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Deep Learning Intern Jobs in Remote, OR (NOW HIRING)

Syniti

Intern

OR · On-site

$14 - $18.75/hr

We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex ... At Syniti you will find a supportive environment and access to learning tools, but micromanagement ...

Syniti

Intern

OR · On-site +1

$14 - $18.75/hr

We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex ... At Syniti you will find a supportive environment and access to learning tools, but micromanagement ...

All JobsDeep Learning Intern JobsDeep Learning Intern Jobs in Remote, OR

Deep Learning Intern information

See Remote, OR salary details

$8

$17

$24

How much do deep learning intern jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for deep learning intern in Remote, OR is $17.02, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects can a Deep Learning Intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What are the key skills and qualifications needed to thrive as a Deep Learning Intern, and why are they important?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

Which 5 jobs will survive AI?

Deep Learning Interns and other roles involving complex problem-solving, creativity, and emotional intelligence are likely to persist despite AI advancements. Jobs that require human judgment, interpersonal skills, and domain expertise—such as healthcare professionals, educators, skilled trades, researchers, and managers—are less susceptible to automation. Continuous learning and adapting to new tools like AI and machine learning are essential for job security in these fields.

Is 20 dollars an hour good for an internship?

For a Deep Learning Intern, $20 an hour is generally considered competitive, especially for entry-level positions that may require basic programming skills in Python and familiarity with machine learning frameworks. Internships often pay between minimum wage and $25 per hour, depending on the company, location, and required skills. Factors such as workload, learning opportunities, and industry standards should also be considered when evaluating compensation.

What does a Deep Learning Intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Deep Learning Interns, tend to offer competitive salaries due to high demand for specialized skills such as programming, data analysis, and knowledge of frameworks like TensorFlow or PyTorch. Entry-level positions may have lower pay, but experienced ML professionals often earn above average salaries in the tech industry.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for students pursuing careers in finance, accounting, and consulting. For a Deep Learning Intern, these firms may offer opportunities in technology consulting or data analytics, often requiring strong technical skills and relevant coursework.
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Deep Learning Intern jobs near you
Intern

Intern

Syniti

OR • On-site

$14 - $18.75/hr

Other

Posted 22 days ago

Job description

ABOUT US

Syniti, part of Capgemini, tackles the hardest work in data for the world's largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti's award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. 

About the Role

Syniti is seeking a highly motivated Legal Intern to support our Legal & Compliance team. This internship offers hands-on experience in a fast-paced technology environment, with exposure to legal matters related to data management, SaaS solutions, privacy, and corporate operations.

The Legal Intern will assist with a wide range of activities including legal operations, compliance initiatives, legal research, contracts and corporate document drafting and review.

Key Responsibilities

Support day-to-day legal operations, including scheduling, document preparation, and coordination of internal and external requests
Interacting with external law firms, assisting with tracking invoices, summarizing billing information, and coordinating with internal finance teams and outside vendors
Conduct legal research on topics such as data privacy (GDPR, CCPA), data governance, intellectual property, Artificial Intelligence and technology law
Assist in drafting, reviewing, and revising corporate documents and contracts.
Support compliance efforts related to data protection, information security, and regulatory requirements
Review and summarize legal documents, case law, and regulations affecting Syniti's business
Assist in maintaining and updating internal legal templates, policies, and procedures
Assist with corporate governance and other administrative legal tasks as needed

Qualifications & Requirements

Currently enrolled in an accredited law school or legal education program
Strong interest in AI, technology law, data privacy, or corporate law
Excellent legal research, writing, and analytical skills
Strong attention to detail and ability to work in a fast-paced, detail-oriented environment
Ability to handle confidential and sensitive information with discretion
Proficiency in Microsoft Office, Excell and familiarity with legal research platforms (Westlaw, LexisNexis)
Comfort working with multiple systems and tools (e.g., document management systems, AI tools, collaboration tools, expense/reporting platforms)
Strong communication and collaboration skills
Strong organizational skills with the ability to manage multiple workstreams and prioritize effectively

Preferred Qualifications

Coursework or experience in data privacy, information security, or intellectual property law
Familiarity with Artificial Intelligence and data protection regulations (e.g., GDPR, CCPA)
Interest in enterprise software, SaaS, or data-driven businesses

Prior internship experience in a legal department or law firm

WHAT WE OFFER

  • Trust in your talent. At Syniti you will find a supportive environment and access to learning tools, but micromanagement is not our style.
  • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly you will have the chance to shape our journey and share in our success story.
  • Support. We all rely on each other and enable each other to be successful. You won't stand alone.
  • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating with each depicting a different journey and we want to hear them all.
  • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them.
  • An open organisation. Titles don't define access at Syniti. We stay humble regardless of where we sit in the organisation. We want to hear every voice, listen to all the ideas and make sure everyone's work is seen and valued.

Our Commitment to Inclusion

At Syniti, we're committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger - and we value the unique backgrounds, experiences, and voices each person brings to our team. 

We welcome applicants based on their skills and potential, and we're dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know - we're here to support you. 

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