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Fall Machine Learning Co Op Jobs in New York (NOW HIRING)

Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer.

Machine Learning Engineer

New York, NY · On-site

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

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Fall Machine Learning Co Op information

See New York salary details

$27.9K

$46.6K

$96.3K

How much do fall machine learning co op jobs pay per year?

As of Aug 17, 2026, the average yearly pay for fall machine learning co op in New York is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in New York?

For Fall Machine Learning Co Op jobs in New York, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in New York look for?

The top searched job categories for Fall Machine Learning Co Op jobs in New York are:

What cities in New York are hiring for Fall Machine Learning Co Op jobs?

Cities in New York with the most Fall Machine Learning Co Op job openings:

Infographic showing various Fall Machine Learning Co Op job openings in New York as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

Intern/Co-op - Geotechnical Engineering (Fall 2026)

Langan

Parsippany, NJ • On-site

$23 - $30/hr

Other

PTO

Posted 2 days ago

New


Langan rating

8.8

Company rating: 8.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

66th of 449 rated engineering


Job description

Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout the U.S. and around the world. Our employees collaborate seamlessly among 50+ offices and gain valuable hands-on experience that fosters career growth. Langan culture is entrepreneurial from advancing innovative technical solutions, to participating in robust training and knowledge sharing, to making progressive change within the communities we live and work.
Consistently ranked among the top ten "Best Firms to Work For" and Engineering News-Record's top 50 firms worldwide, Langan attracts and retains the best talent in the industry. Employees thrive at Langan, a firm that fosters an inclusive and supportive work environment for all; prioritizes wellbeing, health, and safety; encourages volunteerism and philanthropy; offers workplace flexibility, along with carbon-neutral office spaces; and empowers individuals to contribute their skills and knowledge to make impactful contributions.
Job Summary
Langan is seeking a fall Intern/Co-op - Geotechnical Engineering to join its collaborative team in Parsippany, NJ. This individual will serve a key function in providing assistance with technical aspects of diverse geotechnical projects, both small and large scale. In this role, you will have the opportunity to partner directly with geotechnical leadership and gain exposure to site feasibility studies which may involve field work, technical report preparation and calculations, pre-construction conditions documentation, design plans and specifications.
Job Responsibilities

  • Assist with the planning and execution of field investigations, including logging borings and test pits, collecting samples, performing field tests, and collecting and recording data;
  • Observe foundation and earthwork construction activities; monitor conformance with the construction documents (plans and specifications);
  • Identify and implement solutions to field and/or laboratory problems;
  • Prepare standard logs and field forms, including drilling and test pit logs, field investigation dailies, and chain of custody logs;
  • Conduct file reviews, site reconnaissance, and document searches;
  • Perform calculations and learn to perform engineering analyses; learn geotechnical engineering software;
  • Prepare report exhibits, figures, and plans using AutoCAD;
  • Prepare reports, documenting field investigations and analytical results;
  • Performs other duties as requested.
Qualifications
  • A student actively pursuing a 4-year or advanced degree in Civil or Geotechnical Engineering; Geotechnical coursework preferred;
  • A cumulative GPA of 3.0 or greater is preferred;
  • Working knowledge of AutoCAD and Microsoft Office Suite applications;
  • Excellent written and verbal communication skills;
  • Strong attention to detail with excellent analytical, multitasking, and judgment capabilities;
  • Ability to effectively work independently and in a team environment; and
  • Possess reliable transportation to access job site visits and a valid driver's license in good standing.

Please submit your resume. Preference will be given to students who are currently in their Jr. or Sr. year or to students pursuing their MS degree.
Langan does not provide housing or relocation assistance for internship/co-op positions.
Langan offers employee resource groups; flexible work schedules; extensive training; wellness programs; buddy and mentoring programs; and much more!
Langan is committed to providing equal employment opportunities to all qualified applicants and employees, including individuals with disabilities and protected veterans. We believe that an inclusive workplace is essential for the well-being and success of our employees.
Certain US jurisdictions require Langan to include an estimate of salary or hourly ranges. Actual compensation may vary based on factors such as related work experience, location, market conditions, education/training, certifications and other credentials, as well as applicable knowledge and skills. Certain roles may be eligible for overtime and participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm. Employees are also eligible to receive up to 20 days of paid vacation time, 10 days of paid sick time and 10 paid holidays throughout the year. Eligibility and actual paid time off may vary based on local law and factors such as hours worked, related work experience and level.
Pay Range
$23-$30 USD
Please review our Applicant Privacy Notice at Collection to understand how we collect, use, and retain your personal information: https://www.langan.com/langan-notice-at-collection

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