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Machine Learning Quantum Computing Jobs in Connecticut

Sr Engineer (Perception)

Shelton, CT ยท On-site

$104K - $143K/yr

... parallel computing technologies, including TBB and CUDA; strong command of linear algebra libraries such as Eigen; background in applying machine learning techniques to real world problems ...

Work with clients to design, develop, and deploy new architectures to support machine learning ... using cloud computing or on-prem technologies * Design and lead development on scalable, high ...

Proven expertise in deploying machine learning models and AI applications in a cloud environment ... computing. * Experience in AWS cloud services is a strong advantage (e.g., AWS Lambda, S3 ...

Python Tutor

Norwalk, CT ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Bridgeport, CT ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Hartford, CT ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

New Haven, CT ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Stamford, CT ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

Showing results 21-40

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?

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 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:

Senior RF & Electromagnetics Engineer - Future Opportunities

Hyperfine

Guilford, CT โ€ข On-site

$106K - $146K/yr

Other

Posted 2 days ago

New


Job description

Join Our Talent Community!

This is an evergreen posting and not an active opening. We are always interested in connecting with talented individuals who are passionate about our mission. By applying to this posting, you'll join our Talent Community and be considered for future opportunities should a position that aligns with your skills and experience become available in the future.


About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with theย Swoopย system-the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging.ย Learn More


About The Role

Job Title: Senior RF & Electromagnetics Engineerย 

Location:ย Guilford, CT, USA

The Senior RF & Electromagnetics Engineer,ย  designs, tests, characterizes, and optimizes RF coils and associated analog electronics for the low MHz frequency domain. Secondary to this, they may contribute significantly to the electromagnetic subsystem of the ultra low field MRI system, including B0 magnet and gradient system. They develop manufacturing and design verification processes to ensure manufactured products meet design goals with efficiency and cost-effectiveness. The senior engineer is expected to be able to conduct research and development activities independently when needed, collaborate cross-functionally, and provide guidance to junior engineers.ย 

Key Responsibilities

  • Conductย research and development efforts related to radiofrequency coils,ย sensors,ย preamplifiers,ย and analog circuitry for portable MRI applications.
  • Simulate, test, and optimize coil and RF electronics designs.
  • Collaborate cross-functionally with systems engineers, mechanical engineers, electrical engineers, and MR scientists, product management and senior leadership to ensure seamless integration of RF and electromagnetic subsystems.
  • Develop and validate novel hardware-based EM-noise reduction methods for ultra-low-field MRI.
  • Partner with vendors and manufacturing teams to guide electromagnetic system prototyping, assembly, production scale-up and QA processes.
  • Document designs, models, and tools in accordance with the company's quality system requirements.ย 

Additional Responsibilities:

  • Contribute to research and development efforts related to low-field magnet, gradient coil, and shield design for portable MRI applications.
  • Develop and validate novel magnet characterization methods, including field mapping, eddy-current mapping and thermal stability assessments.

Knowledge, Skill & Abilities:

  • Strong background in the theory of electromagnetism.ย 
  • Working knowledge of analog circuit design and prototyping.
  • Experience with radiofrequency circuits and phased array design.ย 
  • Strong understanding of RF principles including coil design, signal transmission, and pre-amplifiers.ย 
  • Experience of physics-based modeling with appropriate mathematical tools.
  • Ability to critically assess research papers and patents on topics relating to MRI hardware, magnetostatics, and RF engineering.ย 
  • Experience with data acquisition and automation.
  • Familiarity with lab equipment like oscilloscope/VNA.ย 
  • Excellent communication and documentation skills for interdisciplinary collaboration and knowledge transfer.ย 

Required Education & Experience:

  • Bachelor's degree in physics, engineering physics, or electrical engineering and 5 years' related work experience; or
  • Equivalent combination or education and experience (e.g., Master's degree with 3 years' experience or a PhD degree in a relevant field).

Preferred Qualifications:

  • Research or work experience in the following areas: MRI, experimental atomic physics, experimental quantum computing, plasma physics, radio astronomy, or accelerator science.
  • Experience with electromagnetics simulation tools, such as COMSOL, ANSYS Maxwell, CST/Opera, etc.ย 
  • Ability to design mechanical parts, including 3D CAD modeling and creating engineering drawings for fabrication.ย 
  • Experience of mechanical prototyping such as 3D printing, laser cutting, and use of lathe and milling machines.ย 
  • Working knowledge of MRI system architecture.ย 
  • Programming with Python

Physical Demands:

  • This is an on-siteย roleย based out of Hyperfine'sย officeย in Guilford, CT.ย 
  • Ability to work in a laboratory and prototype environment, including safe handling ofย magnetsย andย powerย electronics.ย Ability to speak andย writeย in Englishย 
  • Availableย nights, weekends, and holidays as business needs require.ย 
  • Ability to occasionallyย lift upย to 40lbs.ย ย 
  • Ability to use basicย electrical &ย mechanicalย toolsย (screwdriver,ย wrenches, crimping tools,ย oscilloscope,ย etc).ย 
  • Travel up toย 5% ofย timeย for business needs (e.g.,ย vendor and contract manufacturerย site visits).ย ย 

Work Authorization:ย Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

Compensation: Hyperfine's Total Rewards Package includes a competitive base salary and eligibility to participate in our corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.

Agency Resumes:ย We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired. To explore a recruiting partnership with Hyperfine for future placements, you must contact People@Hyperfine.io.


Please note that submitting an application does not indicate that there is a current vacancy. If a position becomes available that matches your background and experience, a member of our Talent Acquisition team may contact you regarding next steps.