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Temporary Medical Imaging Machine Learning Jobs in Missouri

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Comprehensive medical, dental, and vision coverage. * Retirement Plans: Access to a 401(k) plan.

Staff, Machine Learning Engineer

Noel, MO · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Health benefits include medical, vision and dental coverage. Financial benefits include 401(k) ...

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Health benefits include medical, vision and dental coverage. Financial benefits include 401(k) ...

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Health benefits include medical, vision and dental coverage. Financial benefits include 401(k) ...

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML ... Health benefits include medical, vision and dental coverage. Financial benefits include 401(k) ...

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Temporary Medical Imaging Machine Learning information

What is the difference between Temporary Medical Imaging Machine Learning vs Medical Imaging Technologist?

AspectTemporary Medical Imaging Machine LearningMedical Imaging Technologist
CredentialsTypically requires knowledge of machine learning, programming, and healthcare dataRequires certification or licensing in radiologic technology
Work EnvironmentData analysis settings, research labs, healthcare IT departmentsHospitals, clinics, imaging centers
Industry UsageDeveloping AI tools for medical imaging, research projectsPerforming diagnostic imaging procedures on patients

Temporary Medical Imaging Machine Learning focuses on developing and applying AI algorithms to interpret medical images, often in research or tech settings. Medical Imaging Technologists operate imaging equipment directly on patients for diagnostic purposes. While both roles involve medical imaging, one is tech-focused on data and AI, and the other on patient care and image acquisition.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Missouri? The most popular types of Medical Imaging Machine Learning jobs in Missouri are:
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What cities in Missouri are hiring for Temporary Medical Imaging Machine Learning jobs? Cities in Missouri with the most Temporary Medical Imaging Machine Learning job openings:

Lead Machine Learning Engineer

6AM City, LLC

California, MO • On-site

$180 - $260/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Description

About Nudge

At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people.

To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other.

About the role

As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience. You’ll lead technical direction across core ML initiatives while remaining deeply involved in architecture, modeling, and deployment.

In this role, you will:

  • Lead the design and development of imaging algorithms that leverage in-house ultrasound transducers and high-performance compute to image the brain and skull

  • Drive the development of high-resolution acoustic simulation systems to model the propagation and scattering of ultrasound energy and accurately predict delivered dose

  • Architect computer vision and real-time inference systems that track brain motion and dynamically adapt targeting parameters during treatment

  • Partner closely with mechanical engineers, electrical engineers, ultrasound engineers, transducer designers, and neuroscientists to translate research concepts into robust production systems

  • Define technical strategy and best practices across machine learning, modeling, simulation, and signal processing infrastructure

  • Mentor and elevate other engineers through technical leadership, code review, and systems-level thinking

  • Help shape the long-term ML roadmap as we apply machine learning in a domain where it has not traditionally been used

About you

We are looking for engineers with at least 3 years of industry experience. Regardless of career level, you should have:

  • Strong first-principles understanding of engineering, physics, and signal processing.

  • Experience writing production-level code (Python preferred)

  • A degree in Computer Science or similar engineering discipline

  • You do not need prior experience with ultrasound or neuroscience

  • Shipped products that deliver value in the real world; ideally, you will have solved problems involving messy real-world sensors

  • High integrity and strong professional judgement

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