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Machine Learning Researcher Jobs in Louisiana (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

New Orleans, LA · On-site

$98K - $129K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

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All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Louisiana

Machine Learning Researcher information

See Louisiana salary details

$25.7K

$96.7K

$140.7K

How much do machine learning researcher jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning researcher in Louisiana is $96,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $131,700.00 per year, depending on experience, location, and employer.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are the most commonly searched types of Machine Learning Researcher jobs in Louisiana? The most popular types of Machine Learning Researcher jobs in Louisiana are:
What are popular job titles related to Machine Learning Researcher jobs in Louisiana? For Machine Learning Researcher jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Louisiana look for? The top searched job categories for Machine Learning Researcher jobs in Louisiana are:
What cities in Louisiana are hiring for Machine Learning Researcher jobs? Cities in Louisiana with the most Machine Learning Researcher job openings:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,716 per year, or $46.5 per hour.

Research Associate V

University of Louisiana, Lafayette

Lafayette, LA

Full-time

Re-posted 23 days ago

University Of Louisiana At Lafayette rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

158th of 617 rated colleges and universities

Job description

Research Associate IV / V

Job Summary:
TheDepartment of Civil and Environmental Engineering of the University ofLouisiana at Lafayette seeks a Research Associate IV/V to be positioned at theLouisiana Transportation Research Center (LTRC) at Baton Rouge, LA. Thesuccessful candidate will work at LTRC's Intelligent Transportation Systems(ITS) Lab, a state-of-the-art facility where traffic data is collected,analyzed, and reported. The research associate will provide technical expertisein all aspects of the data collection, analysis, and reporting stages of aresearch project.  Research projectsrange from traffic simulation studies to experimental studies that implementnovel traffic solutions. This position is expected towork on analyzing transportationengineering data including but not limited to probe data, crash data, trafficflow data, census data etc. and developing meaningful inferences, whilesupporting solution development through traffic modeling, statisticalmodeling and machine learning approaches as well as the development and managementof relational databases.
Job Responsibilities:
Thecandidate will contribute to the conceptualization of research and proposaldevelopment with principal investigators.  With assistance, the successful applicant will develop the day-to-dayoperations of research projects including: literature reviews, research design,research execution, data analysis, report writing, presentations, andpublications.  Duties andresponsibilities include:
-Develop and maintain databases using direct access and application data import and retrieval processes.
-Perform research and analyze traffic data to address ITS, traffic safety, and planning issues. The candidate will serve as the primary resource on data analytics.
-Produce meaningful visualizations from data analytics for inclusion in research reports.
-Provide technical expertise in the application of machine learning algorithms in traffic modeling and simulation work that incorporates emerging concepts including connected and/or automated vehicles.
-Interpret and derive meaningful insights from statistical and machine learning analyses related to traffic safety, planning, and ITS.
-Contribute to the conceptualization and creation of research statements, proposals, and reports.

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