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Phd Machine Learning Startup Jobs in Wisconsin (NOW HIRING)

Elephas

Senior Data Scientist

Madison, WI · On-site

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics ...

General Mills

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 ...

University of Wisconsin-Madison

Scientist I

Madison, WI · On-site +1

$60K - $80K/yr

Training and/or published research in data science & machine learning * Domain expertise in high-energy physics and/or astrophysics Education: PhD in physics or related fields (especially computer ...

Wisconsin

Scientist I

Madison, WI · On-site

$60K - $80K/yr

Training and/or published research in data science & machine learning * Domain expertise in high-energy physics and/or astrophysics Education: PhD in physics or related fields (especially computer ...

University of Wisconsin-Madison

Scientist I

Madison, WI · On-site

$60K - $80K/yr

Training and/or published research in data science & machine learning * Domain expertise in high-energy physics and/or astrophysics Education: PhD in physics or related fields (especially computer ...

LAVELLE INDUSTRIES INC

3rd Shift Press Operator

Burlington, WI · On-site

$17.50 - $22.75/hr

Performing machine adjustments (startup, running, shutdown) needed to maintain part quality and ... Engaging in continuous learning of new skills and equipment to keep our process up to date and ...

Infleqtion

Sr Software Engineer

Madison, WI · On-site

$106K - $145K/yr

At Infleqtion we embrace a startup mentality driven by results, urgency, and customer-focused ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

Infleqtion

Sr Software Engineer

Madison, WI

$106K - $145K/yr

At Infleqtion we embrace a startup mentality driven by results, urgency, and customer-focused ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

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Phd Machine Learning Startup information

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.
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:
Phd Machine Learning Startup jobs near you

AI Engineer/ML Engineer - Senior Developers - AI Training - Milwaukee, US

Prolific Academic Ltd

Milwaukee, WI • On-site, Remote

$80/hr

Full-time

Posted 10 days ago

Job description

AI & Machine Learning Engineer - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
  • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment.
  • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
  • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
  • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
  • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content.
What you'll be doing in the role
  • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
  • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
  • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness.
  • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down.
  • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Key Technologies
  • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras.
  • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
  • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
  • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Click here to apply directly - https://app.prolific.com/register/participant/waitlist/?campaign_code=C14EMWJI
Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.