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Phd Machine Learning Startup Jobs in Ohio (NOW HIRING)

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... PhD in computer science, statistics, economics or related fields * Expert understanding of ...

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... PhD in computer science, statistics, economics or related fields Expert understanding of ...

... role or PhD in a quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role * Deep understanding of machine learning algorithms ...

... or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. • 6+ years of experience applying machine learning to real-world problems with ...

Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 6+ years of experience applying machine learning to real-world ...

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

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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 Ohio? For Phd Machine Learning Startup jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Phd Machine Learning Startup jobs? Cities in Ohio with the most Phd Machine Learning Startup job openings:
Software Engineering Manager Senior - Data and Automation - Machine Learning Operations

Software Engineering Manager Senior - Data and Automation - Machine Learning Operations

PNC Bank

Strongsville, OH • Hybrid

$80K - $217K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

72nd of 141 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Software Engineering Manager Senior within PNC's Data and Automation organization you will be based in Strongsville-OH, Pittsburgh-PA, Denver, CO or Dallas, TX.
Responsibilities include:
Acting as Senior Software/Data Manager to drive ML Ops initiatives in the Bank.
Leadership & Strategize: Define and execute the enterprise MLOps roadmap, selecting and integrating cutting-edge tools for feature stores, model training, deployment, and monitoring.
Enable & Collaborate: Partner directly with data science and application development teams to understand their challenges and provide elegant, scalable MLOps solutions.
Govern & Secure: Establish and enforce best practices for model management, versioning, and security, ensuring our ML platform is both powerful and compliant.
Mentor & Lead: Provide technical guidance to onshore and offshore development teams, fostering a culture of excellence in MLOps.
Evolve & Innovate: Stay ahead of the curve by evaluating new technologies (e.g., AWS SageMaker, MLflow, Kubernetes) and incorporating them into our tech stack to maintain a competitive edge.
Proven leadership experience in MLOps systems
Expertise with core MLOps capabilities
Solid understanding of machine learning principles and the end-to-end ML lifecycle platforms (e.g., MLflow, Kubeflow, or cloud-specific services like AWS SageMaker)
Experience supporting development teams and collaborating with product vendors on issue resolution and security vulnerabilities
DevOps/DataOps fundamentals: CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation).
Drive hybrid/on-prem deployments using OpenShift (OCP) and Kubernetes, ensuring cost efficiency and high availabilityPNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Manage a group of software engineers/managers across multiple product lines.
  • Oversee the talent management of engineering talent, including recruiting, mentoring, and enabling a culture of learning with a focus on engineering craftsmanship.
  • Foster technological innovation, ensuring adoption of current trends, capabilities, and practices emerging in the market. Encourage sound technology choices are made and drive innovative technology architecture and solution design.
  • Identify issues, share best practices, and drive continuous improvement.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsApplication Development, Business Management, Customer Solutions, Design, Group Problem Solving, Machine Learning Operations, Process Improvements, Release Management, Software Solutions, User Experience (UX) DesignCompetenciesAgile Development, Application Development Tools, Coaching Others, Continuous Learning, Design Thinking, Emerging Technologies, Influencing, InnovationWork ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is typically 8+ years. At least 5 years of prior management experience is typically required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $80,000.00 - $217,100.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 04/24/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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