

Linear Algebra Tutor

Bridgeport, CT · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Hartford, CT · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

New Haven, CT · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Norwalk, CT · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Stamford, CT · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Worky

Engineer - GEN AI

Orange, CT · On-site

$141 - $176/hr

Experience on projects involving big data processing and distributed computing frameworks such as Apache Spark * Expert knowledge of machine learning techniques, including supervised and unsupervised ...

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

Experience on projects involving big data processing and distributed computing frameworks such as Apache Spark * Expert knowledge of machine learning techniques, including supervised and unsupervised ...

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

$122K - $147K/yr

Experience on projects involving big data processing and distributed computing frameworks such as Apache Spark * Expert knowledge of machine learning techniques, including supervised and unsupervised ...

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

$122K - $147K/yr

Experience on projects involving big data processing and distributed computing frameworks such as Apache Spark * Expert knowledge of machine learning techniques, including supervised and unsupervised ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Connecticut

Machine Learning Quantum Computing information

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 the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

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 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 popular job titles related to Machine Learning Quantum Computing jobs in Connecticut?

For Machine Learning Quantum Computing jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Connecticut look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Connecticut are:

What cities in Connecticut are hiring for Machine Learning Quantum Computing jobs?

Cities in Connecticut with the most Machine Learning Quantum Computing job openings:

Machine Learning Quantum Computing jobs near you

Senior Quantum Applications Engineer [597]

New Haven, CT • On-site

D-Wave Quantum
See more jobs at D-Wave Quantumexternal

Full-time

Posted 6 days ago

Job description

D-Wave Quantum Inc. (NASDAQ: QBTS) is a leader in the development and delivery of quantum computing systems, software, and services. It is the world's first commercial supplier of quantum computers, and the first and only to offer dual-platform quantum computing products and services, spanning both annealing and gate-model quantum computing technologies. D-Wave's mission is to help customers realize the value of quantum today through enterprise-grade systems available on-premises and via its Leap™ quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations across commercial, government, and research sectors trust D-Wave to address complex computational challenges using quantum computing. Learn more about realizing the value of quantum computing today and how D-Wave is shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com.
About the role
We are seeking a talented Senior Quantum Applications Engineer to join our quantum applications and algorithms team. Our goal is to develop high-impact algorithms that will make our gate-model quantum systems valuable to users. We're searching for candidates who possess a robust technical background, particularly in developing quantum applications for fields such as chemistry, machine learning, and quantum error correction. The ideal candidate will not only bring substantial technical expertise to our diverse team but will also excel in facilitating clear communication across internal software, firmware, and hardware teams and with our users.
What you'll do
  • Collaborate with multiple research and engineering teams to design, implement, and rigorously test novel high-impact quantum applications in domains such as chemistry, materials science, machine learning, artificial intelligence, finance, and cryptography
  • Explore applications from post-NISQ through to fault-tolerant commercial utility
  • Identify algorithms that enhance the value of our quantum hardware by considering its specific features and constraints
  • Implement and support simulation features
  • Work closely with quantum engineers to execute quantum applications on hardware

About You
  • MS or PhD in Physics, Chemistry, Computer Science, Electrical Engineering, Mathematics, or related field with a specialization in quantum computing. Equivalent industry experience will also be considered
  • Minimum 5+ years of experience in the development, simulation, and deployment of quantum algorithms including NISQ algorithms
  • Minimum 3+ years of experience with Python programming or another general-purpose language, with a demonstrated track record of shipping production-quality code
  • Expertise with one or more quantum computing SDKs like Qiskit, PennyLane, or CUDA Quantum
  • Expertise with principles of quantum computing and quantum information science
  • Demonstrated depth in at least one application vertical (e.g., quantum chemistry, machine learning, finance, optimization, or cryptography), with hands-on project or product experience beyond coursework
  • Strong software engineering skills: writing clean, well-tested, maintainable code and collaborating through code review, version control, and CI/CD in a team environment
  • Familiarity with AI-assisted software development using LLM-based coding tools (e.g., Claude Code, GitHub Copilot, or ChatGPT Codex), including sound judgment about when to rely on their output and when to independently verify it
  • Excellent communication and interpersonal skills with the ability to effectively communicate complex technical concepts

A D-Waver's DNA
  • We look at the future and say "why not"; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
  • We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
  • We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
  • As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.

Our Compensation Philosophy is Simple but Powerful:
We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they've got - not because they're simply making money, but because they've fallen in love with our vision, mission, values, and team.
During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.
Inclusion:
We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.
The Fine Print:
No 3rd party candidates will be accepted
It is D-Wave policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.
The base pay range for this role is:
125,000 - 187,000 USD per year (New Haven)

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