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Machine Learning Engineer New Grad Jobs in Minnesota

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

We're looking for a Principal Machine Learning Engineer to build AI features for the family ... Up to a 4% match with immediate vesting. * 12 weeks of paid leave for all new parents. * Learning ...

Staxa Technologies

AI engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Job Overview We are seeking an experienced AI / Machine Learning Engineer to design, build, and deploy production-grade AI systems. In this role, you will bridge the gap between AI research and ...

Deloitte

AI Solutions Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

AI Engineer - SFL Scientific

Minneapolis, MN · On-site

They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to ... new architectures to support machine learning & automation applications • Leverage advanced ...

Deloitte

AI Engineer - SFL Scientific

Minneapolis, MN · On-site

Our engineering team leverages emerging technologies and best practices across data security ... Work with clients to design, develop, and deploy new architectures to support machine learning ...

Deloitte

Senior AI Engineer - SFL Scientific

Minneapolis, MN · On-site

$109K - $149K/yr

Our engineering team leverages emerging technologies and best practices across data security ... Work with clients to design, develop, and deploy new architectures to support machine learning ...

Autodesk

... new Industry Cloud. As a Principal Research Engineer on the AEC Solutions team, you will join a ... Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ... New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base ...

Thomson Reuters

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

Experience integrating Machine Learning solutions into production-grade software with a sound ... New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Minnesota

Machine Learning Engineer New Grad information

See Minnesota salary details

$30.9K

$126.1K

$189.5K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 26, 2026, the average yearly pay for machine learning engineer new grad in Minnesota is $126,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $151,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Minnesota? For Machine Learning Engineer New Grad jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Minnesota look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Minnesota are:
What cities in Minnesota are hiring for Machine Learning Engineer New Grad jobs? Cities in Minnesota with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you

Principal AI / ML Engineer

NxT Level

Minneapolis, MN • On-site

Full-time

Medical, Retirement, PTO

Posted 3 days ago

Job description

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.
Qualifications:
  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities:
  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.

Benefits:
  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.

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