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Phd Machine Learning Startup Jobs in Colorado (NOW HIRING)

Capital Rx

Senior Applied AI/ML Scientist

Denver, CO · On-site

... paced, startup environment. • Good written communication skills that enable collaboration in a remote environment. Preferred : • PhD in AI, Machine Learning or Computer Science preferred. • ...

Cisco

Principal Machine Learning Engineer

Denver, CO

$291.50K - $369.10K/yr

PhD in Computer Science, or related quantitative field, plus7+ years of industry research ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

New

BranchLab

Data Scientist

Boulder, CO · On-site

$105K - $130K/yr

... machine learning techniques. These models will be used for privacy-first pharmaceutical ... PhD in Data Science, Statistics, Epidemiology, Applied Math, Computer Science, or related field (or ...

BranchLab

Senior Data Scientist

Boulder, CO · On-site

$130K - $180K/yr

... PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or related field (or equivalent practical experience) • 5+ years of experience building machine learning or ...

General Atomics

Data Scientist III

Aurora, CO · On-site

$98.10K - $171.40K/yr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics ...

General Atomics

Data Scientist IV

Aurora, CO · On-site

$116.48K - $208.51K/yr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics ...

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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.

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.
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What cities in Colorado are hiring for Phd Machine Learning Startup jobs? Cities in Colorado with the most Phd Machine Learning Startup job openings:
Phd Machine Learning Startup jobs near you
Infographic showing various Phd Machine Learning Startup job openings in Colorado as of May 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Principal Machine Learning Data Scientist, Gen AI

Principal Machine Learning Data Scientist, Gen AI

Xometry

Denver, CO • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

  • Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
  • Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives.
  • Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
  • Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
  • Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
  • Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
  • Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
  • Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities.
  • Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
  • Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Qualifications:

  • A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
  • 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
  • Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
  • Experience with multimodal data processing (e.g., combining text, image, and 3D data).
  • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
  • Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
  • Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
  • Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
  • Experience in the manufacturing, supply chain, or similar industries is a plus.

The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. 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

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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

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