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Quantum Machine Learning Engineer Jobs in Cantonment, FL

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Quantum Machine Learning Engineer information

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$28.4K

$116.2K

$174.6K

How much do quantum machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for quantum machine learning engineer in Cantonment, FL is $116,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $139,900.00 per year, depending on experience, location, and employer.

What is a quantum machine learning engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.

What cities near Cantonment, FL are hiring for Quantum Machine Learning Engineer jobs?

Cities near Cantonment, FL with the most Quantum Machine Learning Engineer job openings:

Infographic showing various Quantum Machine Learning Engineer job openings in Cantonment, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $116,191 per year, or $55.9 per hour.

Medical Device Account Executive - Gulf Territory

EnsoData

Pensacola, FL

$220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

EnsoData

EnsoData strives to make healthcare more accurate, efficient, and affordable through waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing sleep studies. This results in a simplified and accelerated patient testing, diagnosis, and treatment workflow. Our AI-powered technology has the capability of informing health decisions beyond sleep medicine, from monitoring patient health in the ICU or through wearables, to detecting and capturing seizure data, to providing earlier detection of heart disease, diabetes, stroke, and Alzheimer's.

The Role

Hi, I'm Courtney, the Regional Sales Director (RSD) for the southern US at EnsoData! We're excited to announce that we're looking for an Account Executive based in New Orleans, LA or Jacksonville, FL. We are looking for a self-starter who is eager to contribute to the growth of our business dedicated to improving healthcare. This person will be focused on growing the EnsoHST solution to all sleep, and referring physicians. This remote position offers the following compensation:

  • Base salary: $90,000
  • At plan: $220,000
  • New hire guarantees for the first six months
  • Bonus potential after annual target is reached
  • Uncapped commissions
  • Stock options
  • Additional benefits such as paid time off, healthcare insurance, and parental leave.

The company is based in Madison, Wisconsin but the territories are field based and this territory primarily covers Jacksonville, FL west to New Orleans, LA.

This person will have the following responsibilities to name a few:

  • Plan to be on the road and hunting!
  • Strive to exceed the monthly revenue quota
  • Identify prospective customers, generate and convert leads to sales; collaborate with new and existing customers to identify needs and sell solutions
  • Coordinate the sales process with marketing and the Sales Solutions Engineer (demonstrations)
  • Negotiate contracts and pricing with the RSD and/or CCO
  • Maintain their customer details in our CRM, HubSpot
  • Partner with Marketing and others to develop and refine sales and marketing strategies
  • Represent EnsoData at shows and, as needed, travel for onsite demonstrations

Requirements

This is what we need in our new team member:

  • 2-5 years account executive and/or sales experience required
  • Ability to travel approximately 60% weekly in the assigned territory
  • Experience working with CRM like HubSpot or Salesforce
  • Hunter mindset with creative thinking
  • Clinical aptitude, business acumen, & strong work ethic
  • Excellent people skills and positive attitude, ability to partner with a dynamic team
  • Experience working with remote and hybrid teams
  • Desire to contribute to building groundbreaking technologies to make healthcare more efficient, affordable, and effective
  • Personal qualities of integrity, perseverance and commitment to the mission

Preferred qualifications:

  • Bachelor's degree is strongly preferred but other degrees will be considered
  • Healthcare Software as Medical Device, SaaS or healthcare software sales knowledge
  • Previous experience in sleep medicine, specifically home sleep testing sales
  • Previous experience at a startup, tech, software engineering, or similar company

Please note that candidates who do not live in the territory area will not be considered.

Company Culture - Embrace the Pineapple!

How do we do this? https://www.ensodata.com/blog/why-the-pineapple/

  • Make Healthcare Better - is passionate about moving healthcare to a better place for everyone everywhere
  • Put Customers First - delights customers by working closely with them to support their initiatives
  • Be a Great Teammate - spreads the good vibes and is a joy to work with; also understands the value of helping one's teammates
  • Gets $#!t Done - bias toward action and intrinsically motivated to go above and beyond; demonstrates the ability to work autonomously as well as across teams
  • We also practice a Focus on Quality and look for teammates who don't cut corners and demonstrate integrity and attention to detail

Benefits

The benefits package includes, but is not limited to, the following:

Remote and flexible schedule - we are a remote company with hybrid options and support for flexible schedules! That being said, we have an amazing office headquarters in downtown Madison, WI with views of the capitol that you are welcome to work at anytime.

Health, dental, and vision insurance with options to choose a plan that fits you and your dependents needs.

Paid time off options - we want our employees to rest, recharge, and feel better.

Stock options - we want team members to feel ownership in the organization. When EnsoData does well, you do well.

401k to help people invest in the future.

Team Summits! We look forward to opportunities to gather in person and enjoy a few days together. We participate in team events and gain some great in-person time. (Hint: check out our blog for info from former team gatherings!)

Interview Process

  1. Submit a resume online and our hiring team will choose those that seem like the best candidates.
  2. We look forward to meeting you face-to-face! A few candidates will be chosen for a video call to get to know each other, discuss your experience, and explain the position in more detail.
  3. Expect an opportunity to demonstrate your skills.
  4. The final candidates will have a chance to meet a few people from the team.
  5. Offer!

Let's talk

EnsoData seeks to recruit, hire, and retain the most talented people from a diverse candidate pool. Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you're a great fit, but don't necessarily check every box on the job description, please still get in touch.

To learn more about our ongoing commitment to diversity, see our updated website here.

Note: this role is based in the continental United States and currently EnsoData is unable to support sponsorships so candidates must be legally eligible to work and reside in the United States now and in the future.

Equal Employment Opportunity

EnsoData is proud to be an Equal Employment Opportunity employer. We do not discriminate against, nor do we tolerate unlawful harassment against, team members or any other covered persons on any basis of race, color, protective hairstyles, national, social, or ethnic origin, gender, pregnancy, childbirth, gender orientation, identity or expression, sexual, relationship, or romantic orientation, marital, civil union or domestic partnership status, family or parental status, age, protected veteran status, arrest record, expunged or sealed convictions, criminal history, source of income, credit history, housing status, physical, mental, or sensory disability, medical condition, genetic information, religion, or any other status protected by the laws or regulations in the locations where we operate.

We value, celebrate, and support diversity, inclusion, and our differences. We are committed to providing a safe work environment and a company culture of mutual respect where equal employment opportunities are available to all applicants and teammates. We seek to recruit, hire, and retain the most talented people from a diverse candidate pool. We strongly encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, intersectional individuals, foreign-born residents, and veterans to apply. We have a deep conviction that diversity and inclusion among our teams, our communities, and our physical and virtual workplaces is vital to the success of EnsoData's mission to improve healthcare access, outcomes, and affordability for patients and communities everywhere globally.

If you are a job seeker applying to EnsoData and you feel that you need to request an accommodation or alternative application, please contact Angela at angela@ensodata.com.

The applicant tracking system used to collect candidate resumes has artificial intelligence features built into it which may or may not be used during candidate recruitment and selection.