Machine Learning Intern
$27 - $42/hr
To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...
New
Machine Learning Intern
$27 - $42/hr
To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...
New
Machine Learning Intern
$27 - $42/hr
To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...
New
Machine Learning Intern
$27 - $42/hr
To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...
New
Machine Learning Intern
Livingston, NJ · On-site
$27 - $42/hr
To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...
New
Machine Learning Intern
Livingston, NJ · On-site
$27 - $42/hr
To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...
New
Machine Learning Intern
New York, NY · On-site
$27 - $42/hr
To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...
New
Machine Learning Intern
New York, NY · On-site
$27 - $42/hr
To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...
New
Machine Learning Researcher - PhD Intern (US)
Manhattan, NY · On-site
$4.5K - $5.8K/wk
Specifically, the goal of this team is to leverage and tailor the state-of-the-art machine learning ... As an intern, you'll get to challenge the impossible in research through an 11 week program that ...
Machine Learning Researcher - PhD Intern (US)
Manhattan, NY · On-site
$4.5K - $5.8K/wk
Specifically, the goal of this team is to leverage and tailor the state-of-the-art machine learning ... As an intern, you'll get to challenge the impossible in research through an 11 week program that ...
Machine Learning Engineer
Manhattan, NY · On-site
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...
Machine Learning Engineer
Manhattan, NY · On-site
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...
Machine Learning Engineer
New York, NY · On-site
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...
Machine Learning Engineer
New York, NY · On-site
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...
Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all ...
Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all ...
Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all ...
Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
Startup Machine Learning Intern information
What does a startup machine learning intern do?
A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.
What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?
As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.
What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?
To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.
What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?
| Aspect | Startup Machine Learning Intern | Startup Data Scientist |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in CS, Data Science, or related fields | Bachelor's or Master's in Data Science, Statistics, or related fields; often with experience |
| Work Environment | Entry-level, learning-focused, collaborative team setting | Advanced projects, strategic decision-making, leadership roles |
| Employer & Industry Usage | Startups, tech companies, research labs | Startups, tech firms, larger organizations with data teams |
The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.
What are popular job titles related to Startup Machine Learning Intern jobs in New York?
For Startup Machine Learning Intern jobs in New York, the most frequently searched job titles are:
- Machine Learning Summer Internship
- Freelance Edge Ai Machine Learning
- Geometric
- Computer Science Phd Research Intern
- Internship Basketball Data Analyst
- Internship Ibm Quantum Machine Learning
- Contract Machine Learning Engineer Biotech
- Internship Particle Accelerator
- Intern Data Scientist Apprentice
- Internship Edge Ai Machine Learning
What job categories do people searching Startup Machine Learning Intern jobs in New York look for?
The top searched job categories for Startup Machine Learning Intern jobs in New York are:
What cities in New York are hiring for Startup Machine Learning Intern jobs?
Cities in New York with the most Startup Machine Learning Intern job openings:
Job description
Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
Role Summary
The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.
Here are some example projects that may be prioritized for an internship:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Areas of Focus
The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise setting. To that end, there are three major components with which an intern should expect to engage.
Modeling
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Software Development
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Business Value and Processes
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
Relevant majors and areas of expertise
Data Science
Computer Science
Mathematics
Natural or Social Sciences
Relevant additional backgrounds also considered
The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.
Here are some example projects that may be prioritized for an internship:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Areas of Focus
The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise setting. To that end, there are three major components with which an intern should expect to engage.
Modeling
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Software Development
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Business Value and Processes
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
Relevant majors and areas of expertise
Data Science
Computer Science
Mathematics
Natural or Social Sciences
Relevant additional backgrounds also considered
Essential Job Functions:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
Crowe accepts applications for this role on an ongoing basis.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $27.00 - $42.00 per hour.Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.
Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.
We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role's responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.
If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation
About Crowe
Sourced by ZipRecruiter
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.
Industry
Accounting services
Company size
1,001 - 5,000 Employees
Headquarters location
Chicago, IL, US