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Phd Machine Learning Startup Jobs in Kentucky (NOW HIRING)

AI Developer Lead

Lexington, KY · On-site

$81K - $138K/yr

Bachelor's degree in Computer Science, Machine Learning, AI, Data Science, Engineering, Mathematics, or related field (Master's or PhD preferred). * 7+ years of experience in AI/ML engineering, data ...

Our data products -- derived from satellite imagery and machine learning -- give utilities a ... Prior work in a high-growth startup or mission-driven company About Our Team We are a group of 100 ...

... job learning, and promoting safety and quality standards. Supervisory Responsibilities Yes ... startup/commissioning. * Proficiency with gauges, recovery machines, multimeters, combustion ...

... job learning, and promoting safety and quality standards. Supervisory Responsibilities Yes ... startup/commissioning. * Proficiency with gauges, recovery machines, multimeters, combustion ...

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What are some common challenges faced by PhD-level professionals working in machine learning startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

What do PhD holders in Machine Learning do at startups?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional in a startup environment, and why are they important?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.
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AI RESEARCH SCIENTIST/ENGINEER

AI RESEARCH SCIENTIST/ENGINEER

Gen Nine, Inc.

Covington, KY

Full-time

Posted 22 days ago


Job description

The Company

Gen Nine develops state-of-the-art, hardware and software solutions for healthcare applications. Working at Gen Nine means applying your passion and intellect to help solve some very challenging technical problems and thereby create some of the most advanced products in the world. If you're interested in working with small teams of highly talented and motivated engineers seeking to make a difference in the world, Gen Nine may be the place for you.


Location

This position is based in the vibrant Cincinnati area. Our offices overlook the spectacular Cincinnati skyline and are within walking distance to downtown shopping, shopping malls, restaurants, entertainment, waterfront parks, major league sporting venues and are less than a 20-minute drive to CVG, an international airport.


Position

We are looking for a creative expert who is interested in applying AI techniques to solve problems in healthcare. These include biological simulations, sensor data processing and analysis, and health and safety monitoring as part of multiple full-time, multi-year research and development projects funded by the National Institutes of Health. This is a paid, full-time, onsite position.


Skills, Experience and Q
ualifications

  • The ideal candidate will be a passionate engineer/scientist who is comfortable in both the hardware and software worlds with an advanced degree in Computer Science, Engineering, or another STEM field.
  • Excellent programming skills in Python, C++, Tensorflow, PyTorch, CUDA and/or similar languages.
  • Broad familiarity with Deep Learning tools and processes used in 3D Computer Graphics, and Animation.
  • Work experience with machine learning, deep learning, and reinforcement learning.
  • A background in machine learning techniques with large amounts of noisy data, and curiosity in applying it to complex problems.
  • Relevant research experience and publications.
  • Be capable of developing effective techniques and infrastructure, from the initial idea to prototypes and products.
  • Have experience with cloud environments and multi-machine setups.
  • Enthusiasm and the ability to participate in a small-team environment in order to solve interesting and complex problems, with or without supervision.
  • Ability to think entrepreneurially and innovate in a real-world environment.
  • A PhD. Is preferred, but will consider a M.S. degree in Computer Science, Computational Neuroscience, Physics, Mathematics, Electrical/Computer Engineering, or a related field with appropriate experience.
Employment Type: FULL_TIME

Gen Nine logo

About Gen Nine

Sourced by ZipRecruiter

Industry

Fitness and sports centers

Company size

11 - 50 Employees

Headquarters location

Covington, KY, US

Year founded

2005