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Remote Machine Learning Postdoc Jobs in Ohio (NOW HIRING)

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is

Digital - Principal SRE

Columbus, OH · On-site +1

$55 - $73.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary The Data

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your

Showing results 41-60

Remote Machine Learning Postdoc information

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What are the most commonly searched types of Machine Learning Postdoc jobs in Ohio?

The most popular types of Machine Learning Postdoc jobs in Ohio are:

What are popular job titles related to Remote Machine Learning Postdoc jobs in Ohio?

For Remote Machine Learning Postdoc jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Postdoc jobs in Ohio look for?

The top searched job categories for Remote Machine Learning Postdoc jobs in Ohio are:

What cities in Ohio are hiring for Remote Machine Learning Postdoc jobs?

Cities in Ohio with the most Remote Machine Learning Postdoc job openings:

Applied AI Engineer Intern - Summer 2027 (May/June Start)

Evendale, OH • Remote

$20/hr

Full-time

Posted 11 days ago


Job description

Job Description SummaryAt GE Aerospace, our AI engineers don't just support projects - they help drive them. From day one, interns and co-ops take on real-world challenges, owning work from start to finish and building solutions that connect data, tools, cloud, AI, and engineering to advance the future of flight.
As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.Job Description

What You will Do

  • Develop technical solutions for engineers to evaluate and adopt data and AI solutions.

  • Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.

  • Build and present product architectures, write technical code, and demo applications to stakeholders.

  • Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.

  • Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

  • Use your strengths to support team members and build cross-functional relationships across the company.

  • Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

Qualifications

  • Currently enrolled in a Bachelor's degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or credentialed software accelerator program.

  • Minimum 3.7 cumulative GPA off a 4.0 scale without rounding

No prior work experience is required.

Desired Characteristics

  • Strong academic performance in Computer Science or other STEM disciplines

  • Experience designing AI solutions and architecting distributed data systems

  • Proficiency in programming and debugging with Python, C#, C++, and SQL

  • Customer-centric mindset with ability to lead design thinking workshops

  • Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision

  • Experience building solutions using public cloud platforms such as AWS or Azure

  • AWS and/or Azure certification

About The Internship

  • Location: Remote

  • Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city.

  • Travel Opportunities

  • Real-world project ownership

  • Mentorship from experienced engineers

  • Opportunity for return offers

Equal Opportunity Employer

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

#LI-Remote - This is a remote position

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.


Relocation Assistance Provided: No

#LI-Remote - This is a remote position