1

Phd Machine Learning Startup Jobs in Delaware (NOW HIRING)

Own and drive strong execution of Management of Change (MOC) and Pre-Startup Safety Review (PSSR ... Support investigations, learning reviews, and corrective actions related to machine safety events ...

Sophisticated Scientific Degree (MBBS, PharmD, PhD, or MD) or equivalent education * A minimum of 7 ... Experience integrating emerging technologies-such as AI-supported insights, machine learning tools ...

Showing results 41-60

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 Delaware?

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

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

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

Senior AI & Automation Specialist (Hybrid)

Bancorp Bank

Wilmington, DE • On-site

$90 - $130/hr

Other

Posted 2 days ago

New


Job description

Overview

***This position is available as a hybrid position in our Wilmington, DE office.***

The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks. The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.

Responsibilities
  • Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
  • Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
  • Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
  • Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
  • Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
  • Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
  • Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
  • Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
  • Transforms business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
  • Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
  • Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
  • Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
  • Performs other duties as assigned.
  • No travel required.
Qualifications

Education / Experience Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
  • Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
  • Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
  • Proven ability to lead complex, cross-functional technology initiatives.
  • Experience integrating AI capabilities into operational workflows and automation platforms.
  • Strong understanding of model risk, data governance, and regulatory considerations within financial services.

Preferred Qualifications

  • Advanced degree (Master’s or PhD) in AI, Data Science, or related discipline.
  • Experience with NLP, document intelligence, and predictive modeling techniques.
  • Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
  • Familiarity with enterprise AI governance frameworks and model lifecycle management.
  • Strong understanding of cloud-based AI architecture and API-driven integrations.
  • Exceptional stakeholder engagement and ability to translate technical concepts into business value.
  • Experience building or scaling intelligent automation programs within financial services.
  • Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations.
  • Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.
Benefits

Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/

The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.

Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.

#J-18808-Ljbffr