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Machine Learning Engineer Intern Jobs in Lusby, MD

Bowhead

Senior Data Scientist

Saint Inigoes, MD · On-site

$90K - $150K/yr

... programming languages and visualization software. Responsibilities * Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze ...

Bowhead

Senior Data Scientist

Saint Inigoes, MD · On-site

$90K - $150K/yr

... programming languages and visualization software. Responsibilities * Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze ...

ManTech

Systems Engineer

Lexington Park, MD · Hybrid

$77K - $128K/yr

Needs to occasionally move about inside the office to access file cabinets, office machinery, etc ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

ManTech International

Systems Engineer

Patuxent River, MD · On-site

$77K - $128K/yr

Needs to occasionally move about inside the office to access file cabinets, office machinery, etc ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

ManTech

Systems Engineer

Lexington Park, MD · Hybrid

$98K - $163K/yr

Occasionally move about inside the office to access file cabinets, office machinery, or to ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

ManTech

Model Based Systems Engineer

Lexington Park, MD · On-site

$98K - $163K/yr

Occasionally move about inside the office to access file cabinets, office machinery, or to ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

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Showing results 41-60

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Lusby, MD

Machine Learning Engineer Intern information

See Lusby, MD salary details

$25.5K

$42.5K

$87.9K

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

As of Sep 5, 2026, the average yearly pay for machine learning engineer intern in Lusby, MD is $42,548.00, 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 is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What cities near Lusby, MD are hiring for Machine Learning Engineer Intern jobs?

Cities near Lusby, MD with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Lusby, MD as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,548 per year, or $20.5 per hour.

Senior Field Specialist - Data Engineering & Streaming (Pre-Sales)

Cloudera

California, MD • On-site, Remote

$53 - $68.25/hr

Full-time

PTO

Posted 9 days ago

Key responsibilities

  • Lead customer engagements by designing and presenting scalable, cloud-native data engineering architectures and business outcomes to technical and executive stakeholders.

  • Provide deep domain expertise throughout the sales cycle, supporting PoCs, solution sizing, and adoption for data prep, CDC, streaming use cases, and AI readiness.

  • Troubleshoot and resolve complex technical issues in data pipelines, providing guidance and leading escalations to ensure customer success.

Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

Data Engineering & Streaming Specialist (Pre-sales /Customer facing)

Are you passionate about making data and AI use cases accessible for enterprise clients?

Cloudera is seeking a pre-sales customer-facing, hands-on Data Engineering & Streaming Specialist to join our team in the US. In this pivotal role, you'll leverage your deep technical expertise to empower our customers, influence product direction, and drive success across our most impactful data engineering, real-time streaming, and AI readiness use cases. If you thrive on creative freedom and shaping the future of cloud-native data architectures and AI at scale, we encourage you to apply.

As a Data Engineering & Streaming Specialist, You Will (Responsibilities)

  • Lead customer engagements by designing and presenting scalable, cloud-native data engineering architectures and business outcomes to technical and executive stakeholders.

  • Provide deep domain expertise throughout the sales cycle, supporting PoCs, solution sizing, and adoption for new and existing customers focusing on data prep, CDC, streaming use cases, and AI readiness.

  • Troubleshoot and resolve complex technical issues in data pipelines, providing guidance and leading escalations to ensure customer success.

  • Drive internal and external technical enablement by exploring new cloud-native streaming and batch technologies, developing educational materials, and sharing best practices.

  • Influence product roadmap by translating customer feedback and EMEA-specific requirements into actionable insights for our product and engineering teams.

  • Act as a Cloudera evangelist, participating in community activities, speaking at events, and contributing to knowledge sharing around modern, AI-ready data engineering.

  • Collaborate effectively with cross-functional teams (Sales, Product, Engineering) to align on customer success and product vision.

We're excited about you if you have:

  • Proven experience leading and implementing mission-critical data use cases in industries such as Financial Services, Retail, Healthcare, Public Sector, etc.

  • Proven experience in designing, building, and deploying enterprise-grade data engineering pipelines and real-time streaming solutions on modern, cloud-native data architectures.

  • Hands-on expertise with leading data processing and streaming technologies, specifically Apache Spark, Airflow, Apache NiFi, Apache Flink, and Apache Kafka.

  • Strong background in architecting production data deployments across hybrid and multi-cloud environments, with specific expertise in data preparation, Change Data Capture (CDC), and data ingestion at massive scale.

  • Demonstrated ability to run Proofs of Concept (PoCs) and MVPs that lead to successful, enterprise-grade production deployments, ensuring data pipelines are optimized for AI readiness.

  • Practical experience in designing and implementing data-intensive use cases, including navigating the associated security, data quality, and governance challenges required to build an AI-ready data foundation.

  • Exceptional presentation skills, comfortable engaging with diverse audiences from data engineers to senior executives.

  • Ability to analyse customer data workloads and define technical migration or modernization roadmaps tailored to their specific needs.

You'll Be Well-Positioned for Success If You Bring (Bonus Qualifications):

  • Prior experience in pre-sales or technical consulting roles with a strong focus on big data & AI platform solutions.

  • Direct experience with legacy or competing streaming/data engineering platforms (e.g., Confluent, Databricks, AWS EMR/Glue) and advising customers/partners on migration strategies to cloud-native alternatives.

  • Experience with DataOps, including CI/CD for data pipelines and automated data quality frameworks essential for trusted AI.

  • Experience with, and interest in, open-source software and development practices.

  • Familiarity with Cloudera's Data Engineering (CDE) and DataFlow (CDF) components, as well as Shared Data Experience (SDX).

  • Relevant technical certifications (e.g., Databricks Certified Data Engineer, Confluent Certified Developer, AWS Certified Data Analytics).

  • Working knowledge of the broader open-source data and AI ecosystem, particularly open table formats that drive cloud-native architectures (e.g., Apache Iceberg) and container orchestration (Kubernetes).

  • Deep understanding of the data engineering prerequisites required for machine learning, deep learning, and generative AI applications.

This role is not eligible for immigration sponsorship.

The anticipated annual base salary range for this position is:

California: $166,000 - $230,000

Colorado: $146,000- $180,000

Illinois: $154,000- $190,000

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

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