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Machine Learning Research Intern Jobs in Ridgewood, NJ

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$224.30K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

CloudDevs

Machine Learning Intern

Manhattan, NY · Remote

We are looking for a talented Machine Learning Intern to join Optimspace, a leading Information Technology company. As a Machine Learning Intern, you will have the opportunity to work on ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

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Machine Learning Research Intern information

See Ridgewood, NJ salary details

$25.8K

$43.1K

$89K

How much do machine learning research intern jobs pay per year?

As of Jun 3, 2026, the average yearly pay for machine learning research intern in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by Machine Learning Research Interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a Machine Learning Research Intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What are popular job titles related to Machine Learning Research Intern jobs in Ridgewood, NJ? For Machine Learning Research Intern jobs in Ridgewood, NJ, the most frequently searched job titles are:
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What cities near Ridgewood, NJ are hiring for Machine Learning Research Intern jobs? Cities near Ridgewood, NJ with the most Machine Learning Research Intern job openings:
Machine Learning Research Intern jobs near you
Research Intern, Machine Learning

Research Intern, Machine Learning

Output, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision

Posted 23 days ago

Job description

Research Intern (PhD), Machine Learning
Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible.
Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator.
Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.
  • You will contribute to the development of novel machine learning approaches for biological data analysis and interpretation
  • You will design and implement experiments to evaluate and improve AI models using large-scale biological datasets
  • You will collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery
  • You will present your research findings and contribute to publications in top-tier conferences and journals
  • You will have the opportunity to work on projects that directly impact the future of medicine and biotechnology

Who We're Looking For
  • You are currently pursuing a PhD in Machine Learning, Computer Science, Computational Biology, or a related field
  • You have a strong background in deep learning, with experience in frameworks such as PyTorch or TensorFlow
  • You have a proven track record of research, demonstrated by publications at conferences such as NeurIPS, ICML, ICLR, or relevant computational biology venues
  • You are proficient in Python and have experience with large-scale data processing and analysis
  • You have excellent problem-solving skills and the ability to work independently on complex research problems
  • You are passionate about applying AI to solve real-world challenges in biology and medicine
  • You have strong communication skills and can effectively present technical concepts to diverse audiences
  • You thrive in a fast-paced, startup environment and are excited about making a significant impact in a growing field
Bonus Points
  • Experience with biological data analysis or computational biology projects
  • Familiarity with generative AI models, such as transformers or diffusion models
  • Contributions to open-source machine learning or bioinformatics projects

Our Values
♥ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.
Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.
Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.
Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.
Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.
What We Offer
  • We encourage new and different ideas, creativity and contrarian thinking
  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
  • You own your day-to-day management. What we care about is that we all hit our milestones
  • Competitive salary and equity in a growing, well-funded startup
  • Excellent medical, dental, and vision coverage

Apply