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Internship Machine Learning Engineer New Grad Jobs in Texas

Photon

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Capital One

Senior Machine Learning Engineer

Plano, TX · On-site +1

$100K - $137.30K/yr

At least 4 years of experience programming with Python, Scala, or Java (Internship experience does ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

ExtendMyTeam

Machine Learning Engineer

Austin, TX

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...

Cymertek

Machine Learning Engineer

San Antonio, TX

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative ...

Avride

Machine Learning Engineer

Austin, TX

About the Role We are looking for an experienced Machine Learning Engineer with a strong background ... Ability to quickly absorb new concepts by reviewing research papers, technical reports, and ...

Apple

Machine Learning Engineer

Austin, TX · On-site

... new projects and craft upcoming products that will delight and encourage millions of Apple ... or building machine learning models.Proficiency in one or more object-oriented programming ...

Pluralsight, LLC

Machine Learning Engineer

Westlake, TX

$160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... You enjoy learning and are open to new ways of doing things. * You are not afraid to be yourself ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the Role We are looking for an experienced Machine Learning Engineer with a strong background ... Ability to quickly absorb new concepts by reviewing research papers, technical reports, and ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... eligible new parents * Community Volunteering & Company Philanthropy Programs * Employee Peer ...

Q2

Machine Learning Engineer

Austin, TX

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... eligible new parents * Community Volunteering & Company Philanthropy Programs * Employee Peer ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... machine learning and software engineering Preferred Qualifications PhD or Graduate degree with ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... machine learning and software engineering Preferred Qualifications PhD or Graduate degree with ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... machine learning and software engineering Preferred Qualifications PhD or Graduate degree with ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... We are looking forward to adding new perspectives to our team! Shipwell employees will only ever ...

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Internship Machine Learning Engineer New Grad information

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

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What types of projects do Machine Learning Engineer interns typically work on, and how do these contribute to the overall team's goals?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What does an Internship Machine Learning Engineer New Grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Texas? The most popular types of Machine Learning Engineer New Grad jobs in Texas are:
What are popular job titles related to Internship Machine Learning Engineer New Grad jobs in Texas? For Internship Machine Learning Engineer New Grad jobs in Texas, the most frequently searched job titles are:
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What cities in Texas are hiring for Internship Machine Learning Engineer New Grad jobs? Cities in Texas with the most Internship Machine Learning Engineer New Grad job openings:
Internship Machine Learning Engineer New Grad jobs near you
Machine Learning Engineer - NJ

Machine Learning Engineer - NJ

Photon

Addison, TX

$54 - $71.50/hr

Other

Posted 19 days ago

Job description

Summary:

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and engineering teams to solve complex business problems, identify data-driven opportunities, and create personalized experiences for customers. You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.

Key Responsibilities: Analytics Model Development:

  • Analyze use cases and design appropriate analytics models using statistical and machine learning algorithms tailored to specific business requirements.
  • Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
  • Apply expertise in data mining and machine learning techniques, including  forecasting, prediction, segmentation, recommendation, and fraud detection.

Data Engineering and Preparation:

  • Extend and augment company data with third-party data to enrich analytics capabilities.
  • Enhance data collection procedures to include necessary information for building analytics systems.
  • Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy).

Machine Learning Model Implementation:

  • Implement machine learning models, considering both performance and scalability using tools like PySpark in Databricks.
  • Design and build infrastructure to facilitate large-scale data analytics and experimentation.
  • Work with tools like Jupyter Notebooks for data exploration and model development.

What We're Looking For:

  • Educational Background: Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A PhD is preferred but not necessary.
  • Experience:
    • At least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms such as classification and regression analysis.
    • High-level knowledge of analytics use cases such as language analysis, assortment optimization, promotional planning, dynamic pricing, markdown optimization, labor scheduling, and optimization.
  • Technical Skills:
    • Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
    • Proficiency in using analytics platforms like Databricks for large-scale data processing.
    • At least 4 years of continuous experience with Spark, particularly PySpark implementation.
    • Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.

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