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Machine Learning Engineer New Grad Jobs in Birmingham, AL

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Prepare data pipelines to enable machine learning workflows DevOps & Modern Engineering Practices * Implement CI/CD pipelines for data engineering deployments * Work within Agile development ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Be Seen First

The ideal candidate must have scripting and programming experience using Visual Basic/VB.NET and/or ... or machine learning is a significant plus. Key Responsibilities * Support, maintain, troubleshoot ...

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Machine Learning Engineer New Grad information

See Birmingham, AL salary details

$29.5K

$120.7K

$181.3K

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

As of Sep 7, 2026, the average yearly pay for machine learning engineer new grad in Birmingham, AL is $120,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $145,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

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 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 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 popular job titles related to Machine Learning Engineer New Grad jobs in Birmingham, AL?

For Machine Learning Engineer New Grad jobs in Birmingham, AL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in Birmingham, AL look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Birmingham, AL are:

Infographic showing various Machine Learning Engineer New Grad job openings in Birmingham, AL as of August 2026, with employment types broken down into 77% Full Time, 10% Part Time, and 13% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $120,681 per year, or $58 per hour.

GIS Data Engineer

EBSCO Industries, Inc.

Birmingham, AL • On-site

Full-time

Re-posted 19 days ago


Key responsibilities

  • Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools.

  • Acquire, clean, transform, and load geospatial datasets to support product, engineering, and analytics use cases.

  • Perform quality assurance checks to improve data completeness, consistency, and usability.


Job description

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.
We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven - hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.
We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team
Job Summary
Moultrie is actively growing its geospatial capabilities across existing Mapbox-based mobile applications, upcoming web experiences, and support for machine learning and data science workflows. This role helps ensure geospatial data is identified, acquired, transformed, documented, and delivered with quality and reliability.
Job Responsibilities
Key Responsibilities
  • Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools.
  • Acquire, clean, transform, and load geospatial datasets to support product, engineering, and analytics use cases.
  • Execute against defined priorities and deadlines while raising risks early and communicating status clearly.
  • Perform quality assurance checks to improve data completeness, consistency, and usability.
  • Document data lineage, transformation methods, assumptions, and known gaps (for example, counties/states with missing data).
  • Contribute to repeatable geospatial processes and help improve internal GIS standards over time.
  • Support occasional off-hours on-call needs for geospatial operations.
  • Participate in interviews and provide hiring feedback when requested.

What Success Looks Like
  • Priority geospatial initiatives are delivered by agreed deadlines with clear documentation.
  • Data products are complete where possible, with clear documentation of missing or unavailable data.
  • GIS workflows are repeatable, documented, and trusted by partner teams.
  • Cross-functional teams can reliably use geospatial outputs in products, analytics, and planning.

Job Requirements
Required Qualifications
  • 3+ years of professional GIS experience.
  • Hands-on experience with QGIS, PostGIS, GDAL, Mapbox, Python, and SQL.
  • Demonstrated ability to build or support cloud hosted geospatial ETL/data preparation workflows.
  • Experience collaborating with cross-functional stakeholders and communicating technical details clearly.
  • Strong attention to detail, time management, curiosity, and ownership mindset.

Preferred Qualifications
  • 5+ years of GIS experience.
  • Experience supporting geospatial needs for product teams and/or machine learning/data science initiatives.
  • Familiarity with cloud computing in Microsoft Azure.
  • Experience with Spatiotemporal Asset Catalogs (STAC) and cloud native geospatial formats.

What We Offer
  • The funding and long-term focus of a privately-held company, combined with the energy of a startup.
  • The opportunity to work with cutting edge geospatial tools in an emerging GIS team.
  • Remote-friendly culture with an optional annual hunting trip.

Essential Job Function
We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.
We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.