Required : • PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical ... Python, C, C++, Java, JavaScript or Golang. • Experience in Machine Learning or Artificial ...
Required : • PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical ... Python, C, C++, Java, JavaScript or Golang. • Experience in Machine Learning or Artificial ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... Master's Degree or PhD in relevant field. * Familiarity with physics-informed ML approaches ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... Master's Degree or PhD in relevant field. * Familiarity with physics-informed ML approaches ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... Master's Degree or PhD in relevant field. * Familiarity with physics-informed ML approaches ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... Master's Degree or PhD in relevant field. * Familiarity with physics-informed ML approaches ...
Machine Learning Scientist - AI Trainer
Madison, WI · On-site +1
$60/hr
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...
Machine Learning Scientist - AI Trainer
Madison, WI · On-site +1
$60/hr
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...
Assistant Professor candidates will have a PhD and at least 2 years of relevant research experience ... machine learning combined with domain expertise in materials science and engineering, and a ...
Assistant Professor candidates will have a PhD and at least 2 years of relevant research experience ... machine learning combined with domain expertise in materials science and engineering, and a ...
Assistant, Associate, Or Full Professor In Ai & Machine Learning In Polymeric Materials (rise-ai)
Madison, WI · On-site
Assistant Professor candidates will have a PhD and at least 2 years of relevant research experience ... machine learning combined with domain expertise in materials science and engineering, and a ...
Assistant, Associate, Or Full Professor In Ai & Machine Learning In Polymeric Materials (rise-ai)
Madison, WI · On-site
Assistant Professor candidates will have a PhD and at least 2 years of relevant research experience ... machine learning combined with domain expertise in materials science and engineering, and a ...
Assistant, Associate, or Full Professor in AI & Machine Learning in Polymeric Materials (RISE-AI)
Madison, WI · On-site
Assistant Professor candidates will have a PhD and at least 2 years of relevant research experience ... machine learning combined with domain expertise in materials science and engineering, and a ...
Assistant, Associate, or Full Professor in AI & Machine Learning in Polymeric Materials (RISE-AI)
Madison, WI · On-site
Assistant Professor candidates will have a PhD and at least 2 years of relevant research experience ... machine learning combined with domain expertise in materials science and engineering, and a ...
Machine Learning Scientist - AI Trainer
Oregon, WI · On-site +1
$40/hr
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...
Machine Learning Scientist - AI Trainer
Oregon, WI · On-site +1
$40/hr
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...
$40/hr
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...
$40/hr
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...
Machine Learning Scientist - AI Trainer
Wausau, WI · On-site +1
$40/hr
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...
Machine Learning Scientist - AI Trainer
Wausau, WI · On-site +1
$40/hr
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...
Software Engineer, PhD, Early Career, Infrastructure, 2026 Start
Madison, WI · On-site
$174.40K - $206.70K/yr
Required : • PhD degree in Computer Science, or a related field, or equivalent practical ... machine learning, networking, or systems. • Experience in designing and implementing a complex ...
Software Engineer, PhD, Early Career, Infrastructure, 2026 Start
Madison, WI · On-site
$174.40K - $206.70K/yr
Required : • PhD degree in Computer Science, or a related field, or equivalent practical ... machine learning, networking, or systems. • Experience in designing and implementing a complex ...
$89.83K - $121.05K/yr
Working collaboratively, these two researchers will accelerate research in applied machine learning ... with PhD students Sponsorship / work rights for Australia Visa Sponsorship is available Pre ...
New
$89.83K - $121.05K/yr
Working collaboratively, these two researchers will accelerate research in applied machine learning ... with PhD students Sponsorship / work rights for Australia Visa Sponsorship is available Pre ...
New
Data Scientist II
Waukesha, WI · On-site
Demonstrated experience applying machine learning and data mining techniques. Preferred Qualifications: * Master's and/or PhD are a strong plus * Experience in agentic AI across organization
Data Scientist II
Waukesha, WI · On-site
Demonstrated experience applying machine learning and data mining techniques. Preferred Qualifications: * Master's and/or PhD are a strong plus * Experience in agentic AI across organization
Data Scientist II
Waukesha, WI · On-site
Demonstrated experience applying machine learning and data mining techniques. Preferred Qualifications: * Master's and/or PhD are a strong plus * Experience in agentic AI across organization
Data Scientist II
Waukesha, WI · On-site
Demonstrated experience applying machine learning and data mining techniques. Preferred Qualifications: * Master's and/or PhD are a strong plus * Experience in agentic AI across organization
Production Machine Operator
Milwaukee, WI · On-site
$29.40/hr
Our company is a place that prioritizes being a force for good, a place to expand learning, explore ... Participating in startup, changeover, and shutdown of operating equipment * Assisting other ...
Production Machine Operator
Milwaukee, WI · On-site
$29.40/hr
Our company is a place that prioritizes being a force for good, a place to expand learning, explore ... Participating in startup, changeover, and shutdown of operating equipment * Assisting other ...
Our company is a place that prioritizes being a force for good, a place to expand learning, explore ... Participating in startup, changeover, and shutdown of operating equipment * Assisting other ...
Our company is a place that prioritizes being a force for good, a place to expand learning, explore ... Participating in startup, changeover, and shutdown of operating equipment * Assisting other ...
... Machine Learning/AI, or comparable field Minimum Required Experience: 1+ year Preferred Education: M.S. or PhD Preferred Experience: 1+ year or Thesis, Dissertation, or Publications with direct ...
... Machine Learning/AI, or comparable field Minimum Required Experience: 1+ year Preferred Education: M.S. or PhD Preferred Experience: 1+ year or Thesis, Dissertation, or Publications with direct ...
... Machine Learning/AI, or comparable field Minimum Required Experience: 1+ year Preferred Education: M.S. or PhD Preferred Experience: 1+ year or Thesis, Dissertation, or Publications with direct ...
... Machine Learning/AI, or comparable field Minimum Required Experience: 1+ year Preferred Education: M.S. or PhD Preferred Experience: 1+ year or Thesis, Dissertation, or Publications with direct ...
Masters or PhD in a field that is emphasized in building and maintaining machine learning models that help drive insights, along with thought leadership in the data science field. * 5+ years of ...
Masters or PhD in a field that is emphasized in building and maintaining machine learning models that help drive insights, along with thought leadership in the data science field. * 5+ years of ...
Lead Scientist - Material and Process
Neenah, WI · On-site
$104.50K - $135.90K/yr
Use data analytics, statistics, and machine learning tools (preferred) to analyze products and ... Bachelors or Advanced degree (MS or PhD preferred) or equivalent experience in Chemical Engineering ...
Lead Scientist - Material and Process
Neenah, WI · On-site
$104.50K - $135.90K/yr
Use data analytics, statistics, and machine learning tools (preferred) to analyze products and ... Bachelors or Advanced degree (MS or PhD preferred) or equivalent experience in Chemical Engineering ...
Phd Machine Learning Startup information
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.
What are popular job titles related to Phd Machine Learning Startup jobs in Wisconsin? For Phd Machine Learning Startup jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Phd Machine Learning Startup jobs in Wisconsin look for? The top searched job categories for Phd Machine Learning Startup jobs in Wisconsin are:
What cities in Wisconsin are hiring for Phd Machine Learning Startup jobs? Cities in Wisconsin with the most Phd Machine Learning Startup job openings:
Full-time
Posted 9 hours ago
Google rating
8.7
Based on 91 frontline employees who took The Breakroom Quiz
36th of 183 rated software companies
Job description
Job Summary:
Google is one of the world’s leading producers and consumers of ML and AI technology. They are seeking a Software Engineer to develop next-generation technologies that change how billions of users connect and interact with information. The role involves collaborating on advanced ML systems, optimizing performance, and elevating engineering excellence.
Responsibilities:
• Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using your research expertise.
• Support building end-to-end ML Systems that involves working across the full stack, from low-level hardware acceleration and compiler optimizations to high-level model architecture and production APIs, transforming your research expertise into robust, scalable products.
• Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals.
• Elevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocating best engineering practices.
Qualifications:
Required:
• PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience.
• Experience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript or Golang.
• Experience in Machine Learning or Artificial Intelligence.
Preferred:
• Research experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment.
• Experience in designing, training, or refining complex ML/AI models.
• Experience in deep learning frameworks like TensorFlow/Jax/Pytorch.
• Experience in building a stack for an AI-powered application, including data ingestion and processing pipelines, building APIs, and connecting the model to a user-facing interface.
• Familiarity with model architectures (CNNs, NLP Transformers, Diffusion/Vision Transformers).
• Availability to start full-time role in 2026.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.
Google is one of the world’s leading producers and consumers of ML and AI technology. They are seeking a Software Engineer to develop next-generation technologies that change how billions of users connect and interact with information. The role involves collaborating on advanced ML systems, optimizing performance, and elevating engineering excellence.
Responsibilities:
• Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using your research expertise.
• Support building end-to-end ML Systems that involves working across the full stack, from low-level hardware acceleration and compiler optimizations to high-level model architecture and production APIs, transforming your research expertise into robust, scalable products.
• Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals.
• Elevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocating best engineering practices.
Qualifications:
Required:
• PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience.
• Experience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript or Golang.
• Experience in Machine Learning or Artificial Intelligence.
Preferred:
• Research experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment.
• Experience in designing, training, or refining complex ML/AI models.
• Experience in deep learning frameworks like TensorFlow/Jax/Pytorch.
• Experience in building a stack for an AI-powered application, including data ingestion and processing pipelines, building APIs, and connecting the model to a user-facing interface.
• Familiarity with model architectures (CNNs, NLP Transformers, Diffusion/Vision Transformers).
• Availability to start full-time role in 2026.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Google
Sourced by ZipRecruiter
Industry
Software development and technology, communication and media
Company size
10,000+ Employees
Headquarters location
Mountain View, CA, US