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Director Of Machine Learning Jobs in Minnesota (NOW HIRING)

Support the development of computer vision and machine learning algorithms for detecting ... classifying, localizing, and tracking objects-of-interest using UAV-mounted gimballed cameras ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Job Summary This role supports the development and modernization of the demand forecasting ... Must Have Machine Learning & Data Science Experience building and deploying ML models in production ...

R&D Intern

Saint Paul, MN · On-site

$25/hr

... directors, and CEO. * Multiple networking, volunteer and fun events - both virtual and in-person ... The R&D (Materials Data) Intern will work at the intersection of machine learning, chemistry, and ...

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. As a Senior Machine Learning Engineer, you ...

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Director Of Machine Learning information

What does a director of machine learning do?

A Director of Machine Learning leads and oversees machine learning teams and projects within an organization. They are responsible for setting the strategic direction for AI and ML initiatives, managing research and development, and ensuring successful deployment of machine learning solutions. Their role often includes collaborating with other departments, mentoring staff, and staying updated with the latest advancements in the field. Ultimately, they ensure that machine learning technologies are effectively leveraged to meet business goals.

What are the typical challenges a director of machine learning faces when leading cross-functional teams?

As a Director of Machine Learning, one common challenge is aligning the goals and expectations of data scientists, engineers, and business stakeholders. Balancing innovative research with practical deployment requires strong communication and prioritization skills. Additionally, ensuring that machine learning solutions are scalable, ethical, and meet organizational needs often involves navigating resource constraints and evolving technologies. Effective directors foster collaboration, provide technical guidance, and help teams stay focused on deliverable outcomes.

What are the key skills and qualifications needed to thrive as a director of machine learning, and why are they important?

To thrive as a Director Of Machine Learning, you need advanced expertise in machine learning algorithms, statistical analysis, and a strong background in computer science or a related field, typically supported by a master's or PhD degree. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud platforms, along with project management experience, is essential. Leadership, strategic vision, and excellent communication skills are crucial soft skills for guiding teams and aligning ML initiatives with business goals. These skills ensure that complex ML projects are successfully designed, implemented, and deliver tangible value to the organization.

Summer 2027 Machine Learning Intern

Full-time, Temporary, Internship

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Worker Type

Supplemental

Job Description

Summer Internship Program Our paid Summer Internship Program is designed to provide students with an immersive, hands-on experience within the aerospace and defense industry. Interns work alongside AV team members on meaningful projects involving cutting-edge technology while developing professional relationships, strategic problem-solving skills, and practical experience in a full-time work environment.

This is a 12-week, onsite program intended for highly motivated and passionate students who are currently enrolled in college or are recent graduates. Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above.

Our program has been recognized by Yello and WayUp as one of the Top 100 Internship Programs in the United States for multiple years.

Depending on the team and location, students who are willing to relocate for their internship may be eligible for a relocation and housing reimbursement stipend.

AV offers internship opportunities across various teams and locations throughout the United States. Specific team, location, and program details will be discussed during the interview process.

As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in developing innovative computer vision solutions for defense and commercial applications. You will contribute to small, focused design teams working on detection, classification, localization, and tracking technologies. This internship will expose you to various stages of the development process including concept design, prototyping, testing, and evaluation.

Position Responsibilities

  • Support the development of computer vision and machine learning algorithms for detecting, classifying, localizing, and tracking objects-of-interest using UAV-mounted gimballed cameras.
  • Assist in writing and testing software to integrate ML algorithms into aircraft systems (e.g., autopilots, payloads, robotic platforms).
  • Explore and visualize data to understand distribution patterns and potential anomalies.
  • Assist in implementing machine learning systems and validating designs through experiments.
  • Help define objectives, develop models, and track their performance using metrics.
  • Perform data analysis tasks using AV tools and industry-standard platforms.
  • Help manage project resources such as datasets, hardware, and time to support project timelines.
  • Contribute to the evaluation of ML algorithm performance and model deployment strategies.
  • Participate in data preparation activities, including cleaning and transformation.
  • Assist in error analysis and developing corrective strategies.
  • Research and experiment with appropriate ML algorithms and tools.
  • Support running tests and experiments on selected datasets and data representations.
  • Follow standard procedures to analyze data and support development tasks.
  • Perform other duties as assigned.

Basic Qualifications (Required Skills & Experience)

  • Currently pursuing a BS in Computer Vision, Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Familiarity with C/C++ and MATLAB.
  • Proficiency with office productivity tools.
  • Basic troubleshooting skills for technical systems.

Other Skills & Qualifications

  • Exposure to deep learning frameworks (e.g., TensorFlow, Keras).
  • Familiarity with Python and libraries such as scikit-learn and pandas.
  • Experience with data visualization and handling large datasets.
  • Exposure to OpenCV and working in a Linux environment.
  • Understanding of key concepts in:
  • Machine learning
  • Computer vision
  • Mathematical optimization
  • Data mining
  • Predictive analytics
  • Ability to assist in selecting hardware/software for model deployment.

Preferred Qualifications

  • Effective communication and teamwork skills.
  • Strong initiative and eagerness to learn in a fast-paced R&D environment.
  • Willingness to take ownership of tasks and learn from feedback.
  • Ability to adapt to changing priorities and work independently under supervision.

Physical Demands

  • Ability to work in an office and lab environment.
  • May be required to sit or stand for long periods, use hands/fingers for computer and communication tasks.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A “U.S. person” according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits : AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: .

We also encourage you to review our company website at to learn more