1

Phd Machine Learning Startup Jobs in Kentucky (NOW HIRING)

$180 - $225/hr

  • Medical

  • Life

  • PTO

PhD or Master's in a STEM field and 4+ years in Triage, Performance Analytics, for fortune 500 including infrastructure as code, ML, NLP, or deep learning. * Strong productionization, CI/CD ...

New

$162 - $185/hr

Build machine learning models through all phases of development, from design through training ... PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)* At least 3 years ...

$162 - $185/hr

Build machine learning models through all phases of development, from design through training ... A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics ...

$253 - $380/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

When you join the Latitude team, you'll work alongside leading experts across machine learning and ... of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in ...

New

$160 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative technical field. * 8+ years of industry experience specializing in advanced data ...

New

Data Scientist

Lexington, KY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline * 5+ years of hands-on experience building AI/ML/NLP solutions and applying ...

Data Scientist

Lexington, KY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline * 5+ years of hands-on experience building AI/ML/NLP solutions and applying ...

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field. * 2+ years of experience in AI, data science, or predictive modeling * Proficiency in multiple ...

$130 - $169/hr

Contract PrellisBiologics is a dynamic startup revolutionizing immunology. We developcutting ... About Prellis Biologics At Prellis we integrate human biology with machine learning. We aim to ...

New

$150 - $220/hr

... startup. What Will You Do? As a Director of Data & Analytics at Jackpot, you will set the vision ... machine learning models, and business operations. Additionally, you will build a world-class ...

$166 - $210/hr

PhD in AI, Data Science, or a related technical discipline. * Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. * Systems Domain:

Showing results 21-40

Phd Machine Learning Startup information

What does a PhD machine learning professional do at a startup?

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 skills and qualifications are needed to thrive as a PhD machine learning professional in a startup?

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.

What are common challenges faced by PhD machine learning professionals in 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.

How much does a PhD in machine learning make?

A PhD in machine learning working at a startup or tech company typically earns between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning or AI may command higher salaries, especially in competitive markets.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, or data scientist in startups and tech companies. It enables expertise in developing algorithms, analyzing large datasets, and deploying AI models using tools like Python, TensorFlow, or PyTorch. These roles often require strong programming skills, knowledge of statistical methods, and the ability to work on innovative AI solutions.

What are popular job titles related to Phd Machine Learning Startup jobs in Kentucky?

For Phd Machine Learning Startup jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Phd Machine Learning Startup jobs?

Cities in Kentucky with the most Phd Machine Learning Startup job openings:

Staff Machine Learning Engineer - Generative AI

Xometry

Lexington, KY • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.

How You'll Contribute:

  • Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace
  • Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production

What You'll Bring to Xometry:

  • Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
  • Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance)

We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid


Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013