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Biology Machine Learning Intern Jobs (NOW HIRING)

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 ...

As a Machine Learning Intern at Xometry, you'll work on real-world projects that directly impact our AI-driven solutions, collaborate with experienced machine learning engineers, and learn how to ...

As a Machine Learning Intern at Xometry, you'll work on real-world projects that directly impact our AI-driven solutions, collaborate with experienced machine learning engineers, and learn how to ...

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.

POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key drivers of growth, our operations highly rely on machine learning models, from business decisions to customer ...

Develop and improve machine learning models for Ads ranking and recommendation systems * Design and build features for ranking algorithms using large-scale datasets * Process and analyze billions of ...

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14, 2026) Job Reports To: Director of AI Salary Range: $30.00-$35.00/hr. About Jaan Health/Phamily Jaan ...

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Biology Machine Learning Intern information

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$25.5K

$42.6K

$88K

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

As of May 28, 2026, the average yearly pay for biology machine learning intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Biology Machine Learning Intern, you need a foundational understanding of biology, statistics, and programming (usually Python or R), often supported by coursework or a degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), bioinformatics tools, and data analysis platforms is typically expected. Strong problem-solving abilities, attention to detail, and teamwork skills help interns excel in interdisciplinary research environments. These skills and qualities are crucial for effectively analyzing biological data, developing models, and contributing to innovative scientific solutions.

What kinds of projects do Biology Machine Learning Interns typically work on, and how do these projects contribute to the team?

Biology Machine Learning Interns often work on interdisciplinary projects that apply machine learning techniques to analyze biological data, such as genomics, protein structures, or cellular imaging. These projects may involve developing predictive models, automating data processing pipelines, or extracting meaningful patterns from large, complex datasets. Interns usually collaborate closely with both biologists and data scientists, gaining hands-on experience and contributing valuable insights that support ongoing research or product development. This collaborative environment not only enhances technical skills but also provides exposure to real-world applications of AI in life sciences.

What does a Biology Machine Learning Intern do?

A Biology Machine Learning Intern works at the intersection of biology and computer science, applying machine learning techniques to analyze biological data. Their tasks often include processing large datasets, building predictive models, and supporting research projects that use artificial intelligence to solve biological problems. Interns may work on projects like drug discovery, genomics, or protein structure prediction, and typically collaborate with scientists and engineers. This role helps bridge the gap between experimental biology and data-driven insights.
More about Biology Machine Learning Intern jobs
What cities are hiring for Biology Machine Learning Intern jobs? Cities with the most Biology Machine Learning Intern job openings:
What states have the most Biology Machine Learning Intern jobs? States with the most job openings for Biology Machine Learning Intern jobs include:
Infographic showing various Biology Machine Learning Intern job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Intern

Machine Learning Intern

CloudDevs

Manhattan, NY • Remote

Internship

This job post has expired today. Applications are no longer accepted.


Job description

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 cutting‐edge projects that leverage machine learning algorithms and techniques. This role is crucial in helping Optimspace develop innovative solutions and enhance its products using data‐driven insights and predictive modeling.

As a Machine Learning Intern at Optimspace, you will be involved in projects that focus on data analysis, pattern recognition, and algorithm development. This role plays a key part in driving the company's success by contributing to the creation of intelligent systems and improving decision‐making processes. Join us to gain hands‐on experience in the exciting field of machine learning while working in a dynamic and collaborative remote environment.

Responsibilities Assist in collecting, cleaning, and preprocessing data for machine learning models. Support the development and implementation of machine learning algorithms. Conduct experiments to evaluate the performance of machine learning models.

Collaborate with team members to analyze data and generate insights. Contribute to the optimization and tuning of machine learning models. Assist in deploying machine learning models into production environments.

Stay updated on the latest trends and advancements in machine learning. Document processes, results, and findings for future reference. Requirements Pursuing a degree in Computer Science, Data Science, or related field.

Strong understanding of machine learning concepts and algorithms. Proficiency in programming languages such as Python, R, or Java. Knowledge of data manipulation and visualization tools like Pandas, NumPy, and Matplotlib.

Ability to work independently and in a team environment. Excellent problem‐solving and analytical skills. Good communication and interpersonal abilities.

Attention to detail and a passion for learning and growth. About the company Join our team at Optimspace and embark on a journey of growth and innovation. #J-18808-Ljbffr